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Head Of Product Analytics Data Science And Insights | Fountain |
Fountain is enterprise software that accelerates global high volume hiring. Our customers hire millions of hourly workers annually in 78 countries. Job seekers often struggle to get connected with companies seeking hourly workers due to inefficiencies in their hiring processes, and Fountain makes it easier for them to get offers for work quickly. Getting hired fast eases some of the financial instability millions of families face.
Fountain is a Remote-first company that embraces a work from anywhere policy and offers flexibility on location, so our employees feel free to enjoy the world. Fountain is widely trusted by leading organizations, including Chipotle, StitchFix, GoPuff and Just Eat Takeaway.
We just 4.5Xed in valuation in our Series C, which was led by Softbank and B Capital. We plan on keeping this hyper-growth going this year! Come join us on this rocket ship!
Why will you enjoy this new opportunity?
Fountain processes 40+ million job applications per year. We have barely scratched the surface on how we can use this data to help our customers design best practices, give applicants and customers the best possible user experience, use ML to automate conversations, and publicly publish our insights to the world in the middle of the tightest job market for hourly workers in 15 years.
In this job, you will be building a new function of Fountain, so building high performance teams needs to be in your DNA. You’ll have input from product design to backend eng logging.
We are a start up. The ideal candidate loves going wide (designing board conceptual frameworks) and deep (willing to go into the SQL code to find the errors on rare occasions).
This role reports directly in to the COO.
What you'll be doing:
Develop the long-term vision and strategy for a new team
Partner closely with sales, marketing, product, business operations & engineerings to influence business strategy, identify opportunities, build scalable solutions for critical problems, and evangelize the integration of data science products into systems, processes and decisions
Develop a high level of technical quality, business impact, and a relentlessly customer-focused mindset
Manage processes to help the team do its best work, collaborate in an open and inclusive environment, and engage effectively with the rest of Stripe
Recruit a talented and diverse team of data scientists and analysts, in collaboration with Fountain’s recruiting team
Develop and lead a team of data scientists and analysts, helping them advance in their careers
What you should bring:
A PhD or MS in a quantitative field (e.g., statistics, economics, sciences, mathematics, engineering) (MBA, a Plus)
5-8+ years of hands-on experience designing, building and maintaining production machine learning applications
5+ years of management experience leading and growing diverse, high-performing teams, including managing other managers
Track record of creating a positive culture that’s both supportive and challenging
Expertise in statistics, machine learning, causal inference, forecasting and/or and experimental design
Proficiency in a scientific computing language (such as R or Python) and SQL
Strong ability to solve ambiguous and complex business problems, think rigorously and make hard decisions and tradeoffs
A track record building strong collaborative relationships with business and technical partners, excellent stakeholder management and influencing skills
Exceptional ability to communicate strategy and technical concepts clearly across disciplines, organizations, and senior audiences
A can-do attitude, empathy, commitment to great results, and genuine passion for learning
Balance between intellectual curiosity and the desire to roll up your sleeves and execute
Perks & Benefits:
Flexible PTO & Work Hours
"Work from Anywhere" Policy
Comprehensive medical, dental, and vision coverage
HSA & FSA (Medical and Dependent Care)
Life Insurance & STD/LTD
10 Weeks Paid Parental Leave for Birth/Adoption
Wellness/Gym Reimbursement
Phone Stipend
Remote IT/Home Office Stipend
Learning and Development Reimbursements
Fun, interactive and inclusive team-building events, off-sites, and happy hours
401K Plan
Even if you do not meet all the requirements above, we still encourage you to apply for this position. While we try to be thorough with our prerequisites, not everything about you as a candidate can be condensed into a list of bullet points.
We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, socioeconomic status, disability, and veteran status.
*Fountain is proud to be an Equal Opportunity Employer—M/F/D/V*
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Senior Manager Data Science | Vsco |
VSCO helps tens of millions of people be creative, share their work, find inspiration and nurture a community. Its users and partners generate billions of data points every single day. As a Senior Manager of the Data Science team, you will be responsible for leading a team that utilizes this large volume of data, and the data platform, to provide trusted insights and advice for the business. You must bring a deep background in Analytics and Data Science to the table along with demonstrated experience in building and managing a team. You’ll help set the vision and roadmap to grow VSCO’s data platform and the tech stack for analysis and modeling. Your team will be a key influence to help to ship beloved products and to help operate the company.
The day-to-day
Set the near term and long term strategy for data usage, sharing, analysis, modeling etc.
Be a trusted advisor to VSCO’s executive team and provide insights to inform the company’s strategy.
Manage, mentor and grow a team of skilled Data Analysts and Data Scientists proactively with continuous feedback, thought leadership, partnership, and formal reviews
Help Product and Lifecycle Marketing teams incorporate data, insights and model outputs into their plans to drive product engagement, usage and subscription renewals to company goals
Coach team members with their near term work on campaign/experiment setup, testing, and analysis
Create room for long lead projects like exploratory analysis; models for churn prediction, anomaly detection, forecasting etc.
Handle ambiguity elegantly, moving your team from uncertainty to clarity
Qualifications
4+ years experience managing a team of Data Analysts and/or Data Scientists to deliver insights and help internal partners make decisions across functions such as Product Management, Marketing, Design and Engineering.
Expertise in working with a varied data platform using building blocks like Airflow, Spark, AWS RedShift etc. and commercial technologies to support product teams and business operations
Proven track record of helping grow team members in their careers and attracting top talent to the team.
Deep knowledge and expertise in designing experiments to measure product impact, and developing automated processes to enable self-serve analytics
Strong technical background and experience working via influence with Engineering, Product Management, Design, and Marketing to drive a high-volume product business for a mobile app or website
Bachelor’s degree, in Statistics, Applied Mathematics, Computer Science, Economics, or other quantitative field, or equivalent experience
Hands-on experience with ETL, data pipelines, Python, SQL, R and various IDEs (Jupyter Notebooks etc.)
Excellent verbal and written communication skills, including comfort presenting to executives and large groups
Nice to have
Experience supporting a subscription-based business using consumer-facing mobile applications
Knowledge of the creative tools ecosystem and technology, ideally having worked in that space
Appreciation for photography and/or the visual arts
About VSCO
VSCO is a mobile app that helps you create beautiful, professional-looking photos and videos right from your mobile phone. We offer extensive high-end photo and video editing features, including 200+ presets, and access to a vibrant global community that inspires people to create and to share their diverse experiences with one another. Across all products and services, VSCO’s mission is to help everybody fall in love with their own creativity.
Job Perks
Equity, health, vision, dental insurance for families, flexible vacation policy, Creative Fridays, and a quarterly “Hack Week” to foster engineering ingenuity!
Why VSCO?
Creative Freedom
We value the creative process and our employees’ opinions — input is encouraged, regardless of your position or title. We want to work with people who are driven and demonstrate initiative in taking our mission to the next level.
The Working Life
At VSCO, everyone works hard but also takes the time to enjoy life outside of the office. Balance is important to us.
It Won’t Be Boring
Try new things. Think outside the box. We celebrate an environment that fights stagnation and challenges the status quo.
Interested in this position?
Tell us why you want to work at VSCO and what we should know about you.
VSCO believes in building a safe place for creative expression and celebrating that which makes us human, welcoming unique and personal backgrounds and experiences. We’re proud to foster diverse perspectives within VSCO as we continue to build an inclusive culture
#LI-Remote
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Senior Data Scientist | Hudl |
We believe each moment in sports can change the plan, change the game and change lives. That’s why our mission is to build the world’s most powerful network of sports video and data to empower teams to make every moment count.
How? By hiring people around the world who want to help us support coaches, players, analysts, recruiters, teams, clubs and fans. Hudl customers use our products to capture video, analyse data, share highlights and a lot more. They stay ahead of the game with the latest technology and we help them achieve their goals.
Want to join us?
We’re looking for a Senior Data Scientist to join our team and help us bring Hudl’s products to the next level by building more machine learning solutions. AML's focus is to scale Machine Learning(ML) at Hudl and keep improving Hudl products and workflows by integrating Machine Learning into them. AML is generating data by what Hudl knows best - video - and provides automation in a number of applications. We already have a number of ML models in production powering automation across Hudl and this is only the start of our journey. You will be part of a team currently focused on building deep learning algorithms with the aim to automatically extract high-quality data from video and images. You will have an impact across a number of projects and enable capabilities only possible through Machine learning.
You are
A Computer Vision scientist. Have 3+ years experience developing deep learning algorithms end-to-end, from formulating the problem, doing discovery on state-of-the-art techniques to developing production-ready code. You’ll likely be working with PyTorch and a number of AWS services.
Interested in digging into data to solve problems. Systems and processes don’t always work as expected, we need to evaluate data to make sure everything is operating as intended and has the effects we desire.
A problem solver. You are able to solve problems with unclear solutions in creative ways.
Flexible and excited to learn totally new domains and technologies. Your team will do whatever it takes to solve the problems at a high standard and get an algorithm into production. You see the opportunity in this and are ready to learn something new.
Someone who enjoys iterating from prototypes to production systems. It’s not always clear what the best implementation will be and we’ll have a lot of ideas that need to be evaluated. You know how to balance quick iteration with production quality updates, when requirements need to be adjusted, and when to push for more or less time on an experiment.
You will
Build algorithms to solve high-impact computer vision problems,
Learn how to build production-ready algorithms and iintegrate machine learning into Hudl products.
Collaborate with multiple product teams.
Have an impact directly on your users by integrating machine learning into Hudl’s products providing value to coaches and players.
We Will
Celebrate work at Hudl retreats. We like to gather our Hudlies from around the world to showcase achievements and strategize for the future.
Treat you like an adult. We’re all about a healthy work-life balance. We’ll give you unlimited vacation time and have company-wide timeout days (no meetings allowed).
Provide career growth. We’re lifelong learners who encourage professional development. We’ll give you tons of resources and opportunities to keep growing.
Supply you with tools for success. We've invested in our office spaces, designing them with our employees in mind. You’ll have the enriching, flexible environment and powerful hardware you need to do your job well.
Support your mental health. We care about our employees’ wellbeing. Our Employee Assistance Program and Employee Resource Groups have you covered.
Diversity at Hudl
Hudl is an equal opportunity employer. We understand the power of a diverse team, celebrate differences and promote inclusion.
We also know imposter syndrome is real and the confidence gap can get in the way of meeting spectacular candidates. Please don’t hesitate to apply—we’d love to hear from you.
Privacy Policy
https://www.hudl.com/jobs/hudl-applicant-and-candidate-privacy-policy
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Lead Data Scientist Marketplace | Stockx |
What this position is about:
The Data Science Team vision is to bridge the gap between strategic decision-makers at StockX. We serve as impartial, trusted advisors to the organization to drive and empower innovation. We prioritize holistic models and risk management techniques to solve business problems and develop a deeper understanding of the marketplace. We leverage that understanding to inform MVP development and test-and-learn approaches to expedite time-to-ROI.
As a Lead Data Scientist you will harness the complexity of our global two-sided marketplace and develop new features for internal and external users to grow the total resell market for consumer goods.
What you’ll do:
Dive into the unique needs of buyers and sellers throughout the global marketplace
Develop econometric, statistical, and optimization models with applications in marketplace design, pricing, and experimentation
Conduct competitive analysis to inform strategic decision-making
Present findings to both technical and non-technical business leaders
Design new data visualizations to distill complex topics for internal and external users
Partner with engineers and product managers to implement new solutions based on your prototypes
Identify new opportunities to apply quantitative methods to grow the business
Mentor junior team members and educate business partners on new approaches
About you:
Preferred advanced degree in relevant STEM field (Economics, Mathematics, Operations Research, Applied Statistics) or equivalent experience
Ability to use a programming language like R or Python to work efficiently with large datasets
Proficiency with SQL languages and other similar tools
Experience with exploratory data analysis, statistical testing, and model development
5+ years of applied marketplace, pricing, yield management, or similar experience
Bonus points for experience modeling network graphs, designing for antifragility, or MCMC simulation
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Data Scientist | Follow Up Boss |
As a Data Scientist at Follow Up Boss, you'll help answer key questions for the product and business. You'll collect, explore, and perform quantitative analysis on our data to generate insights and findings for our product and business. You'll develop and code automated processes to clean and evaluate large datasets from multiple disparate sources. You'll help improve the tooling and technologies we use to gain insights from our data. You'll collaborate closely with our product and management teams. Ultimately, your work will have direct impact on the value and user experience of our products.
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Senior Data Scientist | Fedex |
Company: FedEx ServicesJob Title: Senior Data ScientistJob Requisition Number: RC486996Category: Decision Science & AnalyticsPay Type: ExemptLocations:Remote, Tennessee 38120United States
Colorado Residents Only – Compensation: Monthly Salary $7545 - $12508The estimate displayed represents the typical salary range or starting rate of candidates hired in Colorado. Factors that may be used to determine your actual salary may include your specific skills, your work location, how many years of experience you have, and comparison to other employees already in this role. This information is provided to applicants in accordance to the Colorado Equal Pay for Equal Work Act.
Job Summary:
Provide expertise and leadership at the enterprise level related to vast quantities of data (including disparate data), enterprise analytics, statistical modeling, and initiatives.Leads staff in descriptive, predictive, prescriptive and ensemble modeling, advanced statistical techniques, use of database tools and/or other approaches in quantitative analysis of complex business situations.Creates and executes solutions from initial concept to fully tested production, and communicates results to a broad range of audiences.Advanced use of current and emerging technologies to evaluate trends and develop actionable insights and recommendations to management, via understanding of the business model and the information available for analysis.Uses data, statistical and quantitative analysis, explanatory and high complexity predictive modeling and fact based management to drive decision making.Mentors less senior staff.Leads cross functional teams.Routinely work on multiple highly complex assignments.Provides consultation to Sr. Leadership on a normal basis.
Minimum Qualifications:
Masters degree or equivalent in a quantitative discipline required.Five (5) years work experience in measurement and analysis, quantitative business problem solving, operations analysis, marketing analysis, simulation and/or predictive analytics.Superior analytical skills with diverse analytics and statistical software and applications.Excellent interpersonal skills, written, and oral communication skills.Proven leadership skills.
High Level Expectations:
Understand critical business logic, processes and systems used by Global Sales teams to organize their customer base and assign representationEffectively communicate, collaborate with Global Sales teams and provide timely solutions to problems in a fast-paced environmentLead multiple work streams with competing priorities to completion in a timely manner with limited supervision
Abilities/Knowledge/Skills Considered a Plus:
Statistical Analysis & Evaluation
Develops experimental design approaches to validate finding(s) or test hypotheses.Identifies/creates the appropriate algorithm to discover patterns.Gathers relevant information, identifies relationships, deduces from cause to effect, and draws logical conclusions.Finds patterns in the data and finding correlation in related or unrelated variables.Works in iterative processes with the customer/business partner and validates findings.Establishes scalable, efficient, processes for model development, model validation, model implementation and large-scale data analysis.Develops innovative and effective approaches to solve analytical problems and communicates results and methodologies.Develop metrics that can be used to drive business decisions.
Presentation/Strategic Recommendations
Story telling/presenting with data insights and actionable recommendations.Helps the business understand the scientific principles behind their process in order to gain stakeholder buy-in.Provides updates and analytical presentations to stakeholders across the enterprise.Work with business users to assist and teach tools and techniques to the teams while partnering with the business users to solve their business problems.Provides thought leadership and dependable execution on diverse projects.Identifies emergent trends and opportunities for future business growth and development.
Domicile: This position will be domiciled in any US based location.
Remote Work: The ability to work remotely within the United States may be available based on business need.
Application Criteria: To be considered, please upload a copy of your current resume to include beginning and ending dates for each employer/position and answer job screening questionnaire
Employee Benefits: Medical, dental, and vision insurance; paid Life and AD&D insurance; tuition reimbursement; paid sick leave; paid parental leave, paid vacation, and additional paid time off; geographic pay ranges; 401K with Company match and incentive bonus potential; sales incentive compensation for selling roles.
FedEx. Where now meets next.
Our vision is to be the earth's most engaged advocates of connected commerce where open borders, new markets and fair, sustainable practices are the norm for the billions of personal supply chains being managed every day in our always on, mobile-first world. We stand for ease, access and opportunity. We lead purposeful innovation, champion entrepreneurs, advocate free trade and empower humans and their place in the era of autonomy and AI. We fight for our customers, a more sustainable planet and an ethical playing field.
FedEx inspires its more than 570,000 team members to remain focused on safety, the highest ethical and professional standards and the needs of their customers and communities. FedEx is committed to connecting people and possibilities around the world responsibly and resourcefully, with a goal to achieve carbon-neutral operations by 2040.
FedEx has been recognized on many different lists both for business success and for being a great employer:
Fortune "World’s Most Admired Companies" – 2021Forbes "Best Employers for Diversity" - 2021LinkedIn "Top 100 Companies" - 2021TIME "100 Most Influential Companies" - 2021World HRD Congress "Best Gender Equality Workplace" – 2021InsiderPro ComputerWorld "Best Places to Work for IT" – 2021
Application Instructions/Deadline:
Upload current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire by close of business (5:00pm CST) on the date below. If the date below is blank, there is no specified closing date for this requisition.03-11-2022
FedEx Services is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, genetics disability, or protected Veteran status.
FedEx Services does not discriminate against qualified individuals with disabilities in regard to job application procedures, hiring, and other terms and conditions of employment. Further, FedEx Services is prepared to make reasonable accommodations for the known physical or mental limitations of an otherwise qualified applicant or employee to enable the applicant or employee to be considered for the desired position, to perform the essential functions of the position in question, or to enjoy equal benefits and privileges of employment as are enjoyed by other similarly situated employees without disabilities, unless the accommodation will impose an undue hardship. If a reasonable accommodation is needed, please contact [email protected].
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Data Scientist Advisor Dataworks | Fedex |
Company: FedEx ServicesJob Title: Data Scientist Advisor - Dataworks - RemoteJob Requisition Number: RC487867Category: Decision Science & AnalyticsPay Type: ExemptLocations:Remote, Tennessee 38120United States
Colorado Residents Only – Compensation: Monthly Salary $8130.79 - $13480.12The estimate displayed represents the typical salary range or starting rate of candidates hired in Colorado. Factors that may be used to determine your actual salary may include your specific skills, your work location, how many years of experience you have, and comparison to other employees already in this role. This information is provided to applicants in accordance to the Colorado Equal Pay for Equal Work Act.
Summary:Takes ownership and responsibility over major data science initiatives. Advances Dataworks’ broad capabilities to use and deploy cutting edge data science and machine learning tools and methods in Dataworks projects, platforms and products. Simultaneously works to keep Dataworks on the bleeding edge by understanding and implementing the very latest and most sophisticated methods and tools for grappling with extremely large scale and complex problems. Leads modeling and development to support operations initiatives, strategic programs and new products/solutions, through the use of advanced descriptive, diagnostic, predictive, prescriptive and ensemble modeling, advanced statistical techniques, and complex mathematical modeling/tool development. Develops solutions supporting the movement of data and information assets following API-First / Service-Oriented Architecture principles. Leverages proficiency in ML Ops, CI/CD processes and machine learning / data engineering practices to ensure sustainable model development and provide recommendations on highly complex problems. Mentors less senior team members to drive results. Leads and works with cross-functional teams.The Data Scientist Advisor plays a pivotal role, focused on creating and driving data science innovation within Dataworks, helping define and build the Dataworks organization, and enabling the delivery of key business initiatives. S/he acts as a “universal translator” between IT, business, software engineers and data engineers, collaborating with these multi-disciplinary teams. The Data Scientist Advisor will contribute to the creation and adherence of technical standards for data science and machine learning, including the design and construction of reusable data assets. S/he will work with large data sets and solve difficult analytical problems, applying advanced methods. S/he will lead the creation and implementation of solutions from concept to production, using current and emerging technologies to evaluate trends and develop actionable insights and recommendations. Day-to-day, s/he will be deeply involved in code reviews and large-scale deployments. S/he will also provide mentorship and guidance to junior data scientists to support the continued training and up-skilling of the Data Science team.Essential Job Duties & Responsibilities:
Understanding in depth both the business and technical problems Dataworks aims to solveExploring data and crafting models to answer core business problems that may not have a common blueprintLeading the invention of new approaches and algorithms for tackling data intensive problemsPioneering R&D efforts to rapidly understand and assimilate state of the art methodsScaling up from “laptop-scale” to “cluster scale” problems by leading efforts to standardize and industrialize solutionsDelivering tangible value very rapidly, collaborating with diverse teams of varying disciplinesInteracting with senior technologists from the broader enterprise and outside of FedEx (partner ecosystems and customers) to create synergies and identify opportunities for improvementCodifying best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases
Skill/Knowledge Considered a Plus:
Technical background in computer science, data science, machine learning, artificial intelligence, statistics or other quantitative and computational scienceA compelling track record of Data Science / Engineer expertise, designing and deploying large scale technical solutions, which deliver tangible, ongoing value
Direct experience having built and deployed robust, complex production systems through Cloud technologies that implement modern, data scientific methods at scaleAbility to context-switch, to provide support to dispersed teams which may need an “expert hacker” to unblock an especially challenging technical obstacleDemonstrated ability to deliver technical projects with a team, often working under tight time constraints to deliver valueAn ‘engineering’ mindset, willing to make rapid, pragmatic decisions to improve performance, accelerate progress or magnify impactAbility to work with distributed teams on code-based deliverables using version control
Solid theoretical grounding in the mathematical core of the major ideas in data scienceExpert level understanding of a class of modelling or analytical techniques, often supported by Masters- or Doctoral-level research in the subjectDeep fluency in the mathematical ‘primitives’ and generalizations of data science – e.g., expertise in Linear Algebra, and Vector CalculusUse of agile and devops practices for project and software management including CI/CD; process improvement and quality management experience (e.g., Lean, Six Sigma, QDM expert)Demonstrated expertise in working with some of the following common languages and tools:SKLearn, XGBoost, Tensorflow, Pytorch, MLlib and other core ML frameworksPython, Scala, R, C++, Java and other modern programming languagesMLFlow, Databricks, Spark, Kafka, Hive, Hadoop and other data tools and frameworksCPLEX, Gurobi and other similar optimization modeling packagesCPLEX, Gurobi and other similar optimization modeling packages
Minimum Qualifications:Master’s Degree or equivalent in computer science, operations research, statistics, applied mathematics or related quantitative discipline. Directly related PhD preferred. Six (6) years’ work experience in applying data science (machine learning, artificial intelligence, statistical analysis), operations research (optimization, algorithms, mathematical modeling), and data analytics modeling to decrease cost, increase profitability, and improve customer experience. Extensive knowledge in advanced data science, statistical analysis, and machine learning methods, including the iterative development of analysis pipelines to provide insights at scale. Extensive experience conducting end-to-end analyses, including data gathering and requirements specification, processing, analysis and presentation. Strong familiarity with the transportation industry, competitors, and evolving technologies. Experience providing leadership in a general planning or consulting setting. Experience as a leader or a senior member of multi-functional project teams. Strong human relations, organizational / time management, project management, and software development skills. Excellent interpersonal skills and the ability to present and communicate effectively to executive audiences.
Domicile / Relocation Information:This position can be domiciled anywhere in the United States.The ability to work remotely within the United States may be available based on business need.Relocation assistance may be available based on business need.
Application Criteria / Deadline:Upload current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire by 5 pm Central Time, Thursday, March 10, 2022.
Employee Benefits: Medical, Dental, and Vision Insurance; Paid Life and AD&D insurance; Tuition Reimbursement; Paid Sick Leave; Paid Parental Leave, Paid Vacation, Paid Military Leave, and additional Paid Time Off; Geographic Pay Ranges; 401k with Company match and incentive bonus potential; Sales Incentive Compensation for selling roles.
Employee Benefits: Medical, dental, and vision insurance; paid Life and AD&D insurance; tuition reimbursement; paid sick leave; paid parental leave, paid vacation, and additional paid time off; geographic pay ranges; 401K with Company match and incentive bonus potential; sales incentive compensation for selling roles.
FedEx. Where now meets next.
Our vision is to be the earth's most engaged advocates of connected commerce where open borders, new markets and fair, sustainable practices are the norm for the billions of personal supply chains being managed every day in our always on, mobile-first world. We stand for ease, access and opportunity. We lead purposeful innovation, champion entrepreneurs, advocate free trade and empower humans and their place in the era of autonomy and AI. We fight for our customers, a more sustainable planet and an ethical playing field.
FedEx inspires its more than 570,000 team members to remain focused on safety, the highest ethical and professional standards and the needs of their customers and communities. FedEx is committed to connecting people and possibilities around the world responsibly and resourcefully, with a goal to achieve carbon-neutral operations by 2040.
FedEx has been recognized on many different lists both for business success and for being a great employer:
Fortune "World’s Most Admired Companies" – 2021Forbes "Best Employers for Diversity" - 2021LinkedIn "Top 100 Companies" - 2021TIME "100 Most Influential Companies" - 2021World HRD Congress "Best Gender Equality Workplace" – 2021InsiderPro ComputerWorld "Best Places to Work for IT" – 2021
Application Instructions/Deadline:
Upload current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire by close of business (5:00pm CST) on the date below. If the date below is blank, there is no specified closing date for this requisition.03-11-2022
FedEx Services is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, genetics disability, or protected Veteran status.
FedEx Services does not discriminate against qualified individuals with disabilities in regard to job application procedures, hiring, and other terms and conditions of employment. Further, FedEx Services is prepared to make reasonable accommodations for the known physical or mental limitations of an otherwise qualified applicant or employee to enable the applicant or employee to be considered for the desired position, to perform the essential functions of the position in question, or to enjoy equal benefits and privileges of employment as are enjoyed by other similarly situated employees without disabilities, unless the accommodation will impose an undue hardship. If a reasonable accommodation is needed, please contact [email protected].
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Senior Data Scientist Product | Divvy |
About the company
At Divvy, Our vision is to become the modern software bank for business of every small-to-medium business in America. Our FREE financial SaaS platform enables businesses to spend smarter by providing instant insight and transparency into company-wide spend and the ability to easily manage it; all in real-time! (+ many more features!)
In June 2021, Divvy joined forces with Bill.com through a $2.5 billion dollar acquisition, validating our mission to build the one-stop-shop for business finances. With 500+ mission-driven employees and extreme monthly growth, we’re well on our way.
*Certain positions at Divvy are eligible for remote work - within the United States*
About The Position
We are investing heavily in machine learning at Divvy. Next year, we are increasing the number of data scientists working on our cross-functional development teams and also the infrastructure needed to continuously deliver machine learning models that improve the experience of using Divvy. You will have the opportunity to help architect our machine learning infrastructure and work with product managers to identify analytical areas of growth, create customer-facing machine learning models, and show that value with A/B testing.
Additionally, team members collaborate with Product leadership to identify high-impact opportunities, define analytical roadmaps, and help drive toward those opportunities.
What You'll Be Doing
Designing, implementing and delivering machine learning models in a production AWS environment to enhance our application (using Python’s machine learning libraries, SageMaker, Kafka, SeldonCore, Snowflake, Git, GitLab CI/CD, Splunk, etc.)
Apply your expertise in deep learning, quantitative analysis, data mining, and the presentation of data to see beyond the numbers to increase revenue and improve our competitive position
Partner with Product and Engineering teams to solve problems and identify trends and opportunities with machine learning
Inform, influence, support, and execute our product decisions and product launches
Qualifications
You have 5+ years of experience in a Data Science role solving high-impact business problems and a demonstrated track-record of high-impact projects in production
You have a Master’s degree in a quantitative or technical field (Statistics, Computer Science, etc.)
You have strong programming skills (Python or similar)
You have experience working with Product leaders and technical decision-making (A/B testing, project prioritization, development, and monitoring)
You have experience translating and presenting technical results to non-technical stakeholders and senior leadership
You are a creative problem-solver, who proactively finds and identifies simple solutions to challenging, open-ended problems
Bonus Points
You have a doctorate degree in a quantitative or technical field (Statistics, Computer Science, etc.)
You have experience working as a Data Scientist at a technology or fin-tech company
You have led model development/deployments with AWS Sage-maker and other AWS services
You have managed a team of Scientists and Analysts
Total rewards
At Divvy, we’ve been intentional in designing scalable benefits, rewards, and perks that meet our workforce where they are while managing expectations as we scale. Just as pay parity was foundational for us in base salary, and remains our commitment and priority, our total rewards programs reflect our commitment to inclusivity and access for all.
At Divvy, you’ll enjoy:
- 100% paid employee health, dental, and vision insurance - choose between HMO, PPO, and HDHP plans
- HSA & FSA accounts w/ HSA Company Contribution
- Unlimited PTO for Salaried, Exempt employees / Accrued PTO for Hourly, Nonexempt employees
- 401k w/ Fidelity
- 12 weeks Parental Leave Program administered by Matrix for birth, non-birth, and adoptive parents (paid coordinating with any state and our Short-Term Disability insurance where applicable).
- 11+ Observed holidays and wellness days
- Wellness & Fitness initiatives
- Access to the Calm App. - a sleep, meditation and relaxation app free of charge
- Your own Divvy credit card (Divvy Uses Divvy or DuD)with $100 given every month to use on anything you want!
- Employee Stock Purchase Program: employees will be able to purchase Bill.com stock at a discount.
Perks are nice, but perks don’t make a company or individual successful - the work does. At Divvy, we’re building the financial nervous system of business - faster, better, smarter, and the work compels us to show up each day for our customers and our teams while feeling well supported in our benefits.
**We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.**
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Data Scientist | Recurrency |
Recurrency is building the automated enterprise. Our product is the world's first enterprise optimization system (EOS), a machine learning application that integrates with legacy enterprise resource planners (ERP) like SAP, Oracle, Microsoft Dynamics, or Epicor, and provides the user with the flows and recommendations on how to better buy, manage, price, and sell their inventory. Our customers are wholesalers and distributors, ranging from family-owned companies to the Fortune 500.
Despite being a multi-trillion dollar industry, wholesale distribution has a striking lack of software to support even basic operations, with most ERPs relying on decades-old architecture. Founded in Los Angeles and supporting a fully-remote team across the US, we are a well-funded Series A-stage startup, backed by some of the most successful VCs in the world.
As a Data Scientist, you will leverage existing knowledge in Machine Learning and Big Data to build and deploy the models that drive key business insight for our customers. As one of the founding members of our team, you'll be engineering the next-generation data science features for the world-wide supply chain. Our team does it all - and you will be a core contributor - designing, testing, and deploying a system of bleeding edge Machine Learning models, preparing data and engineering features, tracking metrics, maintaining the health of our code, and continually growing as an engineer and researcher. The ideal candidate is both forward-thinking and hands-on, has a strong sense of ownership and drive for delivery, and is a good mentor and co-worker. At Recurrency, we pride ourselves on the collaboration between Product, Design, and Engineering and so you have the opportunity to be involved in the entire product lifecycle, from ideation through building, deploying, and continual improvement and evolution.
What you will own:
Develop forecasting, recommendation, and pricing models to improve the quality of wholesale distribution systems.
Feature engineering and data pipeline design.
Metrics building and monitoring.
Work with our Engineers and Product team to build and improve efficient data products.
What you will bring on Day 1:
MS or PhD in Data Science, Computer Science, Math or related field.
3+ years research experience in Machine Learning.
Knowledge in forecasting, recommendation, or pricing is a plus.
1+ years in a Data Science, Machine Learning or related role.
Fluency in Python and PyTorch.
Previous experience with databases (Postgres or MongoDB) and Cloud technology stacks (AWS, etc).
Foundation in data structures, algorithms, and software design with strong analytical and debugging skills.
Strong interpersonal, communication, and collaboration skills with great problem solving abilities.
A desire to be part of a diverse and growing team.
Nice-to-haves, which we're sure you'll pick up along the way:
Experience with Docker, Airflow, ECS
#LI-Remote
Recurrency is a fully-remote team, with team members located throughout the US. While it will never be a requirement, there is a high likelihood that we will eventually develop a bi-coastal office presence, centered around Los Angeles & NYC, for those who prefer in-person to remote work.
Recurrency celebrates and embraces diversity and is committed to building a team that represents a variety of experiences, backgrounds, and skills. We do not discriminate on the basis of race, color, religion, marital status, age, gender identity, gender expression, sexual orientation, non-disqualifying physical or mental disability, national origin, veteran status, or other applicable legally protected characteristics.
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Senior Data Scientist | Smartasset |
About you:
As a Senior Data Scientist you will lead the development and the deployment of machine learning models that will drive business decisions, with a focus on model monitoring. You will mentor junior data scientists, and lead the data team expansion and adoption of good practices.You will utilize your strong problem-solving skills, computational experience, and business analytics to solve real-world problems at scale. You will design and implement a variety of data products to support and drive business operations. You will cooperate with other business leaders from different teams (Sales, Marketing, Product, and Technology).
Required Skills and Experience:
Proficient in Python and SQL
Strong data visualization and analysis skills (pandas, numpy, matplotlib, scikit learn, tensorflow, etc)
Professional experience with the development and deployment of predictive models, with an emphasis on time series and categorization models.
Professional habits around model validation, testing, and tracking
Knowledgeable of best practices such as version control (git), documentation, environments, unit tests, containerization, and task scheduling
Experience with statistical techniques and their applications in a business environment
An investigative journalist-type approach when it comes to getting answers to a problem
Comfort with cross-team collaboration and communicating technical ideas to a non-technical audience
Strong quantitative background, having either been a graduate of a data science bootcamp, or the holder of an undergraduate or graduate degree in data science, statistics, mathematics, physics, econometrics, or another related quantitative field
5 years of relevant working experience
Preferred Skills and Experience:
Experience with ML services like AWS Sagemaker, DataBrew, Feature Store
Experience with prototype-to-production model development
Experience with model monitoring (drift / performance…)
Comfortable in working on the line between data science and data engineering
Perks:
Remote-first work environment (within the continental United States)
Virtual happy hours and team social activities
Generous benefits package with cost of some medical and dental plans covered at 100%
401(k) plan with match that immediately vests
Professional education reimbursement program
Paid Parental Leave
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Data Scientist | Smartasset |
About you:
As a Data Scientist you will develop and deploy machine learning models that will drive business decisions and improve user experience. You will utilize your strong problem-solving skills, programming know-how, and business analytics to solve real-world problems at scale. You will access and analyze a variety of data to perform descriptive, predictive and prescriptive analytics, working closely with stakeholders from different teams (Sales, Marketing, Product, and Technology). You will be responsible for creating stable models that will run in a production environment.The candidate will have a quantitative background, and past experience working collaboratively with business partners to deliver impactful data products.
Required Skills and Experience:
Proficient in Python and SQL
Strong data visualization and analysis skills (pandas, numpy, matplotlib, scikit learn, tensorflow, etc)
Working experience with the development and deployment of predictive models, with an emphasis on time series and categorization models.
Strong statistical foundation
Skilled in cross-team collaboration and in communicating technical ideas to a non-technical audience
Experience with model development/deployment best practices (documentation, git, environments, unit tests...)
An investigative journalist-type approach when it comes to getting answers to a problem
Strong quantitative background, having either been a graduate of a data science bootcamp, or the holder of an undergraduate or graduate degree in data science, statistics, mathematics, physics, econometrics, or another related quantitative field
3 years of relevant working experience
Preferred Skills and Experience:
Experience with ML services like AWS Sagemaker, DataBrew, Feature Store
Experience in model deployment, and model monitoring (drift, performance, etc.)
Experience with prototype-to-production code development
Experience in working closely with data engineers
Perks:
Remote-first work environment (within the continental United States)
Virtual happy hours and team social activities
Generous benefits package with cost of some medical and dental plans covered at 100%
401(k) plan with match that immediately vests
Professional education reimbursement program
Paid Parental Leave
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Junior Data Scientist | Smartasset |
About you:
As a Junior Data Scientist you will contribute to the development and the deployment of machine learning models that will drive business decisions and improve user experience. You will utilize problem-solving skills, programming know-how, and business analytics to solve real-world problems at scale. You will access and analyze a variety of data to perform descriptive, predictive and prescriptive analytics, and you will communicate findings to different stakeholders.In addition to building solutions, you must possess the aptitude and hunger to learn.
Required Skills and Experience:
Proficient in Python and SQL
Data analysis and data visualization skills (pandas, numpy, matplotlib, scikit learn, etc.)
Experience in building and iterating on predictive models (time series, classification, clustering...)
Strong statistical foundation
An investigative journalist-type approach when it comes to getting answers to a problem
Comfort with cross-team collaboration and communicating technical ideas to a non-technical audience
Strong quantitative background (having either been a graduate of a data science bootcamp, or the holder of an undergraduate or graduate degree in data science, statistics, mathematics, physics, econometrics, or another related quantitative field)
One year of Data Science related experience
Preferred Skills and Experience:
Experience with time series modeling
Experience building pipelines and dashboards
Experience in model deployment and model monitoring (drift / performance)
Experience with best practices such as version control tools (git), proper documentation, library packaging, versioning, testing
Perks:
Remote-first work environment (within the continental United States)
Virtual happy hours and team social activities
Generous benefits package with cost of some medical and dental plans covered at 100%
401(k) plan with match that immediately vests
Professional education reimbursement program
Paid Parental Leave
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Data Scientist Machine Learning | Quizlet |
About Quizlet:
Inspired by our belief that anyone can learn anything and powered by our own curiosity, we build the smartest tools we can imagine to help students learn.
Quizlet is the popular, global learning platform and app that millions of students, teachers and everyday people use to study any subject imaginable for school, work or as part of their personal interests -- including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals. We’re on track to become the undisputed leader in user-generated learning content and engagement, at the scale of YouTube.
Valued at $1 billion, Quizlet has raised over $60 million in venture capital from investors including Icon Ventures, Union Square Ventures, General Atlantic, Costanoa Ventures, Owl Ventures, and Altos Ventures.
To serve our global community of learners, our teams tackle lofty technical challenges and design for use cases across cultures and languages. We work hard, act like owners, and collaborate every chance we get. We’re energized by the potential to power more learners through multiple approaches and various tools.
With offices in major cities around the world and ambitious plans for expansion, we remain grounded in our commitment to our mission of helping people learn. We’re looking for new team members who crave a challenge and want to help us continue amplifying our impact.
About the Team:
Quizlet’s Machine Learning is core to Quizlet’s vision in being an AI tutor for everyone. We inspire, validate, build, and continuously improve ML/AI products to scale learning. Some things we’ve worked on include personalized learning experiences by modeling how students learn, smart assessment, and understanding our vast UGC study content (e.g. with subject classification). We make use of our unique data of billions of study interactions (per week!), learning science, diverse domain expertise, and many kinds of ML algorithms.
About the Role:
As an ML Data Scientist working on ads, you will be working with other data scientists, product managers, product, engineering, and sales to build an amazing ads product for our advertisers and users.
In this role, you will:
Help improve and expand our ads product offering by using various ML techniques
Understand model stability and sources of volatility, and propose solutions for these
Leverage data to inform the right business decision, such as designing how to evaluate model updates and whether they should be launched
Implement solutions in production: writing production tables / services or directly improving our audience definitions
What you bring to the table:
You are enthusiastic to learn (and teach) new technologies, machine learning techniques, and keep up with advancements in the AdTech industry
Experience answering big picture questions by framing the business question into an analytical plan that can be communicate to stakeholders
Proficiency in Python and SQL, with knowledge of good engineering practices and an ability to learn new languages quickly
Solid understanding of various ML models, NLP, and optimization techniques
Genuine interests in going deep into the data to understand the stories and build theory and actionable insight from it
You are a compassionate team player and you see your growth and success entangled with the growth and success of your peers
Bonus points if you have:
Experience working in AdTech
Compensation, Benefits & Perks:
Colorado candidates: Base pay for this role starts at $99,000. The actual pay may be higher depending on your skills, qualifications, and experience
[This role is eligible for commission payments (if applicable)]
Collaborate with your manager and team to create a healthy work-life balance
20 vacation days (and we expect you to take them!); 10 paid holidays plus additional days off in 2022 due to Covid
Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, HMO, VSP Choice)
Employer-sponsored 401k plan with company match
Professional Development stipend (teach yourself something new)
Paid Family Leave, FSA, HSA, Commuter benefits, Wellness benefits
40 hours of annual paid time off to participate in volunteer programs of choice
Employees are eligible to participate in the Quizlet stock option program
We strive to make everyone feel comfortable and welcome!
We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership.
We provide a transparent setting, that gives a comprehensive view of who we are!
In Closing:
We hope you are excited about everything you read so far. We highly encourage you to apply for this position, even if you feel you do not meet all the requirements. Quizlet is always looking for amazing folks that believe in our mission and can contribute to our team in various ways - not merely candidates that fit a certain mold.
We have a bias for action, take initiative, and hustle to deliver results. We make informed decisions whenever possible but are unafraid to take calculated risks on great ideas to promote learning. We embrace challenges and see effort as the path to mastery. We’re constantly seeking opportunities to learn and we embrace curiosity. Quality matters at Quizlet, and we hold the bar high on everything we do.
We treat each other with honesty and respect, encourage vigorous debate, and seek critical feedback. We value diversity, humility, transparency, and collaboration as the best paths to our success — as individuals, as a team, and as a company.
Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. We are actively working to build a team that is representative of the diverse communities we serve, and an open, inclusive work environment where all employees can thrive. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us!
To All Recruiters and Placement Agencies:
At this time Quizlet does not accept unsolicited agency resumes and/or profiles.
Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.
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Senior Data Scientist Data Products | Wealthsimple |
Wealthsimple is on a mission to help everyone achieve financial freedom, no matter who they are or how much they have. Using smart technology, Wealthsimple takes financial services that are often confusing, opaque and expensive and makes them simple, transparent, and low-cost. We're the company behind some of Canada's leading digital financial products, and are growing faster than ever.
Our team is reimagining what it means to manage your money. Smart, high-performing team members will challenge you to learn and grow every day. We value great work and great ideas — not ego. We're looking for talented people who love a fast-paced environment, and want to ship often and make an impact with groundbreaking ideas.
We’re a remote-first team and output is more important than face time, so where you choose to work is up to you — as long as you have internet access, you can work from anywhere in Canada. Be a part of our Canadian success story and help shape the financial future of millions — join us! Read our Culture Manual and learn more about how we work.
At Wealthsimple, we are building products for a diverse world and we need a diverse team to do that successfully. We strongly encourage applications from everyone regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Wealthsimple provides an accessible candidate experience. If you need any accommodations or adjustments throughout the interview process and beyond, please let us know.
Data Science & Engineering
The Data Science & Engineering (DSE) team consists of data scientists and software engineers with diverse educational backgrounds such as math, operations research, economics, computer science, engineering and business. The team is responsible for enabling data-driven decision making and building data products at Wealthsimple. We achieve these goals by:
Building a high quality and scalable state-of-the-art data warehouse that powers all decision making
Leveraging machine learning and algorithms to help Wealthsimple build smarter financial products
Using decision science to understand the cause and effect of our business decisions
The Role - Data Products Team
We are building a multi-product company with a growing offering including Invest, Cash, Crypto, Trade and Tax products.
As a Data Scientist on the Data Products team, you will play a pivotal role in our mission to discover and deploy sustainable machine learning solutions to opportunities that exist across the organization. As such, you will work closely with the area owners along with a cross functional team consisting of full stack developers, product managers and operation specialists to unlock delightful product experiences and improve our operational efficiency.
We are looking for a senior data scientist with strong foundations in Python programming, fundamental understanding of machine learning algorithms, and preferably experience developing and deploying sustainable machine learning products into production.
Some projects include:
Developing a discovery feature to connect relevant content to clients looking to improve awareness and pertinent information for decision making (NLP, recommendation engine).
Enriching and later leveraging internal social graph to power referral, fraud and growth initiatives (Graph embeddings, ranking)
Launching long-term projects involving OCR to streamline identity verification and manual operational actions
Improving existing Machine Learning models for enhancing the client onboarding experience
In this role, you will:
Love data to make better decisions
Build stakeholder relationships to identify high impact opportunities which can be solved using machine learning
Believe that simple is better, Occam's razor is your friend
Take ownership and ship it
You release incrementally and iteratively
Get the best out of the team by leveraging their diverse educational backgrounds
Teach and learn from their teammates. We value making others successful
We are looking for people who have:
Excellent Python & SQL skills. Candidate should be an expert with OOP and complex data manipulation
Strong understanding of fundamental machine-learning algorithms - how they work, when to use them, strengths, limitations, implementations: linear / logistic model, SVM, KNN, tree-based models, k-means, word2vec, graph embeddings, etc.
Demonstrate knowledge in fundamentals of deep learning: initialization, backpropagation & gradient flow, optimization methods, etc. as well as familiarity with state-of-the-art architectures in DL domains
Strong understanding of statistics: both frequentist and Bayesian approaches
Excellent communicator
At least 3 years of first hand experience working with popular Python libraries such as pandas, scikit-learn, numpy, matplotlib
Expertise with deep learning frameworks like TensorFlow or PyTorch. It would be great if you have experience working with model hubs like tfhub or huggingface as well
Bonus points for hands-on experience with MLFlow, Apache Airflow, and a BI tool like Periscope, Mode Analytics or Tableau. Web development skills also appreciated
Bonus points for personal projects / research demonstrating candidate’s skills and domain knowledge
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Director Of Data Science | Vidmob |
VidMob is an award-winning Intelligent Creative Platform that provides an end-to-end technology solution for all a brand’s creative needs. It is an integrated platform combining first-of-a-kind creative analytics with best-in-class creative production to understand and improve marketing effectiveness.
We seek candidates that are curious, collaborative and committed to excellence. We take every hire seriously and only choose seriously talented team members. We care deeply about our employees and are dedicated to making VidMob an exceptional company to work for. VidMob is proud to offer comprehensive health plans paid for by the company, enhanced Maternity/Paternity Programs and unlimited vacation plans. We also provide employees with access to 401K plans, healthy food and snacks, and pre-taxed transit.
Responsibilities
Lead, manage & mentor a team of junior and mid-level Data Scientists.
Apply your expertise in quantitative analysis, machine learning, data mining, and data visualization to create an understanding of relationships between creative characteristics and ad performance data
Capture business requirements for data and analytic solutions and collaborate cross-functionally to ensure requirements align with business needs
Work with product management teams to develop data & machine learning roadmap and with data engineering teams to identify and implement data pipelines and tools to ensure efficient and seamless execution
Work with product management teams and community management teams to fully instrument VidMob’s “services-in-the-loop” approach (for creative decision, strategic insights and more) in order to accelerate model development for insights and creative optimization
Lead the development of our predictive algorithms across a number of different areas all with the aim of better understanding our customers and our business
Iterate on existing and prototype new algorithms and work with engineering to integrate into our production code base
Surface and analyze outputs from computer vision, optical character recognition (OCR) and machine learning
Partner in the creation of technology, dashboards and user interfaces available to clients for understanding creative performance
Institute quality control and ethical guidelines for algorithms, code, and outputs
Work closely with our cloud partners to adopt AutoML solutions allowing our internal resources to focus on market differentiating work.
Qualifications
7+ years of experience in data science and machine learning
3+ years of experience leading a team of data scientists, including mentorship, support, and performance management
Proven track record of delivering on practical research endeavors
Strong knowledge of machine learning algorithms (supervised and unsupervised learning) and advanced statistics (time series forecasting, clustering algorithms, probabilistic models)
Client centricity - an obsession with the client and ability to empathize; a natural bias towards taking a client-centric lens in how we frame, approach, and ultimately solve every problem the team works on
Creativity - you believe data exploration and analysis is an inherently creative endeavor, and you have a knack of solving problems in non-linear ways utilizing all resources available to you
Curiosity and Forward Thinking - a natural and persistent inclination to explore, discover, and learn, and a general fascination with analytics. The drive to go beyond asking “what?” to ask “why?”; a commitment to digging beneath the surface and interrogating information versus accepting it at face value.
Experience dealing with large and disparate data sets and analytics tools
Experience working in Computer Vision, NLP and regression modeling
Experience with AWS AI/ML ecosystem and big data processing technologies (Redshift, Big Query)
Experience with the full ML lifecycle, including research, development, deployment, and iteration on ML models using tools such as Sagemaker or MLFlow
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Data Science Manager Finance | Coinbase |
We’re Coinbase. We’re the world’s most trusted way to join the crypto revolution, serving more than 89 million accounts in more than 100 countries.
Our mission is to increase economic freedom around the world, and we couldn’t do this without hiring the best people. We’re a group of hard-working overachievers who are deeply focused on building the future of finance and Web 3.0 for our users across the globe, whether they’re trading, storing, staking or using crypto. Know those people who always lead the group project? That’s us.
There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for candidates who will thrive in a culture like ours, where we default to trust, embrace feedback, and disrupt ourselves. Second, we expect all employees to commit to our mission-focused approach to our work. Finally, we seek people who are excited to learn about and live crypto, because those are the folks who enjoy the intense moments in our sprint and recharge work culture. We’re a remote-first company looking to hire the absolute best talent all over the world.
Ready to #LiveCrypto? Who you are:
You’ve got positive energy. You’re optimistic about the future and determined to get there.
You’re never tired of learning. You want to be a pro in bleeding edge tech like DeFi, NFTs, DAOs, and Web 3.0.
You appreciate direct communication. You’re both an active communicator and an eager listener - because let’s face it, you can’t have one without the other. You’re cool with candid feedback and see every setback as an opportunity to grow.
You can pivot on the fly. Crypto is constantly evolving, so our priorities do, too. What you worked on last month may not be what you work on today, and that excites you. You’re not looking for a boring job.
You have a “can do” attitude. Our teams create high-quality work on quick timelines. Owning a problem doesn’t scare you, but rather empowers you to take 100% responsibility for achieving our mission.
You want to be part of a winning team. We’re stronger together, and you’re a person who embraces being pushed out of your comfort zone.
You’ll spend most of your time collaborating closely with business partners in accounting, product, engineering, finance and data science teams — to ensure we’re supporting the biggest business opportunities. You’ll spend your time leading a team of Data Scientists building models and systems that help scale our data deliverables. We expect you to demonstrate clear communication, strong desire to execute and best-in-class craftsmanship. You will drive large scale projects and manage complex and time sensitive deliverables.
What you’ll be doing (ie. job duties):
Manage a team of data scientists partnering with a cross functional team of engineers, designers and product managers who are building and improving Coinbase’s core trading features
Help set goals and metrics to guide and prioritize product roadmaps
Design experiments to measure the impact of new product features
Scale data-informed decision making through ETLs and reporting dashboards created by your team
Identify opportunities to help inform the strategic direction of our fast growing business
Guide data scientists in their technical and professional development
Work closely with recruiting and other data team managers to help grow the team
What we look for in you (ie. job requirements):
3+ years of experience in managing other team members in a formal or informal capacity
5+ years of experience doing quantitative analysis at a technology company,
Proficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python)
Demonstrated ability to distill insights into strong product recommendations and utilize experimentation to test any data-led hypotheses
Experience communicating the results of analyses to leadership teams to influence the vision and roadmap of the company
Sounds Cool? Let's work together.
Notice for Colorado applicants as required by sb19-085 (8-5-20). Target annual salary for this role performed in Colorado is either $140,250 or $175,100 + target bonus + target equity + benefits (including medical, dental, vision and 401(k)).
*The exact compensation at which this job is filled will be determined by the skills and experience of qualified candidates.
(G1873)
Please note that for employees based in the US, Philippines, Canada or Singapore, if your role requires you to be present in a Coinbase office or if you choose to be physically present in a Coinbase office or sponsored location, participate in any in-person gathering (including offsites) or engage in business travel sponsored by Coinbase, you will be required to be fully vaccinated (as defined by applicable law). If you receive an offer, you will receive additional information about the grounds and process for an exemption.
Commitment to Equal Opportunity
Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view Pay Transparency, Employee Rights and Equal Employment Opportunity is the Law notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to accommodations[at]coinbase.com and let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here).
Global Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required.
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Senior Data Scientist Finance Data | Coinbase |
We’re Coinbase. We’re the world’s most trusted way to join the crypto revolution, serving more than 89 million accounts in more than 100 countries.
Our mission is to increase economic freedom around the world, and we couldn’t do this without hiring the best people. We’re a group of hard-working overachievers who are deeply focused on building the future of finance and Web 3.0 for our users across the globe, whether they’re trading, storing, staking or using crypto. Know those people who always lead the group project? That’s us.
There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for candidates who will thrive in a culture like ours, where we default to trust, embrace feedback, and disrupt ourselves. Second, we expect all employees to commit to our mission-focused approach to our work. Finally, we seek people who are excited to learn about and live crypto, because those are the folks who enjoy the intense moments in our sprint and recharge work culture. We’re a remote-first company looking to hire the absolute best talent all over the world.
Ready to #LiveCrypto? Who you are:
You’ve got positive energy. You’re optimistic about the future and determined to get there.
You’re never tired of learning. You want to be a pro in bleeding edge tech like DeFi, NFTs, DAOs, and Web 3.0.
You appreciate direct communication. You’re both an active communicator and an eager listener - because let’s face it, you can’t have one without the other. You’re cool with candid feedback and see every setback as an opportunity to grow.
You can pivot on the fly. Crypto is constantly evolving, so our priorities do, too. What you worked on last month may not be what you work on today, and that excites you. You’re not looking for a boring job.
You have a “can do” attitude. Our teams create high-quality work on quick timelines. Owning a problem doesn’t scare you, but rather empowers you to take 100% responsibility for achieving our mission.
You want to be part of a winning team. We’re stronger together, and you’re a person who embraces being pushed out of your comfort zone.
Blockchains are revolutionizing how financial data is shared and audited. As a Data Scientist within Finance Data, you will be at the heart of these innovations and collaborating closely with the Coinbase finance team, building finance data pipelines and tools that integrate traditional banking with the future of money.
You’ll spend most of your time collaborating closely with business partners in accounting, product, engineering, finance and data science teams — to ensure we’re supporting the biggest business opportunities. You’ll spend your time with the Data team building models and systems that help scale our data deliverables. We expect you to demonstrate clear communication, strong desire to execute and best-in-class craftsmanship.
What you’ll be doing (ie. job duties):
Identify data, metrics and analyses needs for business partners; Initiate, develop and maintain data pipelines and data models that power dashboards and data products with outstanding craftsmanship.
Work across multiple subject matter experts to drive new data initiatives, supporting new product launches, and building and automating reports
Establish best practices in implementation of data models, pipelines and reporting.
Act as a strategic partner to functional teams; initiate and execute on data projects to help prioritize opportunities and provide actionable recommendations
Collaborate with stakeholders in US and Japan to define requirements; design and scope project plans; execute, test and implement data and reporting solutions
Work with the broader Data team to find ways to scale our platform through better systems and automation.
Develop core metrics and management dashboards to track and understand them.
What we look for in you (ie. job requirements):
4+ years of relevant experience
Self starter, has the ability to multitask, and able to excel with minimal guidance
General experience working with data systems
Experience with data processing (ETL), SQL and Python programming language.
Strong understanding of key finance business processes (e.g. Accounting, Treasury processes) and products
Be able to independently create documentation for new data projects and requests and build collaboration within the team.
Demonstrate our core cultural values: clear communication, positive energy, continuous learning, act like an owner and efficient execution.
Highly collaborative, with an ability to optimally secure inputs from many cross-functional teams
Bachelor’s Degree in Computer Science or equivalent practical experience
Nice to haves:
Be able to proactively manage prioritization of work and deliver work with great quality and influence the broader team in creating leverage
Previous experience working with financial services data is a plus
Domain experience in Accounting and Finance areas
Experience with Looker, Tableau or other business intelligence platforms
Experience manipulating large amounts of structured and unstructured data.
Sounds Cool? Let's work together.
Notice for Colorado applicants as required by sb19-085 (8-5-20). Target annual salary for this role performed in Colorado is either $140,250 or $175,100 + target bonus + target equity + benefits (including medical, dental, vision and 401(k)).
*The exact compensation at which this job is filled will be determined by the skills and experience of qualified candidates.
(G2129)
Please note that for employees based in the US, Philippines, Canada or Singapore, if your role requires you to be present in a Coinbase office or if you choose to be physically present in a Coinbase office or sponsored location, participate in any in-person gathering (including offsites) or engage in business travel sponsored by Coinbase, you will be required to be fully vaccinated (as defined by applicable law). If you receive an offer, you will receive additional information about the grounds and process for an exemption.
Commitment to Equal Opportunity
Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view Pay Transparency, Employee Rights and Equal Employment Opportunity is the Law notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to accommodations[at]coinbase.com and let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here).
Global Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required.
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Senior Data Scientist Brand Marketing | Coinbase |
We’re Coinbase. We’re the world’s most trusted way to join the crypto revolution, serving more than 89 million accounts in more than 100 countries.
Our mission is to increase economic freedom around the world, and we couldn’t do this without hiring the best people. We’re a group of hard-working overachievers who are deeply focused on building the future of finance and Web 3.0 for our users across the globe, whether they’re trading, storing, staking or using crypto. Know those people who always lead the group project? That’s us.
There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for candidates who will thrive in a culture like ours, where we default to trust, embrace feedback, and disrupt ourselves. Second, we expect all employees to commit to our mission-focused approach to our work. Finally, we seek people who are excited to learn about and live crypto, because those are the folks who enjoy the intense moments in our sprint and recharge work culture. We’re a remote-first company looking to hire the absolute best talent all over the world.
Ready to #LiveCrypto? Who you are:
You’ve got positive energy. You’re optimistic about the future and determined to get there.
You’re never tired of learning. You want to be a pro in bleeding edge tech like DeFi, NFTs, DAOs, and Web 3.0.
You appreciate direct communication. You’re both an active communicator and an eager listener - because let’s face it, you can’t have one without the other. You’re cool with candid feedback and see every setback as an opportunity to grow.
You can pivot on the fly. Crypto is constantly evolving, so our priorities do, too. What you worked on last month may not be what you work on today, and that excites you. You’re not looking for a boring job.
You have a “can do” attitude. Our teams create high-quality work on quick timelines. Owning a problem doesn’t scare you, but rather empowers you to take 100% responsibility for achieving our mission.
You want to be part of a winning team. We’re stronger together, and you’re a person who embraces being pushed out of your comfort zone.
At Coinbase, our vision is to build an open financial system for the world, and to get there we’ll need to continually learn from our data. Data scientists are focused on this critical step of converting data into learning.
You’ll spend part of your time collaborating closely with business partners in product, engineering, finance and marketing teams — to ensure we’re focused on the biggest opportunities and leveraging data to meet business objectives. And you’ll spend the other part of your time with the Data Science team building analytics models and systems that help scale our insights more broadly, both throughout the company and directly in the product. We expect you to demonstrate clear communication, strong desire to execute and best-in-class craftsmanship.
What you’ll be doing (ie. job duties):
Identify data, metrics and analyses needs for marketing partners; Initiate, develop and maintain data pipelines and data models that powers dashboards and data products with outstanding craftsmanship.
Design experiments in partnership with marketing leadership to drive growth and identify optimal marketing executions. Partner with Insights & Research to perform analyses and build models to understand customer behavior and extract insights that impact marketing decisions and beyond
Synthesize data findings into compelling stories and communicate them throughout Coinbase.
Act as a strategic partner to Marketing team and Coinbase executives; initiate and execute on data-driven analyses to help prioritize opportunities and provide actionable recommendations
Prototype new analytics & machine learning models that improve both our insights and the product directly.
Work across multiple subject matter experts to drive new data initiatives, automation of reports, establish best practices and mentor junior members in the team.
Lead analytics projects to completion.
Work with the broader Data team to find ways to scale our insights through better systems and automation.
What we look for in you (ie. job requirements):
5+ years relevant experience
Demonstrate our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.
Experience with marketing analytics, attribution models, and cross-channel experimentation
Understanding of statistical concepts and experience in applying them.
Experience in data analyses using SQL.
Experience in at least one programming language (e.g. R, Python, Java, Ruby, Scala/Spark, or Perl).
Be able to independently create plans for analytics projects and build teamwork within the team.
BA / BS degree or equivalent practical experience
Nice to haves:
Be able to proactively manage prioritization of work and deliver work with great quality and influence the broader team in creating leverage.
Previous experience working with financial services data is a plus.
Experience with Looker, Tableau or other business intelligence platforms.
Domain experience in product, marketing, growth, or other business analytics areas.
Experience manipulating large amounts of structured and unstructured data.
Please note that for employees based in the US, Philippines, Canada or Singapore, if your role requires you to be present in a Coinbase office or if you choose to be physically present in a Coinbase office or sponsored location, participate in any in-person gathering (including offsites) or engage in business travel sponsored by Coinbase, you will be required to be fully vaccinated (as defined by applicable law). If you receive an offer, you will receive additional information about the grounds and process for an exemption.
Commitment to Equal Opportunity
Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view Pay Transparency, Employee Rights and Equal Employment Opportunity is the Law notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to accommodations[at]coinbase.com and let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here).
Global Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required.
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Senior Manager Data Science | Discover |
Discover. A brighter future.
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description
What You’ll Do
Provide thought leadership & strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. This role will closely monitor performance metrics and KPIs to ensure goals are met and course correct as necessary.
Manage a large team of high performing quantitative analysts and/or managers and will be responsible for ensuring the team stays motivated and engaged. He/she will manage team performance, coach and develop employees and hire the right talent. This role will identify, prioritize and supervise the team to flawlessly execute on initiatives, set strategic direction for the team on analytic initiatives as well as develop analytic core capability development that enable better decision making and nimble action.
How You’ll Do It
Provide thought leadership & strategic thinking to translate business problem into analytical framework(s) and independently recommend actions and provide business insights. Lead the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems.
Operate as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application and financial impact analysis.
Establish and maintain effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implement tests to drive strategy enhancement and optimization.
Recruit, train, coach and develop talent to their full potential with exceptional quantitative/analytical competencies, as well as project management skill and leadership skills. Manage and set priorities of analyst, assign projects and allocate resource, communicate business performance and project progress to management & business partners.
Collaborate with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Deliver effective presentations of findings and recommendations to multiple levels of leadership, creates visual displays of quantitative information. Facilitate implementation of work product and ensure accuracy.
Ensure standard work processes and documentation requirements are timely and consistently followed by team. Encourage continuous improvement of team processes and share across functional teams to ensure consistency.
Qualifications You’ll Need
The Basics
Bachelor’s Degree in Analytics, Engineering, Statistics or related field
8+ years of experience in Data Science, Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling or related field
2+ years of experience in People Management
Bonus Points If You Have
Master’s Degree in Analytics, Engineering, Mathematics, Statistics or related field
6+ years of experience in Data Science, Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling or related field
What are you waiting for? Apply today!
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.
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Principal Data Science Discover Student Loans | Discover |
Discover. A brighter future.
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description
Responsible for working closely with management to execute analytical initiatives. Responsible for providing thought leadership & strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. This position will closely monitor performance metrics and KPIs to ensure goals are met and course correct as necessary.
Responsibilities
Provides thought leadership & strategic thinking to translate business problem into analytical framework(s), and independently recommend actions and provide business insights. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis.
Collaborates with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Facilitate implementation of work product and ensure accuracy. Establishes and maintains effective performance tracking; identifies improvement opportunity, form hypothesis, propose, design and implement tests to drive strategy enhancement and optimization.
Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems. Lead the development of Analytical capabilities with the aim of creating long-term strategic data/analytics assets for the company.
Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.
Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs.
Consistently follows standard work processes and documentation requirements. Recommends improvement to work processes to increase efficiency while maintaining quality of work. Continuously improves technical and leadership skills through training and development.
Minimum Qualifications
At a minimum, here’s what we need from you:
Bachelor’s Degree in Analytics, Engineering, Statistics or related field
6+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field
Preferred Qualifications
If we had our say, we’d also look for:
Master’s Degree in Analytics, Engineering, Mathematics, Statistics or related field
4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field
#Remote
#BI-Remote
#LI-CP1
What are you waiting for? Apply today!
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.
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Principal Data Science | Discover |
Discover. A brighter future.
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description
What You'll Do:
Responsible for working closely with management to execute analytical initiatives. Responsible for providing thought leadership & strategic thinking to solve
tor performance metrics and KPIs to ensure goals are met and course correct as necessary.
How You'll Do It:
Provides thought leadership & strategic thinking to translate business problem into analytical framework(s), and independently recommend actions and provide business insights. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis.
Collaborates with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Facilitate implementation of work product and ensure accuracy. Establishes and maintains effective performance tracking; identifies improvement opportunity, form hypothesis, propose, design and implement tests to drive strategy enhancement and optimization.
Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems. Lead the development of Analytical capabilities with the aim of creating long-term strategic data/analytics assets for the company.
Delivers effective presentations of findings and recommendations to multiple
business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. This position will closely monitors levels of leadership, creating visual displays of quantitative information.
Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs.
Consistently follows standard work processes and documentation requirements. Recommends improvement to work processes to increase efficiency while maintaining quality of work. Continuously improves technical and leadership skills through training and development.
What You'll Need:
Minimum: 4+ years Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/ Data Science or related.
Preferred: 6+ years Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/ Data Science or related.
What are you waiting for? Apply today!
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.
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Senior Manager Data Science | Discover |
Discover. A brighter future.
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description
What You’ll Do
· Provide thought leadership & strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics. This role will closely monitor performance metrics and KPIs to ensure goals are met and course correct as necessary.
· Manage a large team of high performing quantitative analysts and/or managers and will be responsible for ensuring the team stays motivated and engaged. He/she will manage team performance, coach and develop employees and hire the right talent. This role will identify, prioritize and supervise the team to flawlessly execute on initiatives, set strategic direction for the team on analytic initiatives as well as develop analytic core capability development that enable better decision making and nimble action.
· Manage a team dedicated to building analytics insights for the contact center operations to support the work of Discover front line, partnering with dedicated customer experience teams outside of our organization, as appropriate
How You’ll Do It
· Provide thought leadership & strategic thinking to translate business problem into analytical framework(s) and independently recommend actions and provide business insights. Lead the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics, algorithm & recommendation to solve business problems.
· Operate as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application and financial impact analysis.
· Establish and maintain effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implement tests to drive strategy enhancement and optimization.
· Recruit, train, coach and develop talent to their full potential with exceptional quantitative/analytical competencies, as well as project management skill and leadership skills. Manage and set priorities of analyst, assign projects and allocate resource, communicate business performance and project progress to management & business partners.
· Collaborate with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Deliver effective presentations of findings and recommendations to multiple levels of leadership, creates visual displays of quantitative information. Facilitate implementation of work product and ensure accuracy.
· Ensure standard work processes and documentation requirements are timely and consistently followed by team. Encourage continuous improvement of team processes and share across functional teams to ensure consistency.
Qualifications You’ll Need
The Basics
· Bachelor’s Degree in Analytics, Engineering, Statistics or related field
· 8+ years of experience in Data Science, Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, or related field
· 2+ years of experience in People Management
Bonus Points If You Have
· Master’s Degree in Analytics, Engineering, Mathematics, Statistics or related field
· 6+ years of experience in Data Science, Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, or related field
What are you waiting for? Apply today!
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.
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Data Scientist Product | Drizly |
Who we are
Drizly is the world’s largest alcohol marketplace and the best way to shop beer, wine and spirits. Our customers trust us to be part of their lives – their celebrations, parties, dinners and quiet nights at home. We are there when it matters - committed to life’s moments and the people who create them. We partner with the best retail stores in over 1650 cities across North America to serve up the best buying experience. Drizly offers a huge selection and competitive pricing with a side of personalized content. That is what we do. Who we are is a different story.
We are more than just another tech company. There is an intellectual curiosity that occurs at Drizly. We have a desire to question, to understand, to figure it out. Bottom line, we solve it. We value not just the truth but the process to get to the truth, to deliberate, decide and then act. Most importantly, we care. We care about our customer. We care about our company. We care about our team. There will be long days and incredible challenges.
We are blazing a trail in an industry that hasn’t changed in nearly a century, and that doesn’t scare us (well, not all the time) -and even when it does, it doesn’t stop us, it energizes us.
Do you see yourself here? Read on.
Who you are
You have a solid foundation in Data Science, efficient and thorough EDA habits, can work in Python and SQL, and experience collaborating on a code base. You have built batch processes that drive outcomes for end-users. You have utilized time-boxed experimentation to improve business value.
You use the Data Science community to inspire you and look forward to learning new approaches and applying them to your specific text. You are driven to understand what individuals are looking for when they come to Drizly.
You know how to combine individual signals and events into a coherent and actionable intent. You effectively communicate your data-driven understanding of our users to different audiences across the organization.
You thrive in an environment of innovation; where best practices and referenceable design patterns may not exist entirely in literature. You enjoy collaborating with both data scientists and product teams to co-design new systems to drive business outcomes and new consumer experiences!
What the role is
As a Production Data Scientist, you will be building algorithms that give us a deeper understanding of our users. You will create new experiences for users on the Drizly core platform and drive business outcomes. You will dive deep on behaviors of individuals and distill what next steps we need to take to improve those experiences. Your algorithms will interact directly with our stack and will need to be designed to align with our systems.
You will collaborate with our Product, Design, and Engineering teams to ideate, design, build, and measure new and improved products.
You will contribute to our codebase in Python, dbt, and Databricks.
In this role you will:
Design and build personalization products that drive unique consumer experiences (platform features and/or real-time personalized advertising experiences)
Extend and improve our recommendation system to map to more intent models
Co-design enhancements and reuse of reinforcement learning framework for hyperlocal personalization
Participate in data science roadmapping sessions to co-create new opportunities to leverage ML do drive consumer, retailer, and brand experiences
Build algorithms within an evolving and performant machine learning stack
The Other Stuff:
Competitive Salary
One-on-one professional coaching with an external expert
Health, Dental and Vision Insurance
Flexible vacation policy
401(K) Plan with Employer Match
Added perks
You do you.
Drizly is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status
For Colorado-based roles: The salary/hourly rate range for this role is $93,900 per year - $110,500 per year. You will be eligible to participate in Drizly's bonus program, and may be offered an equity award, commissions, & other types of comp. You will also be eligible for various benefits. More details about our company benefits can be found at the following link: https://drizly.com/careers.
BEFORE YOU APPLY...
We ask that you please remove all identifying information from your resume before you upload it on the next page in an effort to help us remove unconscious bias from our resume review process. Drizly is committed to cultivating an inclusive environment where a diverse group of people can and want to do their best work, and that starts with our hiring practices. Additionally, you must reside in the United States to be considered for this position.
Identifying information includes your name, photos, LinkedIn URL, email address and more.
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Data Scientist Field Ops Consumption Forecast | Confluent |
Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favorite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That’s the power of data in motion in action—giving organizations instant access to the massive amounts of data that is constantly flowing throughout their business. At Confluent, we’re building the foundational platform for this new paradigm of data infrastructure. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can create a central nervous system to innovate and win in a digital-first world.
We’re looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Confluent’s enormous potential. Chart your own path and take healthy risks as we solve big problems together. We value having diverse teams and want you to grow as we grow—whether you’re just starting out in your career or managing a large team, you’ll be amazed at the magnitude of your impact.
About the Role:
We are now looking for a talented and driven individual to accelerate data and analytics efforts and boost our Field Operations trajectory - Sales, Customer Success, Partnership Ecosystem. This person will work closely with our C-suite executives and operation teams to develop and deliver high quality reporting, insights, and recommendations to drive better and faster decisions. Successful candidates will exhibit technical acumen and business savvy, with a passion for making an impact, through creative storytelling and timely actions.
What You Will Do:
Partner with Finance, Customer Solution Group Leadership, Strategy & Ops business partners to build, iterate and operationalize customer consumption forecast model that’s driven by machine learning
Design and help implement reliable and scalable data foundations and ML infra to support the model production
Integrate the model output to Finance’s revenue forecast. Support and enable finance team’s forecasting to be more consumption driven
Mentor and lead junior data scientists on the team
Collaborate with other data scientists across our organization to share best practices, learn new analytical techniques, and champion an organizational culture where data is central to decision making
What You Will Bring:
Bachelor or advanced degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
3+ years of experience in data science and/or machine learning domain. Excellent data manipulation skills, proficiency in SQL.
Extensive experience in statistical/machine learning model development with Python or R
Experience visualizing data and building dashboards. (eg. Tableau, Looker, etc.)
Strong problem solving skills and ability to translate business requirements into analytical questions
Effectively communicate model methodology, insights and recommendations to cross-functional partners; ability to synthesize, simplify and explain complex problems to different types of audiences, including executives
What Gives You an Edge:
5+ years of experience in data science and/or machine learning domain.
Experience and/or knowledge in driving consumption based business model in a B2B environment
Experience and/or knowledge in forecasting, customer churn model, anomaly detection, etc.
Experience working in GTM function at a SaaS company, e.g. key go to market funnel optimization, customer insights & retention, etc.
Come As You Are
At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law.
Confluent requires all employees (in office and remote) in the U.S. to be vaccinated for COVID-19. Consistent with federal, state, and local requirements, Confluent will consider requests for reasonable accommodation based on medical conditions/contraindications or sincerely-held religious beliefs where it is able to do so without undue hardship to the company.
Click here to review our California Candidate Privacy Notice, which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees.
#LI-Remote
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Manager Data Science | Confluent |
Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favorite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That’s the power of data in motion in action—giving organizations instant access to the massive amounts of data that is constantly flowing throughout their business. At Confluent, we’re building the foundational platform for this new paradigm of data infrastructure. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can create a central nervous system to innovate and win in a digital-first world.
We’re looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Confluent’s enormous potential. Chart your own path and take healthy risks as we solve big problems together. We value having diverse teams and want you to grow as we grow—whether you’re just starting out in your career or managing a large team, you’ll be amazed at the magnitude of your impact.
The mission of the Data Science team at Confluent is to serve as the central nervous system of all things data for the company: we build analytics infrastructures, metrics, insights, and models, to empower data-driven thinking, and optimize every part of the business. There are limitless opportunities for an ambitious data scientist to make an immediate and meaningful impact within a hyper-growth company.
About the Role: As a member of the Growth and Marketing Data team, the Growth and Marketing Data Science Manager is responsible for building and managing a team of talented data scientists and B/I developers in India. With your team, you will work across the Marketing organization to build data products and provide insights to inform marketing strategy. This role requires strong technical skills, business acumen, excellent communication skills, and leadership to succeed.
What You Will Do:
Hire, manage and grow a team of 3-5 highly skilled data scientists and B/I developers
Manage employee career development by providing coaching and mentoring to team members and guiding them to increase their potential. Provide continuous performance feedback, collaborate with employees on their objectives, and provide a clear path for progression through personal development plans.
Collaborate with Marketing partners and data science leads to drive the roadmap, prioritize, and manage staffing against key initiatives.
Serve as a liaison between the Data Science leads for each area and the team in India to ensure the business context, priorities, and strategic focus are well communicated, understood, and reflected in the projects
Be hands-on to develop data-driven business insights and work with the team and cross-functional partners to identify opportunities, drive Marketing strategy, planning, and execution.
Define how our teams measure success, by developing Key Performance Indicators and other users/business metrics, in close partnership with Marketing partners and Data Science leads
Provide rigorous technical mentorship to the team and institute development best practices to ensure the team produces high-quality deliverables.
What We're Looking For:
Bachelor or advanced degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
+7 years of experience in data science and analytics
+1 years of experience managing a team of data engineers, data scientists, and/or machine learning engineers.
Strong proficiency in SQL and Python (or R) (+7 years of experience)
Proficiency in data visualization (eg. Tableau, R-shiny, Python, Metabase, Looker, Matlab, etc.)
Strong knowledge and experience in quantitative modeling, statistical analysis, experimental design, and applied statistics (i.e. A/B testing) in an industry setting
Project management skills - Ability to drive projects end-to-end
Clear verbal and written communication skills. Demonstrated evidence of building lasting relationships with the team and business stakeholders.
The ability to communicate cross-functionally, derive requirements, and deliver insightful analysis and/or models; ability to synthesize, simplify and explain complex problems to different types of audiences, including executives
What Give You An Edge:
+10 years of experience in data science and analytics in a fast-paced environment
+3 years of experience in managing a team of data science professionals
Experience working with Go-to-Market or Marketing domain: web analytics, attribution, Marketing funnel, channel optimization, LTV modeling, etc.
Come As You Are
At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law.
Confluent requires all employees (in office and remote) in the U.S. to be vaccinated for COVID-19. Consistent with federal, state, and local requirements, Confluent will consider requests for reasonable accommodation based on medical conditions/contraindications or sincerely-held religious beliefs where it is able to do so without undue hardship to the company.
Click here to review our California Candidate Privacy Notice, which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees.
#LI-Remote
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Data Scientist G M India | Confluent |
Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favorite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That’s the power of data in motion in action—giving organizations instant access to the massive amounts of data that is constantly flowing throughout their business. At Confluent, we’re building the foundational platform for this new paradigm of data infrastructure. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can create a central nervous system to innovate and win in a digital-first world.
We’re looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Confluent’s enormous potential. Chart your own path and take healthy risks as we solve big problems together. We value having diverse teams and want you to grow as we grow—whether you’re just starting out in your career or managing a large team, you’ll be amazed at the magnitude of your impact.
About the Team:
The mission of the Data Science team at Confluent is to serve as the central nervous system of all things data for the company: we build analytics infrastructures, metrics, insights, and models, to empower data-driven thinking, and optimize every part of the business. There are limitless opportunities for an ambitious data scientist to make an immediate and meaningful impact within a hyper-growth company.
About the Role:
As a member of the Growth and Marketing Data team, the Growth and Marketing Data Science Manager is responsible for building and managing a team of talented data scientists and B/I developers in India. With your team, you will work across the Marketing organization to build data products and provide insights to inform marketing strategy. This role requires strong technical skills, business acumen, excellent communication skills, and leadership to succeed.
What You Will Do:
Define Marketing success metrics, build/maintain dashboards to monitor the health of our marketing, and understand changes to our KPIs
Partner with Marketing teams and operation partners to solve problems and identify trends and opportunities by analyzing data and extracting useful Marketing insights
Collaborate with other data scientists across our organization to share best practices, learn new analytical techniques, and champion an organizational culture where data is central to decision making
What We're Looking For:
+ 2 years of experience in data science and analytics
Strong proficiency in SQL and Python (or R) (+1 years of experience)Proficiency in data visualization (eg. Tableau, R-shiny, Python, Metabase, Looker, Matlab, etc.)
Experience visualizing data and building dashboards. (eg. Tableau, Metabase, Looker, etc.)
Strong problem-solving skills and ability to translate business requirements into analytical questions
Bachelor or advanced degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
The ability to communicate cross-functionally, derive requirements, and deliver insightful analysis and/or models; ability to synthesize, simplify and explain complex problems to different types of audiences, including executives
What Give You An Edge:
Experience and/or knowledge in experimental design and applied statistics (i.e. A/B testing) and machine learning in an industry setting
Experience in developing measurement across marketing activities
Experience working with Go-to-Market or Marketing domain: web analytics, attribution, Marketing funnel, channel optimization, LTV modeling, etc.
Come As You Are
At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law.
Confluent requires all employees (in office and remote) in the U.S. to be vaccinated for COVID-19. Consistent with federal, state, and local requirements, Confluent will consider requests for reasonable accommodation based on medical conditions/contraindications or sincerely-held religious beliefs where it is able to do so without undue hardship to the company.
Click here to review our California Candidate Privacy Notice, which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees.
#LI-Remote
|
Director Of Data Science | Tala |
About Tala
Tala is a global technology company building the world’s most accessible financial services. With more than $350 million raised from visionary investors, we are serving millions of customers around the world who have been overlooked by traditional financial institutions – and our plan is to serve millions more, and have been named by the Fortune Impact 20 list, CNBC’s Disruptor 50, and Forbes’ Fintech 50 list for four years running. We are expanding across product offerings, countries and crypto and are looking for people who have an entrepreneurial spirit and are passionate about the mission.
By creating a unique platform that enables lending and other financial services around the globe, people in emerging markets are able to start and expand small businesses, manage day-to-day needs, and pursue their financial goals with confidence. Currently, more than 6 million people across Kenya, the Philippines, Mexico, and India have used Tala products. Due to our global team, we have a remote-first approach, and also have offices in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, the Philippines; and Bangalore, India.
Most Talazens join us because they connect with our mission of enabling financial agency for underbanked people around the world. If you are energized by the impact you can make at Tala, we’d love to hear from you!
-Bring a sophisticated leadership practice to data science at Tala, and in data organization and the tech organization more broadly; have an effective POV when it comes to decision-making, communication, performance management, and partnership with the business.
-Work directly with peers in the tech, business, product, and finance organizations to ensure data leads to business impact.
-Create and communicate a technical vision that inspires your team and rallies the business around new investments in data science.
What you'll do
Identify, grow, and lead best-in-class talent in data science, experimentation, and machine learning research.
Build a strong culture of execution and ownership where impact is paramount.
Have passion for the Tala mission and ensure data practices align with the spirit of financial inclusion and robust stewardship of our customer’s data.
Make the right investments in infrastructure the company needs to scale, especially our suite of ML models that power Tala.
Qualifications
Strong track record in hiring and inspiring high-performing technical talent
Experience with financial services or consumer internet
Fluency in industry-leading techniques in the data domain, including experimentation and ML
Experience with the full modeling cycle, from scoping and development through deployment, after-sale and monitoring.
High level of statistical competency, knowledge of experimental design and analysis.
Holistic leader across technical depth, technical breadth, and broad leadership skills
Demonstrated ability to cultivate a strong execution and ownership-oriented culture
Inclusive leader who fosters an environment of candor, humility and passion
Our vision is to build a new financial ecosystem where everyone can participate on equal footing and access the tools they need to be financially healthy. We strongly believe that inclusion fosters innovation and we’re proud to have a diverse global team that represents a multitude of backgrounds, cultures, and experience. We hire talented people regardless of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
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Data Science Lead | Antenna |
We're looking for a Data Science Lead to partner with the Director in establishing world-class systems and processes for the Data Science efforts at Antenna. You will have the opportunity to advance our most important initiatives because of your detailed diligence in managing our models, designing new models, and proactive collaboration with the Product team.
You will report to our Director, Data Science. Antenna is remote-empathetic and welcomes applicants from anywhere in the United States.
What You’ll Do
As a Data Science Lead, you will act as a liaison between the data science team and our product management, data operations and engineering teams to deliver our next generation solutions
Ensure that our data science models are developed with scientific rigor and carefully maintained
Ensure reliable, accurate, and on-time delivery of our data solutions
Communicate with internal stakeholders & customers about any disruptions to our delivery, as well as the planned remedies to correct them
As a Data Science Lead, you will be expected to
Develop data models to ensure the quality and trendability of our reports
Develop a solution to identify errors, outliers and trend breaks in support of the efficiency of our data operations team
Maintain and improve existing solutions to reflect the constantly changing environment of subscription services
Institute standard operating procedures around our existing models to ensure stability and reproducibility of the data
Provide a data science perspective on the design of data architecture required for our existing and future products
Assess new data partners by evaluating the quality and usability of new data sources for future development. Also, design the initial versions of data models needed to incorporate new data sets
As a Lead, you will also be expected to provide technical mentorship to other team members and help recruit data scientists to our fast growing team
Who You Are
5 years of experience in applied data science and analytic methods (data regression, AI, classification, time series, etc)
Advanced programming skills in Python and SQL. Comfort with advanced analytics and data visualization tools such as Pandas Pyspark. Familiarity with Google Cloud
Proven experience in balancing practical business requirements and scientific rigor
Proven technical leadership to identify, develop, implement and maintain data driven solutions
Proven track record of successfully managing internal and external stakeholders through respectful candor, proactive communication, etc.
Comfortable with change and ambiguity and knows how to effectively prioritize time and resources
An affinity for our customers — consumer subscription brands
Bonus: experience managing, mentoring, or coaching data scientists and engineers
Bonus: experience in market research, marketing technology, or digital advertising
Bonus: experience in product analytics
Antenna Tech Stack:
Engineering: python, SQL, Google Cloud (Storage, Dataproc, BigQuery), git
Data Science: Pandas, pyspark
Data Engineering: pyspark, postgres, redash, django, kubernetes, redis, prometheus, data pipelining experience
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Data Science Lead Marketplace | Hipcamp |
About Hipcamp
Hipcamp unlocks access to private land, creating new places for people to get outside and go camping, glamping, or RV’ing. We believe that spending time in nature is essential to a happy and healthy human life, and we are deeply passionate about our mission to get more people outside. We are proud of the impact Hipcamp creates by making nature more accessible, providing income to support the protection of private land, and creating community across the urban rural divide.
Hipcamp’s mission is to connect people with the magic of the outdoors. We make Hipcamp successful by understanding our users and inspiring them to engage with our platform.
About the Role
Hipcamp is looking for a founding Data Scientist to build out our marketplace data science initiatives. In this role you will lead data science on a multi-disciplinary team of engineering, product management and design. This is a perfect role for someone with experience that wants to take the lead and shape the vision for how Hipcamp matches campers and hosts.
What we're looking for
Machine Learning
You will have the opportunity to fundamentally shape our use of machine learning. Building both machine learning models embedded directly in our product and in models used to optimize our business. The range of possible algorithms is broad therefore it is important that you understand when it is appropriate to use a given technique and understand the statistical methods used to assess your results. You will have experience and strong opinions about how to build an ML practice and you will be supported by our staff, product, and engineering team. You will build and hire a team to build the data science platform that runs Hipcamp. You will drive transformative business outcomes.
Leadership
You lead others and have strong opinions about how data science can impact our business. You will work closely with staff, product and engineering teams to define the strategic roadmap. You will build a team to execute on that vision guided by hard results. You'll iterate efficiently and by doing so your work will have long lasting impacts on the business. You will build trust and influence throughout the company and be a champion for objectivity. You will reveal patterns and build systems that lever up all of our efforts.
Experience
Ideally you have experience applying data science broadly to business challenges and have delivered impact. E-commerce or two-sided marketplace experience not required but preferred. Experience with designing and deploying online models at scale ideal. Experience designing recommendation systems and personalized product experience from scratch. Experience working with stakeholders and influencing strategy required.
About our Work Environment
Compensation will be a mix of salary and stock options. We are a 100% remote company post Covid-19.
Health is essential to happiness. In addition to full health insurance, all team members receive a monthly wellness stipend and $1K in Hipcash because we believe getting outside is excellent preventative medicine in addition to increasing your creativity, lowering your stress, and making you an overall more awesome human.
We focus on results, not hours. We believe that clearly defined goals combined with great people, empowerment, and autonomy create the best results. We feel confident that inclusive and diverse teams working on an important cause can accomplish extraordinary things.
Hipcamp is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. In fact we are confident that the most inclusive and diverse teams accomplish the most extraordinary results.
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Data Scientist | Button |
Button’s mission is to build a better way to do business in mobile. Today, we work with some of the largest and most interesting businesses in the world to connect consumers with what they want at the tap of a button. We build with the consumer experience in mind, have a reputation for paving the future of mobile, and have a good time doing it.
Button is a data-driven company committed to harnessing the power of data and machine learning to build the very best products for mobile commerce. As a Data Scientist you will continue the tradition of data-driven product innovation by working closely with engineers and product managers on existing and nascent products for the mobile economy. Within product and engineering you will evangelize mathematical approaches to measurement and analysis and make our organization stronger in the process.
Button is based in NYC and has employees distributed throughout the US and UK. This position is for NYC or Remote. #LI-Remote
As a Data Scientist you will:
Contribute to the design, testing, and iteration of the machine learning algorithms that form the backbone of Button’s PostTap SMS and App products
Work with our data warehousing systems to design, build, and maintain analyses and performance visualizations for key customers, major product initiatives, and other internal needs.
Work closely with engineering to design and implement A/B testing of consumer and customer facing product features
We look for teammates who:
Are able to work independently and take initiative in a fast-paced environment
Have an insatiable desire to sharpen your skills in analytics, communication, product, and strategy
Are confident contributing to products and deliverables in collaboration with experts in engineering, product, and sales
Experience level:
Skilled in Markov Decision Processes and Bayesian Statistics
Proficiency in Python
Experience with linear algebra, Monte Carlo methods, SVM, Model Selection, and optimization
Familiar with both SQL and NoSQL databases
Comfortable with AWS, distributed computing, and large-scale data sets
A desire to produce production level code and contribute to the engineering codebase
Excellent interpersonal, written, and verbal communication skills
Button is committed to being a welcoming and inclusive workplace for everyone, and we are intentional about making sure people feel respected, supported and connected at work—regardless of who you are or where you come from. We value and celebrate our differences and we believe being open about who we are allows us to do the best work of our lives.
Button is an Equal Opportunity Employer. We do not discriminate against qualified applicants or employees on the basis of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by federal, state, or local law, rule, or regulation.
To read more about what personal information we collect on your behalf and for what purposes we use such information, click here.
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Director Of Data Science And Analytics | Taskrabbit |
TaskRabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams.
Communications will always be conducted by taskrabbit.com domain names.
TaskRabbit is a remote-first company with employees distributed across the USA!
builtin's "Best Places To Work", 5 lists including: Austin Best Midsize Companies to Work For & SF Best Places to Work!
DataBird journal’s “Best Places” Best Companies for Diversity, #1 2019 and 2020
DataBird journal’s “ Best Places” Best Companies for Women, #4 2019 and #1 2020
About the Job
Data Science and Analytics are the lifeblood of TaskRabbit and we are scaling up the Data Science and Analytics team to provide key insights to drive our business forward.
You will be a member of the Data Group: Data Science, Machine Learning, and Data Engineering. We are a force multiplier, owning the data, analysis, and knowledge infrastructure that enables ourselves and our teammates to move faster and smarter.
As a Director of Data Science, you will work closely with a cross-functional team of product managers, marketing managers, designers, and engineers. You will help enable data-first culture, and elevate data-first to insight, strategy and impact focus as well as instrumentation and tracking measurement by establishing metric governance ground work as a foundation to enable our new capability in becoming more analytically matured data science team - moving from using descriptive analytics (“what happened”) to prescriptive analytics (“what is the best that could happen?”).
You will manage a midsize team of data analysts and product data scientists responsible for applying various predictive and statistical modeling techniques to solve complex multi-faceted marketplace problems and optimize outcomes for all parties. By partnering with business units, you will translate problems into analytical requirements, and work with your team to come up with data-driven solutions. You will provide insights and recommendations, conduct advanced experiments, assist in defining metrics and translate data into insights that would improve the product, marketing, and operational metrics.
Join us in creating a better everyday life for everyday people.
Responsibilities:
Foster a data-first culture of innovation, collaboration, and delivery
Manage, attract, hire, train, and develop a group of data scientists and analysts
Participate and guide all aspects of the project lifecycle from requirement gathering, data acquisition and preparation, hypothesis generation, ideation, coding, testing, and deployment of data science product
Conduct open-ended data exploration to answer product questions and design controlled experiments to enable decision making as we iterate on solutions
Craft compelling stories and make logical recommendations based on a thorough understanding of data and predictive models created on top of that
Propose projects including business objective, data gathering and processes, approaches, algorithms, and detailed set of results and metrics
Collaborate with data engineers to improve data preparation/cleansing/ETL pipelines
Formulate statistical questions to address business needs
Provide thought leadership on metrics, features, and product usage
Develop strong cross-functional partnerships and facilitate data-driven decision making across the organization
Lead a team to deliver data science projects, including statistical and predictive models, insights, and dashboards, to support business and achieve goals
Qualifications:
We welcome applicants from a variety of backgrounds and experiences. Below gives you a sense of how we're thinking about what you'll need to be successful in the role.
Visionary with a strong desire to lead, learn, implement and adapt
MS or above in Statistics, Computer Science, Engineering, Operations Research, or a related quantitative field
5+ years of experience with building a strong data science and analysts team, helping team members realize their full potential, and influencing the team culture
8+ years of real-world industry experience in building predictive and statistical models, delivering compelling communication of data-driven insights and analyses, and guiding data-influenced product and business planning, prioritization and strategy development
Has successfully led teams of 5+
Has led the organizational development and rapid growth of data science functions; strong ability to identify, hire, inspire, and scale a world-class data science team, particularly in a marketplace environment
Experience defining and implementing data and technology strategies
Experience working across multiple functions and business units in collaboration with leadership across the organization
Excellent statistical intuition and knowledge of various approaches such as causal inference, hypothesis testing, controlled experiments design, and sampling methods
Ability to translate high-level business objectives into actions, and experience executing on both long term and short term goals
Excellent interpersonal skills, ability to manage, mentor, and motivate a team
Excellent communication skills, both written and oral; with the ability to synthesize, simplify and explain complex problems to different types of audiences, including executives
Strong programming background, with extensive experience in Python and SQL
Experience with Looker, Tableau, or similar tools is a plus
Bonus Points
Agile. Intelligent. Creative. Problem-solver. Startup lover. You like making things happen
We're looking for people that have a passion for data, technology, and problem-solving with the ability to excel in a fast-paced environment
You're familiar with the marketplace, our product and have some ideas on things you'd want to add or change!
Success leading and building teams in marketplace platforms
About TaskRabbit
TaskRabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more. Acquired by IKEA Group - the world’s largest furniture retailer - in 2017
At TaskRabbit, we want to make your neighborhood a little more familiar. Whether it’s a handyman (or woman!), a housecleaner, moving help or delivery person, we’re imagining a world where everyone will have a go-to team to make everyday life easier. As a company we celebrate innovation, inclusion and hard work.
As a pioneer of the sharing economy, TaskRabbit was founded on the premise of neighbors helping neighbors. Since then, our network has grown to eight countries and 75+ cities, yet our core mission of creating a better everyday life for everyday people has remained the same.
Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world.
We are a group of mission-minded people. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially-minded and data-driven people who also have a passion for helping people do what they love - and have a ton of fun while they’re at it.
You’ll love working here because:
TaskRabbit is a remote first company. We recognize that talented people live all over the world.
Collaboration hub offices in San Francisco, Austin and London
The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!
Senior Leadership Team 75% women
Director Level 86% Diverse
The Values.
Care Deeply. We take time to be present and partner with our team and communities.
Level Up. We navigate through ambiguity and go the extra mile.
Be A Better Neighbor. We build a diverse and sustainable community and encourage all voices.
Lead The Future Together. We value entrepreneurship and are inspire by action.
The diverse culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up more than half of our team and leadership, and we strive to recruit and retain employees from all over the world.
The perks. TaskRabbit offers comprehensive medical, dental, vision 100% covered for employees, 401k plan with company matching, generous and flexible vacation and holiday time off, commuter benefits, learning and development opportunities, career development trainings, monthly TaskRabbit product stipends, IKEA discounts, weekly meditations, and a dog-friendly office
Equal Opportunity Employer
TaskRabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. TaskRabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
TaskRabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.
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Manager Data Science And Analytics | Taskrabbit |
TaskRabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams.
Communications will always be conducted by taskrabbit.com domain names.
TaskRabbit is a remote-first company with employees distributed across the USA!
builtin's "Best Places To Work", 5 lists including: Austin Best Midsize Companies to Work For & SF Best Places to Work!
DataBird journal’s “Best Places” Best Companies for Diversity, #1 2019 and 2020
DataBird journal’s “ Best Places” Best Companies for Women, #4 2019 and #1 2020
About the Job
Data Science and Analytics are the lifeblood of TaskRabbit and we are scaling up the Data Science and Analytics team to provide key insights to drive our business forward.
You will be a member of the Data Group: Data Analytics, Data Science, Machine Learning, and Data Engineering. We are a force multiplier, owning the data, analysis, and knowledge infrastructure that enables ourselves and our teammates to move faster and smarter.
As a Data Science and Analytics Manager, you will work closely with a cross-functional team of product managers, marketing managers, designers, and engineers. You will help enable data-first culture, and elevate data-first to insight, strategy and impact focus as well as instrumentation and tracking measurement by establishing metric governance ground work as a foundation to enable our new capability in becoming more analytically matured data science team - moving from using descriptive analytics (“what happened”) to prescriptive analytics (“what is the best that could happen?”).
You will manage a midsize team of data analysts and product data scientists responsible for applying various predictive and statistical modeling techniques to solve complex multi-faceted marketplace problems and optimize outcomes for all parties. By partnering with business units, you will translate problems into analytical requirements, and work with your team to come up with data-driven solutions. You will provide insights and recommendations, conduct advanced experiments, assist in defining metrics and translate data into insights that would improve the product, marketing, and operational metrics.
Join us in creating a better everyday life for everyday people.
Responsibilities:
Manage, hire, train, and develop a group of data scientists and analysts
Enable data-first culture, and participate and guide all aspects of the project lifecycle from requirement gathering, data acquisition and preparation, hypothesis generation, ideation, coding, testing, and deployment of data science product
Conduct open-ended data exploration to answer product questions and design controlled experiments to enable decision making as we iterate on solutions
Craft compelling stories and make logical recommendations based on a thorough understanding of data and predictive models created on top of that
Propose projects including business objective, data gathering and processes, approaches, algorithms, and detailed set of results and metrics
Collaborate with data engineers to improve data preparation/cleansing/ETL pipelines
Formulate statistical questions to address business needs
Provide thought leadership on metrics, features, and product usage
Develop strong cross-functional partnerships and facilitate data-driven decision making across the organization
Build statistical and predictive models, reports, and dashboards to support business and achieve goals
Qualifications:
We welcome applicants from a variety of backgrounds and experiences. Below gives you a sense of how we're thinking about what you'll need to be successful in the role.
MS or above in Computer Science, Statistics, Engineering, Operations Research, or a related quantitative field
3+ years of experience with building a strong data science and analysts team, helping team members realize their full potential, and influencing the team culture
6+ years of real-world industry experience in building predictive and statistical models including regression, classification, forecasting, and clustering
Has successfully led teams of 3+
Excellent statistical intuition and knowledge of various approaches such as causal inference, hypothesis testing, controlled experiments design, and sampling methods
Ability to translate high-level business objectives into actions
Excellent communication skills, both written and oral; with the ability to synthesize, simplify and explain complex problems to different types of audiences, including executives
Strong programming background, with extensive experience in Python and SQL
Experience with Looker, Tableau, or similar tools is a plus
Bonus Points
Agile. Intelligent. Creative. Problem-solver. Startup lover. You like making things happen.
We're looking for people that have a passion for data, technology, and problem-solving
You're familiar with the marketplace, our product and have some ideas on things you'd want to add or change!
About TaskRabbit
TaskRabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more. Acquired by IKEA Group - the world’s largest furniture retailer - in 2017
At TaskRabbit, we want to make your neighborhood a little more familiar. Whether it’s a handyman (or woman!), a housecleaner, moving help or delivery person, we’re imagining a world where everyone will have a go-to team to make everyday life easier. As a company we celebrate innovation, inclusion and hard work.
As a pioneer of the sharing economy, TaskRabbit was founded on the premise of neighbors helping neighbors. Since then, our network has grown to eight countries and 75+ cities, yet our core mission of creating a better everyday life for everyday people has remained the same.
Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world.
We are a group of mission-minded people. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially-minded and data-driven people who also have a passion for helping people do what they love - and have a ton of fun while they’re at it.
You’ll love working here because:
TaskRabbit is a remote first company. We recognize that talented people live all over the world.
Collaboration hub offices in San Francisco, Austin and London
The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!
Senior Leadership Team 75% women
Director Level 86% Diverse
The Values.
Care Deeply. We take time to be present and partner with our team and communities.
Level Up. We navigate through ambiguity and go the extra mile.
Be A Better Neighbor. We build a diverse and sustainable community and encourage all voices.
Lead The Future Together. We value entrepreneurship and are inspire by action.
The diverse culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up more than half of our team and leadership, and we strive to recruit and retain employees from all over the world.
The perks. TaskRabbit offers comprehensive medical, dental, vision 100% covered for employees, 401k plan with company matching, generous and flexible vacation and holiday time off, commuter benefits, learning and development opportunities, career development trainings, monthly TaskRabbit product stipends, IKEA discounts, weekly meditations, and a dog-friendly office
Equal Opportunity Employer
TaskRabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. TaskRabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
TaskRabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.
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Senior Data Scientist | Varsity Tutors |
We are looking for problem solvers with mastery in analytics, statistics and machine learning to join the fully remote Data Science team at Varsity Tutors. This team partners with product and engineering to discover insights and develop algorithmic solutions that support personalization at scale.
The qualified Senior Data Scientist will hold an advanced quantitative degree with experience building recommender systems, matching, or ranking algorithms. The candidate is expected to be comfortable developing prototypes that can be productized by engineering to develop real-time systems. Candidates must be comfortable with pushing through ambiguity and passionate about solving problems at scale and with speed.
About Nerdy:
Nerdy (NYSE: NRDY), the parent company of Varsity Tutors, is a leading platform for live online learning, with a mission to transform the way people learn through technology. The Company’s purpose-built proprietary platform leverages technology, including AI, to connect learners of all ages to experts, delivering superior value on both sides of the network. Nerdy’s comprehensive learning destination provides learning experiences across 3,000+ subjects and multiple formats—including one-on-one instruction, small group classes, large format group classes, and adaptive self-study. Nerdy’s flagship business, Varsity Tutors, is one of the nation’s largest platforms for live online tutoring and classes. Its solutions are available directly to students and consumers, as well as through schools and other institutions. Learn more about Nerdy at https://www.nerdy.com/. The company publicly listed on the New York Stock Exchange on September 21, 2021.
Qualifications:
M.S. or Ph.D. degree in a quantitative discipline (e.g. Mathematics, Statistics, Machine Learning, Econometrics).
3+ years of professional data science experience
Applied skills in the areas of statistical inference, probability, machine learning (unsupervised and supervised).
Experience with building recommender systems and implementation with a breadth of matching algorithms is a plus.
Experience with Bayesian reasoning, Natural Language Processing, classification, ranking systems is a plus.
Previous experience with production models, i.e. post-deployment responsibility
Relentlessly curious and strong bias for action.
Great communication skills
Ability to develop ML or statistical analyses software in R or Python
Responsibilities:
Develop algorithmic systems to enable personalization for our learners and instructors.
Partner with product, marketing, operations, and engineering to identify impactful problems, and turn business goals into objective functions.
Design experiments to rapidly establish causal relationships.
Drive initiatives from conception to production with measurable impact to the business.
Define creative services to thorny problems using mathematical algorithms
Varsity Tutors Leadership Principles
Relentless Focus on Customers * Comfort with Ambiguity * Ownership * Simplify * Intellectual Curiosity * Build Teams * Think Big * Insist on High Standards * Bias for Action * Build Trust * Go Deep * Have Conviction * Deliver Results * Are Right, a Lot
Benefits/Culture:
Competitive Salary plus Equity in the company
Healthcare Plans (Medical, Dental, Vision, Life)
401k Company Plan
Remote Position, fully work from home (or wherever you like!)
Flexible PTO plus a floating holiday
Paid VTO ("volunteer time off" to do community service/charity work)
52 hours of Free Learning Sessions per year for you or immediate families members and free access to our Virtual School Day classes and School@Home program
Once in a lifetime opportunity to help revolutionize how the world learns!
Fun, collaborative, and team-oriented work environment with plenty of training and a feedback-rich culture
Varsity Tutors is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. (INDHP)
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Senior Data Scientist | Rhythm Energy |
About Rhythm
Rhythm is a renewable energy and technology company empowering you to take control of your budget and your footprint. We combine energy market expertise with technology, design, and data science to create best-in-class products and services that are simple, delightful, and seamlessly integrated with the rhythm of your life. Our mission is to upend the energy status quo by setting a new standard of service excellence and customer partnership. We are a mission-driven, results-oriented group of engineers, businesspeople, designers and artists who love solving tough problems, all while making a positive impact on our communities.
Key Qualities
Problem-Solving Sophistication, Creativity, Thought Leadership, Technical/Theoretical Know-How, Self-Starter, Collaborator, Strong Communicator
The Why
Senior Data Scientist will build predictive models that provide key insights into customer and energy market behaviors, allowing Rhythm to present the best green energy products to their customer base, while providing outstanding customer service and value as an energy provider.
The What
Execute complex analytical projects to extract insights and create business value from consumer and market data, improving customer experience, new product creation, portfolio management, business expansion, and other parts of Rhythm’s business.
Translate business stakeholder needs into technical analyses and/or solutions with an emphasis on creating rapid impact
Creatively pursue new data sources and/or modeling techniques that can improve predictive power and insight of existing models
Work closely with software and data engineering teams to build out systems required for collecting, structuring, and modeling data, as well as ensuring data quality and integrity
Actively advocate for, and ensure that AI/ML and predictive models drive decision-making throughout the business
Own the design, development, thorough testing, and monitoring of your analytics models
Be an expert that teams across the business can rely on for data insights and analysis
The How
5+ years of experience in data science, with a demonstrated ability to turn business problems into robust data science solutions
Outstanding analytical capacity, deep curiosity, creativity, willingness to learn, and a strong drive to impact business outcomes
Deep understanding of statistics and machine learning fundamentals, with a preferred focus on time series analysis, multivariate regression and segmentation problems; advanced degree in a quantitative field preferred but not required
Strong working knowledge of Python and relevant data science tools such as pandas, numpy, sklearn, tensorflow, etc.
Familiarity with a modern cloud-based ecosystem as used to manage data, train and deploy machine learning models (e.g. AWS, Snowflake, Redshift, Databricks, MLflow, etc.)
Strong communication and data presentation skills, including ability to explain data science model outputs to a broad group of customers and stakeholders
Familiarity with BI tools such as Tableau or Power BI preferred
Experience in retail energy analytics, including wholesale pricing or product structuring is highly valued
Geography:
• Rhythm is headquartered in Houston, Texas. This position can be either located in our headquarters in Houston, TX or can be fully remote.
Compensation and Benefits:
• Competitive base salary and bonus• Complete benefits package, including unlimited PTO, Medical, 401k, HSA/FSA, etc.
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Business Intelligence Leader | Anaconda |
Role: Business Intelligence leader
Reports to: SVP, Product
Department: Product
Location: Remote, US
Job Type: Full Time, Exempt
Help us Shape the Future of Data
Anaconda is the world’s most popular data science platform. With more than 26 million users, the open source Anaconda Distribution is the easiest way to do data science and machine learning. We pioneered the use of Python for data science, champion its vibrant community, and continue to steward open-source projects that make tomorrow’s innovations possible. Our enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness the power of open source for competitive advantage and groundbreaking research.
Anaconda is seeking people who want to play a role in shaping the future of enterprise machine learning, and data science. Candidates should be knowledgeable and capable, but always eager to learn more and to teach others. Overall, we strive to create a culture of ability and humility and an environment that is both relaxed and focused. We stress empathy and collaboration with our customers, open-source users, and each other.
Here is why people love most about working here: We’re not just a company, we’re part of a movement. Our dedicated employees and user community are democratizing data science and creating and promoting open-source technologies for a better world, and our commercial offerings make it possible for enterprise users to leverage the most innovative output from open source in a secure, governed way.
Summary
Anaconda is seeking a talented Business Intelligence Leader to join our rapidly-growing company. This is an excellent opportunity for you to leverage your experience and skills and apply it to the world of data science and machine learning.
What You’ll Do:
Apply data science to our offerings and data about the data science community
Own innovation initiatives focused on key data science deliverables. Drive innovation and research working effectively with cross functional teams and drive data science thought leadership in research initiatives
Identify and monitor and research new ways of using data to solve business problems
Develop new analytic innovations and be able to present them to stakeholders in a compelling way, demonstrating value and differentiation, and drive the impact of our products and services
Serve as the subject matter expert for all things data science, bring expertise to our users offering more visibility to the analytic innovations and process behind innovation, including speaking engagements, collateral development, and presentations
Be a trusted advisor on use of data science technologies and listen to stakeholders’ challenges to drive Anaconda’s innovation forward
Track the fields of data science, machine learning, artificial intelligence, and deep learning—staying abreast of current trends and making recommendations how these advancements might be leveraged within Anaconda.
Manage data projects, ensuring stakeholder engagement, status updates, and issue escalation
Partner with Product and Engineering to ensure the required instrumentation is built into our products and services
Support the management of incoming demand, assign work to team, and facilitate further scoping and coordination as needed
Coordinate with Learning and Development on the creation of Insights & Data-Driven Culture, Data Literacy content and campaigns
Partner with technology to build the data infrastructure required to support our goals
Drive data driven decisions to positively impact our ability to achieve our business objectives
Build impactful business intelligence dashboards, tools, and apps providing insights from our data.
Be a proactive partner within the product organization improving the customer experience with data that helps to prioritize work drives faster iteration and experimentation
Support the design, development, and iterative improvements of weekly reports and monthly business reviews
Lead a team of data scientists and business analysts that you partner with to achieve these outcomes
What You Need:
Degree in statistics, mathematics, computer science, engineering, economics, or related field
Minimum of 10 years of related experience.
Team leadership and people management experience
Technical hands-on experience will include employing machine learning, mathematical/statistical modeling, pattern recognition, or data mining on real world problems and knowledge of python for analytic innovations integration into production software
Familiar with Anaconda Distribution and the pydata ecosystem
Prior experience (partnering with internal cross functional teams like product management, marketing, sales) driving high quality/on-time analytic development programs and driving analytic innovation into business processes and offerings.
Excellent communication skills both written and verbal with examples of published work and conference presentations
Experience in open source and data science advocacy
Team attitude: “I am not done, until WE are done”
Embody our core values:
Ability & Humility
Innovation & Action
Empathy & Connection
Care deeply about fostering an environment where people of all backgrounds and experiences can flourish
What Will Make You Stand Out:
Experience working in a fast-paced startup environment
Experience working in a open source or data science-oriented company
Why You’ll Like Working Here:
Unique opportunity to translate strong open source adoption and user enthusiasm into commercial product growth
Dynamic company that rewards high performers
On the cutting edge of enterprise application of data science, machine learning and AI
Collaborative team environment that values multiple perspectives and clear thinking
Employees-first culture
Flexible working hours
Medical, Dental, Vision, HSA, Life and 401K
Health and Remote working reimbursement
Paid parental leave - both mothers and fathers
Pre-IPO stock options
Open vacation policy and monthly company days off known as Snake Days
100% remote and flexible working policy – we embrace this fully through how we operate as a company.
An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
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Senior Data Scientist | Possible Finance |
Possible is a venture-backed consumer fintech that has radically reinvented small-dollar loans. We are working to lend in a more affordable and sustainable way to help people improve their financial health. Building on our success, Possible is adding two additional products in the pursuit of making financial services more fair and affordable.
Now in our 4th year, we are pleased to share we have seen serious growth, helped hundreds of thousands of customers, and have a stellar rating (100,000+ people give us an average of 4.8 stars at the app store). Our team has delivered and is making a difference.
Do you desire to work with large amounts of data? Are you interested in building a data science function while doing meaningful work? Have you always wanted your work to have a positive societal mission to help underserved communities?
As a Senior Data Scientist at Possible, you will work on interesting, high-impact, and intellectually stimulating data science projects. Key responsibilities including; Life cycle credit policy management ranging from acquisition to collections, underwriting/machine learning models development, credit risk portfolio reporting, and monitoring, fraud management and prevention, new product analysis and definition, campaign management, and credit strategy testing.
This role requires a high level of analytical problem solving and collaboration as you work cross-functionally to answer key strategic questions and drive decision-making. This role reports directly to the Head of Data Science and ML.
Roles & Responsibilities:
- Data Analytics
- Designing, developing and implementing machine learning models/algorithms
- Builds underwriting models to increase loan funding rates while lowering losses
- Drives improvements in customer acquisition and fund recovery
- Identifies and evaluates new data sources to improve customer acquisition and fund recovery
- Works holistically across the entire risk management continuum including marketing channel evaluation and pre-approval criteria for existing customers
- Continue to test new strategies and models and work with the fund recovery team to improve cash collection
- Drives analysis and ongoing improvements to loss performance of new markets.
- Working with other departments (including marketing, loan operations, finance, etc) evaluates new product opportunities and forecasts likely loss performance.
- Evolves strategies and pricing recommendations to improve performance as the new products scale.
Work experience and education, knowledge and skills:
A bachelor's degree in statistics, data science, applied mathematics, computer science, or engineering is required. An advanced degree from a respected academic institution is preferred.
2-3 years of hands-on experience using tools such as R, Python, SQL, Spark
Prior experience using reporting tools such as Tableau, Looker, or equivalent
Self-starter with the ability to develop insightful financial models and quantitative analysis, paired with strong critical thinking and sound business judgment
Excellent organizational skills with the ability to set priorities and to work simultaneously on several projects.
Excellent analytical and numerate skills. Attention to detail.
Experience in analyzing large scale data in both structured and unstructured settings
Knowledge of cloud computing and AWS services is a plus
About Possible:
We are a fast-growing, fully distributed, FinTech startup that believes financial health is something everyone deserves, not just the affluent. We're committed to empowering the underserved with tools to better their economic situation. We promise to be transparent, serve with kindness, be responsible, and hold ourselves accountable for crafting positive change. Possible is backed by leading investors such as Union Square Ventures, Canvas Ventures, and FJ Labs.
Work hours:
Possible is fully distributed and has team members across the US and in Asia and Latin America. Our primary coordination hours are 9a to 3p Pacific Time.
Diverse, Equitable, & Inclusive Work Environment:
Possible Finance values inclusion and believes diversity at all levels is the best way for us to accomplish our mission. We aspire to be among the industry’s most inclusive work environments and are a proud equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of any status protected under federal, state, or local law.
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Sr Data Scientist Ad Measurement | Disqo |
DISQO is changing the way that the world’s largest brands, agencies and consumer intelligence companies get to know their consumers. We’ve built the first identity-based platform that combines consumer attitudes and behaviors together to power the most accurate and predictive insights solutions for our customers, and we do all of that with the willing participation of our consumers and without using outdated technologies like third-party cookies. We help our customers get a cross-platform view into consumer sentiment, measure advertising effectiveness, analyze consumer purchase journeys, and ultimately grow their brands.
Our mission at DISQO is to engage people to share their opinions and behaviors openly to help our customers make the right decisions. With over one million active members sharing their attitudes and behaviors, DISQO is looking to expand, improve and create world-class applications for people to openly share their data for research.
DISQO is looking for a Sr. Data Scientist to join our Ad Measurement team. You will help us define and build our next generation of Ad Measurement products based on insights and market research using DISQO’s unique behavioral data. If you have a passion for data science, a background on ad tech/measurement and have a product & growth mindset we would love to talk to you. This position is highly visible. You will present solutions to the executive team, influence our product roadmap, and shape the future of market research space.
You will also be part of the DISQO Data Science team. We are a high-performance team looking for others to challenge us to become even better. We are equal partners collaborating with product, engineering, and marketing teams to define and shape DISQO products and infuse them with Data Science capabilities at the consumer and enterprise side. We are looking for people with a growth mindset, data curiosity, who are comfortable with ambiguity and uncertainty and have the eagerness to be agile, creative to redefine the market research space.
What you will do:
Build DISQO’s next generation Ad Measurement platform
Act as the Data Science Subject Matter Expert for everything Ad Measurement
Collaborate with engineering, data analyst and product teams to understand customer needs, analyze ad campaign performance and clearly communicate findings and insights based on DISQO’s unique data set to help shape DISQO’s ad-measurement products
What you bring to the table:
PhD or Master in Computer Science, Mathematics, Statistics, Econometrics
Experience in the Ad Measurement and/or Market Research space and hands on experience and understanding of causal inference, control group creation & counterfactuals, brand & ad lift measurement and survey weights
Experience with statistical and propensity modeling
Experience with big data technologies such as Spark, AWS Athena, Hadoop, Redshift
Expertise in programming in Python or R, fluency in SQL and proficiency in using Jupyter notebooks
Strong communicator - able to advocate data informed decision-making at all levels
Strong analytical capabilities to translate business problems into Data Science problem formulations
Familiarity with A/B testing and evaluation methodologies
Prior experience with media analytics; digital, linear TV, or connected TV advertising is a strong plus
#LI-Remote #LI-FP1
Perks & Benefits:
·100% covered Medical/Dental/Vision for employee, 80% for dependents
·Equity
·Unlimited Vacation
·Flexible work hours
·Happy Hours
·Quarterly Offsites
·401K
·Life Insurance
·FSA
·Paid Maternity/Paternity leave
·Disability Insurance
·Travel Assistance Program
·24/7 Counseling Services offered to employees
DISQO is an equal opportunity employer. Discovery, innovation, and growth are possible when we open ourselves to new possibilities, perspectives, and approaches. That’s why, at DISQO, we welcome, support, and empower individuals from diverse backgrounds. Exceptional teams are rooted in extraordinary people, each with a unique story and a compelling set of skills. DISQO does not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, pregnancy (including childbirth, breastfeeding, or related medical condition), genetic information, protected military or veteran status, sexual orientation, or any other characteristic protected by applicable federal, state or local laws.
*Recruiting firms that submit resumes to DISQO without first entering into a written contract will not be entitled to any compensation on candidates referred by that firm.
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Data Scientist | Cresta |
Interested in defining how AI shapes the future of work? Cresta is on a mission to make every knowledge worker 100x as effective, 10x faster, and 10x better. We apply AI to improve Call Center operations using our patented real-time coaching platform. We provide dynamic, live guidance to every agent based on the best practices of the top performers.
We’re growing fast! We spun out of the Stanford AI lab and are co-founded by Sebastian Thrun, who is the most successful German in Silicon Valley (co-founder and CEO of Google-X, Waymo, Udacity, Kitty Hawk, and more). Cresta launched in 2020. Since then, we’ve grown revenue and our team by 300%! We’ve assembled a world-class team of AI and ML experts, go-to-market leaders, and top-tier investors and advisors including Andreessen Horowitz, Greylock Partners, Sequoia Capital, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Porsche, Adobe, and Dropbox and we have been recognized as a startup to watch by Business Insider, Forbes, and Gartner to name a few.
As a Data Scientist, you will be responsible for owning and systematizing the way Cresta shows value to our customers, working across all aspects our customer journey. If you enjoy solving problems faced by large enterprise companies, have world-class written and verbal communication skills, and love data analysis, external presentations, and organizing internal and external project timelines, then we’d love to talk!
What You'll do:
Own and systematize a repeatable way to show value of Cresta for new and existing customers using standard statistical analysis methods (e.g. A/B tests) as well as product engagement and NLP techniques, all tied back to business outcomes
Design, create and maintain tooling (e.g., dashboards and visualizations) that can be used both internally and externally for communicating value and enabling others to answer data questions
Analyze large corpuses of text data using standard NLP practices: an example analysis might be "what are the key behaviors that top sales agents do that lead a sale?" and making that analysis repeatable to be used across different teams and customers
We're looking for someone who has:
Proficiency in SQL, data visualization, and data storytelling, as well as standard NLP analysis and workflows (e.g. Numpy, Pandas, NLTK, Jupyter, etc.)
Strong knowledge of statistics and experimental design
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, neural networks, etc.) and their real-world advantages/drawbacks
3+ years experience working with and analyzing large data sets to solve customer problems (Bonus: part of that with language/text data)
The ability to communicate results clearly written, verbally, and via presentations to both internal and external executives and data-savvy teams
Bonus: an advanced degree in a quantitative field (e.g., Statistics, Sciences, Engineering, CS, Math)
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Data Science Summer Intern | Petal |
The Petal mission
Petal’s mission is to expand access to opportunity, by making responsible, modern financial services available to everyone. Founded in 2016, Petal provides technology-enabled credit cards to consumers who are historically underserved by mainstream providers.
Petal pioneered automated cash flow underwriting, a transformative new approach to assessing consumer creditworthiness with the potential to expand access to tens of millions of U.S. consumers without credit history, or for whom traditional credit scores do not tell the whole story. Petal pairs this groundbreaking, data-driven underwriting technology with a mobile-first, digitally native product experience designed to help users manage and build credit responsibly. For Petal, it’s a mission as much as it is a business—with a goal to reimagine finance for the next generation of consumers.
At Petal, we're looking for people with kindness, positivity, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and potential will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Petal, we welcome diverse perspectives from people who think rigorously and aren't afraid to challenge assumptions.
The Data Science, Intern role
We are working on revolutionizing credit through usage of personal cash flow in underwriting. Achieving this objective requires best in class models that are continuously being improved, making the data science function critical for this mission. These models will support our risk underwriting, acquisition and customer management teams. In this role, you will aid in the development of models and conduct research to support the Data Science team.
We are looking for passionate people who are excited by the Petal mission.
Approximate internship dates: May 31 - August 19, 2022
Key responsibilities:
Develop insights and data visualizations to solve complex problems and communicate ideas to internal stakeholders.
Extract and analyze data, investigate data integrity, generate metrics and perform ad hoc analysis.
Explore and test new data sources to improve our risk and marketing models.
Research new models, algorithms, and enhanced model features to improve our credit scoring and risk models.
Partner with data engineers to validate and deploy solutions in an efficient, sustainable and usable manner.
Characteristics of a successful candidate:
Progress towards a degree in a STEM Major (Science, Technology, Engineering, or Math)
Strong knowledge of statistical and/or machine learning techniques OR strong knowledge of Python (strong SQL is a plus!)
Nice to haves:
Strong preference to rising Seniors or candidates working toward MA/MS/PhD
Petal is an equal opportunity employer, and we are committed to building a team culture that celebrates diversity and inclusion. We’re proud to be different, together.
For our California employment information privacy statement, please click here.
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Data Science Manager | Grammarly |
Grammarly team members who will be collaborating at our San Francisco hub must be based in the United States.
The opportunity
Grammarly empowers people to thrive and connect, whenever and wherever they communicate. Every day, 30 million people and 30,000 teams around the world use our AI-powered writing assistant. All of this begins with our team collaborating in a values-driven and learning-oriented environment.
To achieve our ambitious goals, we’re looking for Data Scientist Managers to lead teams and work with product partners by understanding our users, contributing to product and growth strategy, and developing fundamental measurement frameworks. Data Scientists at Grammarly are trusted subject matter experts who uncover new insights to inform product and growth strategy. Our Data Scientists work with teams that build our core product features, demonstrate the value of our product to users, and empower people to use Grammarly everywhere they write. We have large datasets and are looking for folks with deep technical and analytical skills to break down complex business problems to provide solutions with high visibility and impact for the company.
Grammarly’s data scientists have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product and growth roadmap. The complexity of the technical questions we face is growing rapidly as we scale our interfaces, algorithms, and infrastructure. Read more about our stack or hear from our team on our technical blog.
Your impact
As a Data Scientist Manager, you will:
Have a broad scope and an evolving role in a rapidly growing company.
Lead, motivate, and grow a team of talented data scientists to drive business growth and product roadmaps using data.
Be a thought leader to influence the product and business partners.
Identify new Product and Growth opportunities.
Provide data-driven solutions to complex product and growth questions.
Advise on experimentation strategy.
Identify strategic data needs.
We’re looking for someone who
Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
Preferably has 3 years of experience managing data science teams.
Has experience as an influential and effective thought partner to product teams and shows strong communication, proactiveness, creativity, and prioritization skills.
Has strong analytical and critical thinking skills as well as a strong bias toward actionable insights.
Has experience helping others understand numbers.
Has practical experience in data analysis, statistics, and experimentation.
Is proficient with SQL as well as programming in Python, R, Scala, or an equivalent language.
Holds a PhD in a quantitative field or a master’s in a quantitative field with a minimum of 3 years of relevant working experience.
Support for you, professionally and personally
Professional growth: We hire people we trust, and we give team members autonomy to do their best work. We also support professional development with training, coaching, and regular feedback.
A connected team: Grammarly builds a product that helps people connect, and we apply this mindset to our own team. We have a highly collaborative culture supported by our EAGER values. We also take time to celebrate our colleagues and accomplishments with global, local, and team-specific events and programs.
Comprehensive benefits: Grammarly offers all team members competitive pay along with a benefits package encompassing superior health care (including mental health benefits). We also offer support to set up a home office, ample and defined time off, gym and recreation stipends, 401(k) matching, and more.
For Colorado-based employment: The salary range for this position is $159,000-$241,000/year; however, base pay offered may vary considerably depending on job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.
We encourage you to apply
At Grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Grammarly will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance. Grammarly is an equal opportunity employer and participant in the U.S. Federal E-Verify program.
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Data Scientist | Grammarly |
The opportunity
Grammarly empowers people to thrive and connect, whenever and wherever they communicate. Every day, 30 million people and 30,000 teams around the world use our AI-powered writing assistant. All of this begins with our team collaborating in a values-driven and learning-oriented environment.
To achieve our ambitious goals, we’re looking for Data Scientists at all levels of experience—early career, senior, staff, and tech lead—to work with product partners to understand our users, contribute to product and growth strategy, and develop fundamental measurement frameworks.
Data Scientists at Grammarly are trusted subject matter experts who uncover new insights to inform product and growth strategy. Our Data Scientists work with teams that build our core product features, demonstrate the value of our product to users, and empower people to use Grammarly everywhere they write. We have large datasets and are looking for folks with deep technical and analytical skills to break down complex business problems to provide solutions with high visibility and impact for the company.
Grammarly’s Data Scientists have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product and growth roadmap. The complexity of the technical questions we face is growing rapidly as we scale our interfaces, algorithms, and infrastructure. Read more about our stack or hear from our team on our technical blog.
Your impact
As a Data Scientist, you will:
Take on a broad scope of work and an evolving role in a rapidly growing company.
Conduct deep-dive analyses into user behavior.
Quantitatively study large user segments.
Develop user segment targeting strategy.
Drive direction on the Product and Growth teams.
Identify new product and growth opportunities.
Opportunity-size new strategic levers.
Provide data-driven solutions to complex product and growth questions.
Define advanced metrics.
Advise on experimentation strategy.
Identify strategic data needs.
We’re looking for someone who
Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
Holds a PhD or master’s degree in a quantitative field.
Has 3+ years of relevant work experience.
Has experience as an influential and effective thought partner to product teams.
Demonstrates strong communication, proactiveness, creativity, and prioritization skills.
Has strong analytical and critical thinking skills as well as a strong bias toward actionable insights.
Has experience helping others understand numbers.
Has practical experience in data analysis, statistics, and experimentation.
Is proficient in SQL, Python, R, Scala, or an equivalent language.
Support for you, professionally and personally
Professional growth: We hire people we trust, and we give team members autonomy to do their best work. We also support professional development with training, coaching, and regular feedback.
A connected team: Grammarly builds a product that helps people connect, and we apply this mindset to our own team. We have a highly collaborative culture supported by our EAGER values. We also take time to celebrate our colleagues and accomplishments with global, local, and team-specific events and programs.
Comprehensive benefits: Grammarly offers all team members competitive pay along with a benefits package encompassing superior health care (including mental health benefits). We also offer support to set up a home office, ample and defined time off, gym and recreation stipends, 401(k) matching, and more.
For Colorado-based employment: The salary range for this position is $156,000-256,000/year; however, base pay offered may vary considerably depending on job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.
We encourage you to apply
At Grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Grammarly will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance. Grammarly is an equal opportunity employer and participant in the U.S. Federal E-Verify program.
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Lead Data Scientist | Fanduel |
ABOUT FANDUEL GROUP
FanDuel Group is a world-class team of brands and products all built with one goal in mind — to give fans new and innovative ways to interact with their favorite games, sports, teams, and leagues. That’s no easy task, which is why we’re so dedicated to building a winning team. And make no mistake, we are here to win, but we believe in winning right. That means we’ll never compromise when it comes to looking out for our teammates. From our many opportunities for professional development to our generous insurance and paid leave policies, we’re committed to making sure our employees get as much out of FanDuel as we ask them to give.
FanDuel Group is based in New York, with offices in California, New Jersey, Atlanta, Florida, Oregon and Scotland. Our brands include:
FanDuel — A game-changing real-money fantasy sports app
FanDuel Sportsbook — America’s #1 sports betting app
TVG — The best-in-class horse racing TV/media network and betting platform
FanDuel Racing — A horse racing app built for the average sports fan
FanDuel Casino & Betfair Casino — Fan-favorite online casino apps
FOXBet — A world-class betting platform and affiliate of FanDuel Group
PokerStars — The premier online poker product and affiliate of FanDuel Group
THE POSITION Our roster has an opening with your name on it
We are looking for a Lead Data Scientist for our Sports Modeling & Innovation team to tackle our most challenging sports modeling problems. Throughout the lifecycle of a model, from data collection through results, you will create predictive models of sports to build tools and dashboards, price markets, and drive actionable insights across FanDuel Group. You will be working closely with the product and risk and trading teams, modeling player performance, team performance, and game outcomes among other challenges. You will promote effective communication of model outputs and contribute to a collaborative code environment.
THE GAME PLANEveryone on our team has a part to play
Develop, iterate, and take to production machine learning models to predict sports outcomes and solve problems
Iterate and improve on betting product range to ensure market leading offering
Continuous improvement in pricing techniques - both at an individual level and working with trading teams to optimize predictive and derivative model pricing
Choose appropriate tools, systems and models to solve large data problems
Troubleshoot and resolve coding and modeling problems presented by others
Proactively seek opportunities or problems to be analyzed
Lead and contribute to multiple strategic projects
Contribute to group strategy, ensuring they reflect priorities for your team and stakeholders
Put together project plans for the Data Science team to follow
Presents to senior leaders confidently and with impact
Construct models, analyses and solutions in response to a question or problem posed by a stakeholder or colleague
Provide data-driven recommendations to stakeholders, articulating complex technical concepts as necessary
Manage the data preparation process from collection through cleaning
Engage with engineering to build scalable tools to accelerate the conversion of data to insight
Build robust predictive models, showing capabilities of feature and model selection
Work with decision-makers across the company to understand their goals, identify opportunities to use data to develop new insights and improve business results
Bring efficiency and automation in the data infrastructure
Create dashboards and data visualizations for analysis and communication
Opportunity to mentor and or coach more junior data scientists
Communicate process and conclusions seamlessly, tailored to the audience
THE STATSWhat we're looking for in our next teammate
6+ years of industry experience in data science, analytics or engineering
Bachelor's Degree in a highly numerate major (Math, Stats, Econ, etc.) or relevant experience in data science preferred
Expert predictive modeling capabilities
Strong understanding of engineering standards and practices
Strong analytical and quantitative skills, with high proficiency in Python or R, and SQL (or coding language of choice)
Expert in Bayesian statistics
Expert with command line tools and GitHub
Object-oriented design and coding skills
Strong verbal and written communication skills
Ability to work across teams, locations and time zones
Willing to work non-traditional hours when applicable
Interest or experience in Sports Gaming and/or Fantasy Sports
THE CONTRACT We treat our team right
Competitive compensation is just the beginning. As part of our team, you can expect:
An exciting and fun environment committed to driving real growth
Opportunities to build really cool products that fans love
Mentorship and professional development resources to help you refine your game
Flexible vacation allowance to let you refuel
Hall of Fame benefit programs and platforms
FanDuel Group is an equal opportunities employer. Diversity and inclusion in FanDuel means that we respect and value everyone as individuals. We don't tolerate bias, judgement or harassment. Our focus is on developing employees so that they reach their full potential.
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Data Scientist Experimentation | 1Password |
Over 100,000 businesses and millions of people use 1Password to protect their most important information. Our mission has always been to ease the tension between security and convenience and help people navigate the digital world without fear or friction. Our culture encourages big ideas and new ways of working that help us to make the online world a safer place for everyone.
The Experimentation team at 1Password is responsible for evangelizing the use of data to learn from our users and make better decisions faster.
This role will be responsible for the foundations of experimentation at 1Password. This means being in charge of defining, measuring, and improving metrics that drive business outcomes, not just pulling data and answering questions.
This role will be responsible for:
1) Owning the end-to-end instrumentation and analysis for A/B testing
2) Solving unique problems for privacy-preserving experimentation
3) Making significant impacts in the growth of account acquisition, activation, and retention
4) Being a data advocate across the organization
The Experimentation team is brand new and starts with solid C-level sponsorship. We’re building a new function, which requires us to be ambitious yet realistic. And very scrappy. The starting mandate for the team is around user/account acquisition, so we’ll be working at the top of the funnel and (if we do well) expanding deeper into the product.
This is a remote opportunity within Canada and the US.
What we're looking for:
5+ years of analytics experience, data science, or equivalent applying quantitative, statistical, or ML to improve product growth & activation
3+ years of experience designing and assessing the impact of A/B experiments in a fast-paced team
Knowledge of research design and statistics: defining outcomes, creating test plans with sample sizes and minimum detectable effects, rigor in running tests to completion, analyzing and communicating results, and handling post-hoc investigations
Knowledge of statistical methods from the basics (proportional t-tests) through more advanced, like GLM, time series forecasting, bayesian estimation. When to use which, and when not to.
Fluency with data analysis programming languages (Python / R),
Expert fluency in SQL-based data manipulation - You can talk through how a query works through a window and across a join.
High level of comfort creating dashboards in Looker, Tableau, or comparable software
Reporting and communication - Have examples of being able to explain experiments to multiple audiences at various levels of technical understanding
Experience with a Growth team or building data products
Experience using pipeline/transform tools (like dbt)
Familiarity with best practices in data warehouse design, dimensional modeling, and ETL
What you can expect:
30 days - Seek to understand
Get familiar with data stack and team goals
Identify gaps in measurement
3 months - Start to contribute
Run and support experiments, ideally owning some from ideation through analysis
Work cross-functionally to equip the organization with the tools we need
Solved one major gap identified during the first 30 days
9 months - Scale and grow
Suggesting improvements in process and measurement, increasing experiment cadence/impact
Automating common flows and analyses to make life easier
Expanding experimentation with one cross-functional partner
What we offer:
We believe in working hard, and resting hard. We’re always looking for new ways to support our team members, but here’s a glance at what we currently offer:
Health and wellbeing
> 👶 Maternity and parental leave top up programs
> 👟 Wellness spending account
> 🏝 Generous PTO policy
> 💖 Company-wide wellness days off scheduled throughout the year
> 🧠 Complimentary Headspace membership
> 🩺 Comprehensive health coverage
Growth and future
> 📈 Employee stock option program for all full time employees
> 💸 Retirement matching program
> 💡 Training budget, 1Password University access, and learning sessions
> 🔑 Free 1Password account (and friends and family discount!)
> 🏦 A You Need A Budget membership
Flexibility and community
> 🤝 Paid volunteer days
> 🌎 Employee-led DEI&B programs and ERGs
> 🏠 Fully remote environment
> 🏆 Peer-to-peer recognition through Bonusly
You belong here.
1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love.
Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at [email protected] and we’ll work to meet your needs.
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Data Science Manager Monetization | Udemy |
Udemy is looking for a Data Science Manager for our growing Monetization Decision Science team. This team is a critical partner to the company’s overall Pricing and Promotions teams working on optimizing marketplace pricing to grow the business by delivering the right value to its customers.
Our Montenization Decision Science team relies on quantitative methods and business intuition, and utilize a combination of modeling, experimentation, and causal inference methods to drive pricing related decisions at Udemy.
Here Are Some Questions You Could Be Working On:
What is the right price for a course? When should we make price changes?
How does price sensitivity vary across different markets and course characteristics?
How often and when should we promote courses? What is the right level of discount?
How does pricing in our marketplace impact other lines of our business (e.g. B2B offerings)?
How can we balance between long term and short term effects of price changes?
Here Is What You Will Be Doing:
Be a subject matter expert and thought leader in the area of pricing and promotions
Partner with cross-functional leaders to shape the team’s roadmap and drive execution
Manage the day-to-day operations of the Monetization Decision Science team
Provide both technical and strategic guidance to team members
Develop end-to-end modeling solutions for price optimization, build and maintain relevant data pipelines and workflows
Lead experimentation and causal analysis (beyond standard A/B tests) to support pricing decisions and improve pricing models
Define metrics and build dashboards to track health of the pricing system
Proactively influence prioritization through data-driven insights
Effectively communicate and present to both technical and non-technical audiences
Build Udemy’s technical brand through talks, blog posts, and publications
We Are Excited About You Because You Have:
6+ years of relevant experience preferably in the pricing and promotions domain (or 4+ years with post-graduate education such as MS or PhD.) and a background in statistical/ML modeling, optimization, causal inference/econometrics, and experimental design
Ability to communicate effectively with non-technical stakeholders
Strong business and product intuition as well as judgment
Strong data storytelling and data visualization ability
Strong SQL ability and proficiency with 1+ programming languages (Python strongly preferred)
Familiarity with data pipeline building (e.g. in Hive, Spark) and workflow tools (e.g. Airflow)
Ability to work autonomously and has strong interest to take ownership and lead while effectively partnering with stakeholders.
Nice To Haves:
Experience with business intelligence tools (e.g. Looker, Chartio, or Tableau)
People leadership experience
About Udemy
Udemy is the world’s largest education platform with more than 30 million monthly visitors. Through our Consumer and Enterprise businesses, Udemy creates new possibilities for people and organizations everywhere by connecting them to the knowledge and skills they need to succeed in a changing world.
The Udemy consumer marketplace offers thousands of up-to-date courses in dozens of languages and provides the tools learners and instructors need to achieve their goals and reach their full potential.
For companies, Udemy Business (UB) offers an employee training and development platform with subscription access to thousands of courses, learning analytics, as well as the ability to host and distribute their own content. Our enterprise platform is among the fastest growing SaaS businesses in the world. UB has more than 10,000 customers and serves the majority of the Fortune 100.
We are proud to be recognized for our world class employee experience:
Business Insider SF: Best Places to Work Bay Area
Built In Colorado: Best Places to Work
Best Workplaces (Great Place to Work List): #1 in Turkey
Certified Best Place to Work: Dublin
Fortune: Change the World Company
Udemy is headquartered in San Francisco with hubs in Ankara, Turkey; Austin, Texas; Boston, Massachusetts; Mountain View, California; Denver, Colorado; Dublin, Ireland; Melbourne, Australia; New Delhi, India; and Sao Paulo, Brazil.
Vaccine Mandate (US Only)
Udemy is committed to keeping its employees, clients, and communities safe. Accordingly, we require all U.S. employees to be fully vaccinated against COVID-19 if their work requires them to come into a Udemy office or come into close contact with others. If you are unable to get vaccinated due to a medical condition, disability, sincerely-held religious belief, or as otherwise required by applicable law, we will consider requests for accommodation.
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Data Science Manager Consumer Products | Udemy |
Udemy is looking for a Data Science Manager for our growing Consumer Product Decision Science team. This team is a critical partner to the company’s product teams working on optimizing consumer engagement to grow the business by delivering the right value to its customers.
Our Consumer Product Decision Science team relies on quantitative methods and business intuition, and utilize a combination of modeling, experimentation, and causal inference methods to drive the product development process at Udemy.
Here Are Some Questions You Could Be Working On:
How do we incentivize instructors to produce new content types and learning experiences for our subscription product?
What user attributes and behaviors drive trial activation and renewals?
How do we assess the impact of the native mobile experience on learner engagement and retention?
How do we measure the overall health of the mobile experience for learners and instructors?
Here Is What You Will Be Doing:
Be a subject matter expert and thought leader in the domain
Partner with cross-functional leaders to shape the team’s roadmap and drive execution
Manage the day-to-day operations of the Consumer Product Decision Science team
Provide both technical and strategic guidance to team members
Design and analyze randomized controlled experiments and conduct ad hoc analyses
Define metrics and build dashboards to track the health of the product.
Proactively influence prioritization through data-driven insights
Effectively communicate and present to both technical and non-technical audiences.
Build Udemy’s technical brand through talks, blog posts, and publications
We Are Excited About You Because You Have:
6+ years of relevant experience (or 4+ years with post-graduate education such as MS or PhD.) and a background in statistical/ML modeling, optimization, causal inference/econometrics, and experimental design.
Ability to communicate effectively with non-technical stakeholders.
Strong business and product intuition as well as judgment.
Strong data storytelling and data visualization ability.
Strong SQL ability and proficiency with 1+ programming languages (Python strongly preferred).
Familiarity with data pipeline building (e.g. in Hive, Spark) and workflow tools (e.g. Airflow)
Ability to work autonomously and has a strong interest to take ownership and lead while effectively partnering with stakeholders.
Nice To Haves:
Experience with business intelligence tools (e.g. Looker, Chartio, or Tableau)
People leadership experience
About Udemy
Udemy is the world’s largest education platform with more than 30 million monthly visitors. Through our Consumer and Enterprise businesses, Udemy creates new possibilities for people and organizations everywhere by connecting them to the knowledge and skills they need to succeed in a changing world.
The Udemy consumer marketplace offers thousands of up-to-date courses in dozens of languages and provides the tools learners and instructors need to achieve their goals and reach their full potential.
For companies, Udemy Business (UB) offers an employee training and development platform with subscription access to thousands of courses, learning analytics, as well as the ability to host and distribute their own content. Our enterprise platform is among the fastest growing SaaS businesses in the world. UB has more than 10,000 customers and serves the majority of the Fortune 100.
We are proud to be recognized for our world class employee experience:
Business Insider SF: Best Places to Work Bay Area
Built In Colorado: Best Places to Work
Best Workplaces (Great Place to Work List): #1 in Turkey
Certified Best Place to Work: Dublin
Fortune: Change the World Company
Udemy is headquartered in San Francisco with hubs in Ankara, Turkey; Austin, Texas; Boston, Massachusetts; Mountain View, California; Denver, Colorado; Dublin, Ireland; Melbourne, Australia; New Delhi, India; and Sao Paulo, Brazil.
Vaccine Mandate (US Only)
Udemy is committed to keeping its employees, clients, and communities safe. Accordingly, we require all U.S. employees to be fully vaccinated against COVID-19 if their work requires them to come into a Udemy office or come into close contact with others. If you are unable to get vaccinated due to a medical condition, disability, sincerely-held religious belief, or as otherwise required by applicable law, we will consider requests for accommodation.
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Head Of Data Science Analytics | Yoco |
Yoco is on a mission to help the businesses of tomorrow get started, and get paid – be a part of the team that changes financial services in Africa. Curious. Data-driven. Purposeful. Sound like you? It sounds a lot like us too.
We are a fast-growing African technology company made up of over 350 team members globally. All with a bias for boldness, and a passion for simple, progressive solutions.
Founded in 2015, Yoco is now the payments provider for over 200 000 business owners and processes over $2bn annually.
Your home team at Yoco:
Over the past year, Yoco has invested in growing its Data team (+300% since 2020) and is looking for an experienced Data Science & Analytics (DS&A) leader to continue developing a world-class team which drives business impact. At Yoco, DS&A forms the tip of the data spear and leads business impact by building data products and surfacing actionable insights, enabled by strong technical collaboration with Data Engineering, Analytics Engineering and the Data Ops teams.
DS&A is organised in a hybrid manner, combining cross-functional decentralised teams that live close to the problem space and centralised teams focused on delivering innovative solutions across multiple business areas. You’ll have the opportunity to partner with senior leaders from across the business to drive critical decisions based on insights from data. You’ll also be able to build innovative data products that create value for our customers through delightful experiences. You’ll create a data culture, filled with hypotheses, experimentation and learning.
Responsibilities
This role is responsible for leadership in DS&A across the entire company. Alongside peers in Data Engineering, Analytics Engineering and Data Ops, this role will report into the Director of Data. There are two key responsibilities:
Develop and deliver the DS&A strategy
Identify opportunities for DS&A to contribute towards achieving the company strategy
Assess and prioritise projects and develop a roadmap to accomplish goals
Lead the implementation and roll-out of key projects and data products
Strategic insight delivery, narratives development and impactful communication
Be a thought leader within the business and set the bar for data quality
DS&A team capability development
Manage and support DS&A leads embedded across all areas of the business (including Commercial, Product, Operations, People and Finance)
Develop ways of working effectively for the DS&A practice area, both within embedded and centralised teams
Mentor, grow and develop the team
Recruit and onboard top performers and setting them up for success
Continuously improve the way that the team works
Ideal Candidate:
Background:
An experienced Data Leader with a proven track record of:
* Leading an area of 20+ Data Scientists, Analysts and Managers
* Developing and implementing data products at scale
* Deep experience within a particular domain, e.g. credit modelling, operations research, product analytics, risk modelling, or others.
* Broad experience across many domains, you are comfortable enough to give technical and strategic feedback to data teams on any business problem
Experience in working in either a growth-focused or technology organisation, ideally working together and collaborating with an engineering team, as well as other business stakeholders
Working knowledge of a modern data stack - including tools like Fivetran, Airflow, dbt, Redshift, BigQuery and Looker
General experience:
5+ years experience leading and developing technical team(s)
10+ years experience in a technical role as an analyst or data scientist
Strong communication and team-building skills
Demonstrated ability to create and drive technical and impactful roadmaps for the business, and lead seamless execution
You have built strong relationships with business leaders, e.g. COO, CTO, CFO, CPO, etc.
A technical background, bachelors degree in mathematics, computer science, statistics or similar field
Bonus points:
Experience in Fintech
Experience in emerging markets
Experience in technology scale-ups
What makes working at Yoco great:
Yoco is a business built on an agile foundation, and an evolving base of core lessons and principles. We like to refer to these as the Yoco Formula.
The Yoco Formula - how we create value.
The Yoco formula is a validated approach to work, and a set of behaviours that create maximum value for our customers and help us grow.
Core Values - Our way of working to create value & grow.
Stay Connected
Make Space to Explore
Keep it Simple
Master your Craft
Leadership Principles - How we show up, engage & treat each other
Get to know each other personally
Say what you think and challenge me directly
Be courageous and focus forward
Don’t let ego get in the way
To support this, we have built a role-based organisation where every individual is given the space to focus and develop their innate strengths. Everyone at Yoco has the opportunity to lead a project and become a specialist, enabling flexibility, collaboration and accountability at all levels. You will be working with a diverse, motivated and skilled team that will continuously stretch you as an individual. To learn more about our culture, go to our#YocoLife page or subscribe to our Exposure Gallery.
Join us on a meaningful journey at Yoco, and help enable our merchants to thrive through Open Commerce!
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Senior Data Scientist Risk Credit | Yoco |
Please note that as this is a remote based position, we are open to applications from candidates based throughout the UK and EMEA region.
Yoco is on a mission to help the businesses of tomorrow get started, and get paid – be a part of the team that changes financial services in Africa. Curious. Data-driven. Purposeful. Sound like you? It sounds a lot like us too. We are a fast-growing African technology company made up of over 350 team members globally. All with a bias for boldness, and a passion for simple, progressive solutions.
Founded in 2015, Yoco is now the payments provider for over 200 000 business owners and processes over $2bn annually.
The Risk team is the sword and shield in an ever-changing, quickly-advancing technological landscape. The team protects Yoco and its merchants from unscrupulous and fraudulent behaviour, with transaction volumes increasing rapidly. The Credit (Capital) team offers our merchants an innovative cash advance product with unique repayment terms to help them grow their businesses.
As Yoco grows, the risks in trading also evolve and we need to stay one step ahead. The Capital product adjusts to our merchants’ needs. Data plays a key part in this evolution, infusing processes with intelligence, identifying areas at risk of exploitation and proactively planning for growth, rather than simply reacting to it.
Your objective will be to apply your skills and experience, in collaboration with various teams within the area, in support of building smart, scalable, robust and data-driven fraud detection and prevention processes and credit risk modelling and analysis.
We are looking for a data-driven, structured, analytical thinking Data Scientist to help us unlock Yoco’s growth efforts and support in making Yoco a great place to work by unlocking and driving actionable insights and building out the data-driven decision making within the Risk space.
You will report directly to the Data Lead within Risk and Credit; and your role has the opportunity for collaboration across multiple teams across the company. This role is embedded within the Risk and Finance areas.
The Data Scientist we are looking for is a strong all rounder with practical experience in Statistics, Analytics and applied knowledge in Predictive Modelling, Forecasting and ideally Credit & Fraud modelling.
ROLE | WHAT YOU WILL BE DOING?
Yoco is growing quickly! This means the needs of our customers are also quickly changing and expanding. We aim to continually improve the quality of our offerings to merchants and assist them in their journey to grow and thrive.
You would assist us by building methodologies and frameworks to detect and prevent fraudulent activity through Yoco’s platforms. You will also assist in providing a seamless and responsible experience for customers of our Capital offering, as we manage risk while optimising access to credit.
This role is responsible for and will assist with structuring source data systems for accurate fraud reporting and developing predictive modelling for fraudulent transactions. The role is also responsible for and will assist with partnering with Product teams to implement data driven recommendations to manage credit risk and building models to quantify credit default risk for the Yoco Capital portfolio of products.
Key responsibilities:
An experienced Data Scientist with a history of working in a growth-focused or technology organisation, ideally working together or collaborating with the finance, risk, data teams and other business stakeholders.
Comfortable with a variety of Data Analytics tools and platforms from cloud platform databases, SQL, Python, R and front-end tools e.g. Looker, Tableau and Mixpanel. We use Redshift and Looker extensively in this environment.
Proven track record in creating and deployment of Data Science initiatives.
Experience with a variety of Data Science frameworks such as, but not limited to: TensorFlow, Scikit-learn, Keras, Pandas, PyTorch, Numpy.
A strong analytical thinker with a penchant for problem solving and track record of delivering results from deployed solutions, which create business relevant insights.
IDEAL CANDIDATE | WHAT WE ARE LOOKING FOR?
Education:
Degree in Comp Sci/ Applied Maths / Maths / Stats is encouraged (strong work experience can fill this gap)
Background:
5+ years in a Data Scientist role.
Experience with building and deploying models in first or third party fraud, credit risk and optimisation, other business-focused predictive analytics.
Proven track record in creating and deploying Data Science initiatives with experience deploying code suitable for production.
Experience working with engineers, business and data teams to solve complex problems
Strong analytical experience with ability to provide recommendations, answer questions and provide insights to maximise the value of data across the business.
Experienced in Python, R and SQL.
The Yoco Formula:
The Yoco formula is a validated approach to work and a set of behaviours that create maximum value for our customers and help us grow.
Core Values - Our way of working to create value & grow
Stay Connected
Make Space to Explore
Keep it Simple
Master your Craft
Core Behaviours - How we show up, engage & treat each other
Get to know each other personally
Say what you think
Be courageous and focus forward
Don’t let ego get in the way
To support this, we have built a role-based organisation where every individual is given the space to focus and develop their innate strengths. Everyone at Yoco has the opportunity to lead a project and become a specialist, enabling flexibility, collaboration and accountability at all levels. You will be working with a diverse, motivated and skilled team who will continuously stretch you as an individual. To learn more about our culture, subscribe toExposure Gallery
Join us on a meaningful journey at Yoco, and help enable our merchants to thrive through Open Commerce!
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Data Scientist Customer Operations | Yoco |
Please note that as this is a remote based position, we are open to applications from candidates based throughout the UK and EMEA region.
Yoco is on a mission to help the businesses of tomorrow get started, and get paid – be a part of the team that changes financial services in Africa. Curious. Data-driven. Purposeful. Sound like you? It sounds a lot like us too. We are a fast-growing African technology company made up of over 350 team members globally. All with a bias for boldness, and a passion for simple, progressive solutions.
Founded in 2015, Yoco is now the payments provider for over 200 000 business owners and processes over $2bn annually.
We strive to delight our customers. The Customer Operations team are on the frontlines, engaging directly with our merchants every day. As Yoco grows, the ways in which we serve our merchants needs to evolve alongside. Data plays a key part in this evolution, infusing processes with intelligence, identifying areas of poor experience and proactively planning for growth, rather than simply reacting to it.
Your objective will be to apply your skills and experience, in collaboration with various teams within the area, in support of building smart, scalable, delightful and data driven operations.
We are looking for a data-driven, structured, analytical thinking Data Scientist to help us unlock Yoco’s growth efforts and support in making Yoco a great place to work by unlocking and driving actionable insights and building out the data-driven decision making within the Customer Operations space.
You will report directly to the Data Lead within Customer Operations; and your role has the opportunity for collaboration across multiple teams across the company. This role is embedded within the Customer Operations area.
The Data Scientist we are looking for is a strong all rounder with practical experience in Statistics, Analytics and applied knowledge in Predictive Modelling, Forecasting and Capacity planning.
IDEAL CANDIDATE | WHAT YOU WILL BE DOING?
Key Responsibilities
Yoco is growing quickly! We’d like to continuously improve the quality of our Customer Support and ensure the team is well resourced in alignment with our growth initiatives. You would assist us by building a framework for accurately assessing workforce capacity to enable efficient and optimal planning of team resources.
We care about our Customers' experience, and are constantly looking to improve. The modelling of sentiment data in a way that enables us to effectively manage the skills and training requirements across our support teams will help to ensure we’re staying one step ahead.
Did we mention that we are growing quickly? With rapid growth, comes interesting challenges in managing inventory, so establishing a forecasting model in support of stock management to programmatically drive order behaviour is key to enabling success within our Supply Chain & Fulfilment area.
IDEAL CANDIDATE | WHAT WE ARE LOOKING FOR?
Background:
An experienced Data Scientist with a history of working in a growth-focused or technology organisation, ideally working together or collaborating with the customer support/success team, data teams and other business stakeholders.
Comfortable with a variety of Data Analytics tools and platforms from cloud platform databases, SQL, Python, R and front-end tools e.g. Looker, Tableau and Mixpanel. We use Redshift and Looker extensively in this environment.
Proven track record in creating and deployment of Data Science initiatives.
Experience with Data Science frameworks; Scikit-learn, XGBoost, Facebook Prophet, PyTorch and with Time Series Forecasting.
A strong analytical thinker with a penchant for problem solving and track record of delivering results from deployed solutions, which create business relevant insights.
Education:
Degree in Comp Sci/ Applied Maths / Maths / Stats is encouraged (strong work experience can fill this gap)
General Experience:
5+ years in a Data Scientist role.
Experience with building and deploying models for forecasting and workforce capacity management.
Proven track record in creating and deploying Data Science initiatives with experience deploying code suitable for production.
Experience working with engineers, business and data teams to solve complex problems
Strong analytical experience with ability to provide recommendations, answer questions and provide insights to maximise the value of data across the business.
Experienced in Python, R and SQL.
Bonus points/nice to have:
Experience with Salesforce CRM
Experience with Looker
THE YOCO FORMULA - HOW WE CREATE VALUE
The Yoco formula is a validated approach to work and a set of behaviours that create maximum value for our customers and help us grow.
Core Values - Our way of working to create value & grow
Stay Connected
Make Space to Explore
Keep it Simple
Master your Craft
Leadership Principles - How we show up, engage & treat each other
Get to know each other personally
Say what you think and challenge me directly
Be courageous and focus forward
Don’t let ego get in the way
To support this, we have built a role-based organisation where every individual is given the space to focus and develop their innate strengths. Everyone at Yoco has the opportunity to lead a project and become a specialist, enabling flexibility, collaboration and accountability at all levels. You will be working with a diverse, motivated and skilled team who will continuously stretch you as an individual. To learn more about our culture, go to our#YocoLife page or subscribe to our Exposure Gallery
Join us on a meaningful journey at Yoco, and help enable our merchants to thrive through Open Commerce!
Please note…
Yoco encourages applicants from diverse backgrounds to apply. Open positions at Yoco are competitive and we often receive high volumes of applicants. If you have not received further updates on your application after three weeks, you’re welcome to request feedback.
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Senior Data Scientist | Reify Health |
Our unique, rapidly growing data streams are enabling unique opportunities to manage clinical trials more efficiently and predictably. The Data Science & Analytics division is looking for a talented Senior Data Scientist who can help us understand and predict patterns to help research sites and their sponsors plan and manage clinical trials more effectively. If you are empathetic, business-driven, and want to use your data science skills to make a tangible impact in the clinical research community then this may be the role for you.
As a Data Scientist at a fast-growing company, we're looking for people who can effectively balance rapid execution and delivery with innovative data exploration to serve the business most effectively. You have strong opinions, weakly held, and while well-versed technically and mathematically, know when to choose the right technique, for the right job, at the right level of complexity. You will work closely with our other Data, Product, Engineering, and Design groups to help turn targeted R&D around modeling patient, site, sponsor, and clinical logistics behaviors into solutions that can be used to practical benefit.
What You'll Be Working On
Exploring rich historical data from sites, sponsors, and other stakeholders and using it to develop models to help our sponsors make more effective study planning, logistics, and and enrollment management decisions as early as possible
Working with our Data Products division to turn your insights and models into enterprise-ready recommendation systems and other intelligent features for our users
Supporting ways to make protocol feasibility assessments more efficient for novel studies
Becoming intimately familiar with HIPAA, GDPR, and other applicable regulatory and privacy frameworks and how they influence our analytical and model development decisions
Regularly communicating your efforts to the Data Science Lead, Director of Analytics, Head of Data, and other technical/non-technical stakeholders in clear written, verbal, or presentation form
Living our data philosophy, which focuses on ethical decision making, being aware of how biased data (and assumptions) can affect results (and, more importantly, people), and being laser-focused on business needs
What You Bring to Reify Health
At least 5 years of professional work experience in an applied data science role dealing with regulated health or clinical data (or a similar highly regulated dataset)
Expertise in several techniques such as (but not limited to): Bayesian statistics and modeling, linear/nonlinear regression, linear optimization, mixed integer programming, supervised/unsupervised learning, expert systems, network analysis, and neural networks
Deeply understands not only how to use a technique but why it is or is not appropriate in a given situation, with available data, and for specific business needs
Familiarity (or ability to become familiar) with privacy-preserving or identity protecting techniques and ways to discern bias in models that may impact recommendations regarding diverse and underserved populations
Expertise in Python and/or R (Clojure welcome too!), and deep familiarity with corresponding analytics, visualization, and data processing libraries
Capable SQL skills and ability to navigate and work with data from a variety of internal and external databases (e.g. Postgres), geospatial sources, APIs, and management systems
Understanding of the nuances of testing models and addressing scalability/accuracy of analytical processes in probabilistic systems
Advanced degree in computer science, data science, mathematics, statistics, or other related field
Relevant published or publicized professional or academic work such as open-source contributions, blog posts, or publications
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Data Science Lead | Reify Health |
Our unique, rapidly growing data streams are enabling unique opportunities to manage clinical trials more efficiently and predictably. The Data Science & Analytics division is looking for a talented Data Science Lead who can help us understand and predict patterns to help research sites and their sponsors plan and manage clinical trials more effectively. If you are empathetic, business-driven, and want to use your data science skills to make a tangible impact in the clinical research community then this may be the role for you.
As a Data Science Lead at a fast-growing company, we're looking for people who can effectively balance rapid execution and delivery with innovative data exploration to serve the business most effectively. You have strong opinions, weakly held, and while well-versed technically and mathematically, know when to choose the right technique, for the right job, at the right level of complexity. You will work closely with our other Data, Product, Engineering, and Design groups to help turn targeted R&D around modeling patient, site, sponsor, and clinical logistics behaviors into solutions that can be used to practical benefit.
What You'll Be Working On
Exploring rich historical data from sites, sponsors, and other stakeholders and using it to develop models to help our sponsors make more effective study planning, logistics, and and enrollment management decisions as early as possible
Working with our Data Products division to turn your team’s insights and models into enterprise-ready recommendation systems and other intelligent features for our users
Ensuring your team develops clean, reusable, and testable code and make use of existing data team libraries and modules.
Supporting ways to make protocol feasibility assessments more efficient for novel studies
Becoming intimately familiar with HIPAA, GDPR, and other applicable regulatory and privacy frameworks and how they influence our analytical and model development decisions
Regularly communicating your efforts to the Director of Analytics, Head of Data, and other technical/non-technical stakeholders in clear written, verbal, or presentation form
Living our data philosophy, which focuses on ethical decision making, being aware of how biased data (and assumptions) can affect results (and, more importantly, people), and being laser-focused on business needs
What You Bring to Reify Health
Minimum of 4 years in a data science-related leadership role with a successful track record of team execution at a growing company, ideally in a space similar to ours.
Demonstrated experience in Agile methodologies and ability to translate business goals into discrete, tactical execution plans while adapting to evolving technical and business constraints.
Expertise in several techniques such as (but not limited to): Bayesian statistics and modeling, linear/nonlinear regression, linear optimization, mixed integer programming, supervised/unsupervised learning, expert systems, network analysis, and neural networks
Deeply understands not only how to use a technique but why it is or is not appropriate in a given situation, with available data, and for specific business needs
Familiarity (or ability to become familiar) with privacy-preserving or identity protecting techniques and ways to discern bias in models that may impact recommendations regarding diverse and underserved populations
Expertise in Python and/or R (Clojure welcome too!), and deep familiarity with corresponding analytics, visualization, and data processing libraries
Capable SQL skills and ability to navigate and work with data from a variety of internal and external databases (e.g. Postgres), APIs, and management systems
Understanding of the nuances of testing models and addressing scalability/accuracy of analytical processes in probabilistic systems
Advanced degree in computer science, data science, mathematics, statistics, or other related field
Relevant published or publicized professional or academic work such as open-source contributions, blog posts, or publications
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Senior Data Scientist User Experience | Monzo |
We're looking for a Senior Data Scientist excited to help us revolutionise the way people manage their finances - understand how our customers use Monzo, and what we can do to better meet their needs. This person will help us improve discrete experiences, amplify the value we already provide for a new set of users, or identify totally new product opportunities. If you get excited about evaluating an experience, collaborating with multi-disciplinary teams and setting a product-wide strategy, this might be for you.
At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over five million customers in the UK. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.
We have a strong culture of data-driven decision making across the whole company - and want to embed this further into User Research, using quantitative and qualitative methods to drive how we hypothesise and improve about product development, growth hacking, and ongoing customer engagement.
As part of your role, you'll:
Identify opportunities for improving our user experience. To do this you’ll collect and analyse behavioural, experiment and survey data and support others to do the same.
Build new systems that help us better understand our user experience. You’ll create data pipelines to ensure we’re leveraging the wealth of data across monzo for research purposes, and identifying the metrics that will help us measure the usability of our product. You’ll work with others to put them in place where those metrics aren’t yet captured in the right ways.
Identify the root causes of wider customer experience issues. You’ll work with multi-disciplinary teams to bring together not just app data but brand insights, app reviews, satisfaction ratings and customer service data.
Using your view of the whole product, you’ll shine a light on the most important parts of the user experience for us to improve. To do that you’ll work with Product Managers, Product Designers, Marketeers, Engineers, Customer Operations and User Researchers and Data Scientists.
What’s special about data at Monzo?
Autonomy. We believe that people reach their full potential when you can remove all the operational obstacles out of their way and let them run with their ideas. This comes together with a strong sense of ownership for your projects. At Monzo, you will get full access to our data and analytics infrastructure. When you discover something interesting, there is nothing stopping you from exploring and implementing your coolest ideas.
Cutting-edge managed infrastructure. All our data infrastructure lives on the Google Cloud Platform, so you don't need to spend your time configuring or managing clusters, databases, etc. All of our infrastructure is designed so that we can have really high data quality, and spend most of our time using that data to support business decisions.
Automation. We aim to automate as much as we can, so that every person in the team can focus on the things that humans do best. As with all data science work, there’s some analysis and reporting, and as much as possible we encourage self-serve access to our data through Looker.
You should apply if:
What we’re doing here at Monzo excites you!
You're impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well
You're commercially minded and can put numbers into business perspective
You’re as comfortable getting hands-on as taking a step back and thinking strategically
You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
You're a team player whom your colleagues can rely on
You have basic SQL skills that allow you to write custom queries for data analysis
You have experience in conducting large scale A/B experiments
You’re customer oriented. You’ve analysed customer segments, discovered new opportunities, tracked goals or defined target user lists for surveys and you have an understanding of basic statistical concepts like statistical significance.
You bring people together. You collaborate with others to build shared understanding and prioritise actionable insights to get work on the roadmap.
Nice to haves:
You’ve helped companies tailor their products to different user groups by segmenting customers
You have experience improving customer metrics like Net Promoter Score and Customer Effort Scores
Our Process
Initial call with a Monzo Recruiter (30 min)
Initial call with a User Researcher or Data Scientist (30 min)
Task you can choose to take home or do as part of your “on-site” interview (30 mins)
Virtual "on-site" interview with 2-3 folks from User Research, Design, Data or Product teams
No brain teasers or trick questions!
Logistics
We can help you relocate to London & we can sponsor visas.
This role can be based in our London office or remotely within the UK
We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
Diversity and inclusion is a priority for us – if we want to solve problems for people around the world, our team has to represent our customers. So we need to attract the best talent and create an environment that supports and includes them. You can read more about diversity and inclusion on our blog
Equal Opportunity Statement
At Monzo, embracing diversity in all of its forms and fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone.
We're an equal opportunity employer. All applicants will be considered for employment without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity status or disability status.
#LI-NB2
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Senior Data Scientist Personal Banking | Monzo |
We're looking for a Product Data Scientist excited to help us grow the user base and deepen engagement in personal banking. You'll be responsible for helping us define, measure and meet our goals. You'll have a large scope, solving challenging and ambiguous problems to inform the strategy of what we build next.
At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over five million customers in the UK. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.
Our Product Analytics team's mission is to
Enable Monzo to Make Better Decisions, Faster
We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.
We work in a matrix structure, where you’ll be working day-to-day with the cross functional personal banking team (including designers, marketers, engineers, product managers etc.) but you’ll be part of our Product Data Team and reporting to a Data Science Manager so that you have the best of both worlds.
As part of your role, you'll:
Own the data for personal banking user experience and make this easily available to stakeholders of all levels across the company
Use your experience with A/B testing to design and structure experiments within personal banking that enable the teams to learn and iterate quickly
Use your commercial awareness to solve the problems with the greatest business impact and choose the right approach for your problem
Use your expertise to generate data insights to support the team to set and meet their goals
Actively explore the fundamentals of engagement with Monzo, to make sure we can plan and design product changes based on data
Find enjoyment in contributing to data across Monzo, by sharing your insights, contributing to our core data pipelines and proactively spotting opportunities for applications of your work in other areas of the business
What’s special about data at Monzo?
Autonomy. We believe that people reach their full potential when you can remove all the operational obstacles out of their way and let them run with their ideas. This comes together with a strong sense of ownership for your projects. At Monzo, you will get full access to our data and analytics infrastructure. When you discover something interesting, there is nothing stopping you from exploring and implementing your coolest ideas.
Cutting-edge managed infrastructure. All our data infrastructure lives on the Google Cloud Platform, so you don't need to spend your time configuring or managing clusters, databases, etc. All of our infrastructure is designed so that we can have really high data quality, and spend most of our time using that data to support business decisions.
Automation. We aim to automate as much as we can, so that every person in the team can focus on the things that humans do best. As with all data science work, there’s some analysis and reporting, and as much as possible we encourage self-serve access to our data through Looker.
You should apply if:
What we’re doing here at Monzo excites you!
You're impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well
You're commercially minded and can put numbers into business perspective
You’re as comfortable getting hands-on as taking a step back and thinking strategically
You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
You're a team player whom your colleagues can rely on
You have solid grounding in SQL and preferably Python
You have experience in conducting large scale A/B experiments
Nice to haves:
You have experience in product or growth analytics, preferably in a fast moving tech company
Logistics
We can help you relocate to London & we can sponsor visas.
This role can be based in our London office or remotely within the UK
We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
Diversity and inclusion is a priority for us – if we want to solve problems for people around the world, our team has to represent our customers. So we need to attract the best talent and create an environment that supports and includes them. You can read more about diversity and inclusion on our blog
The application process consists of a 30 min phone call with a recruiter, an initial call with someone from the team, followed by a practical written exercise and 2-3 video interviews. We promise not to ask you any brain teasers or trick questions.
_________________________________________________________________________________________________________________________
#LI-NJ1
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Senior Data Scientist Payments | Monzo |
We're looking for a Product Data Scientist excited to help us optimise payments for our users. Our payments teams allow users to save, spend safely and transfer their money to where they need it. They work on integrating with other banks, sending cards to users, processing card payments and building and maintaining our transfer infrastructure. They also run our savings marketplace which allows our users to pick a savings provider with terms and interest rates that suit them and manage their savings directly from their Monzo app. You’ll cover a large scope, helping us understand and improve the user experience and overall performance of our payments products.
At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over five million customers in the UK. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.
Our Product Analytics team's mission is to:
Enable Monzo to Make Better Decisions, Faster
We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.
We work in a matrix structure, where you’ll be working day-to-day with the cross functional payments team (including designers, marketers, engineers, product managers etc.) but you’ll be part of our Product Data Team and reporting to a Data Science Manager so that you have the best of both worlds.
As part of your role, you'll:
Own our payments data and make this easily available to stakeholders of all levels across the company
Use your commercial awareness to solve the problems with the greatest business impact and choose the right approach for your problem
Use your expertise to generate data insights to support the team to set and meet their goals
Actively explore the user journey and performance of payments to enable the team to provide a seamless experience to our users
Find enjoyment in contributing to data across Monzo by sharing your insights, contributing to our core data pipelines and proactively spotting opportunities for applications of your work in other areas of the business
What’s special about data at Monzo?
Autonomy. We believe that people reach their full potential when you can remove all the operational obstacles out of their way and let them run with their ideas. This comes together with a strong sense of ownership for your projects. At Monzo, you will get full access to our data and analytics infrastructure. When you discover something interesting, there is nothing stopping you from exploring and implementing your coolest ideas.
Cutting-edge managed infrastructure. All our data infrastructure lives on the Google Cloud Platform, so you don't need to spend your time configuring or managing clusters, databases, etc. All of our infrastructure is designed so that we can have really high data quality, and spend most of our time using that data to support business decisions.
Automation. We aim to automate as much as we can, so that every person in the team can focus on the things that humans do best. As with all data science work, there’s some analysis and reporting, and as much as possible we encourage self-serve access to our data through Looker.
You should apply if:
What we’re doing here at Monzo excites you!
You're impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well
You're commercially minded and can put numbers into business perspective
You’re as comfortable getting hands-on as taking a step back and thinking strategically
You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
You're a team player whom your colleagues can rely on
You have solid grounding in SQL and preferably Python
You have experience in conducting large scale A/B experiments
You have experience working in the payments domain
Nice to haves:
You have multiple years of experience in product or growth analytics, preferably in a fast moving tech company
Logistics
We can help you relocate to London & we can sponsor visas.
This role can be based in our London office or remotely within the UK
We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
Diversity and inclusion is a priority for us – if we want to solve problems for people around the world, our team has to represent our customers. So we need to attract the best talent and create an environment that supports and includes them. You can read more about diversity and inclusion on our blog
The application process consists of a 30 min phone call with a recruiter, an initial call with someone from the team, followed by a practical written exercise and 2-3 video interviews. We promise not to ask you any brain teasers or trick questions.
#LI-NJ1
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Senior Data Scientist | Kit Check |
Join us as we revolutionize the hospital pharmacy landscape!
Our mission is to wow customers with smart, elegant solutions that help healthcare providers increase efficiency, safety and visibility from manufacturer to bedside.
Our 'vibe' is start-up, but we already have over 700 customers who are tracking medications using our proven solutions. If you have a knack for making complex things simple and an interest in the practical application of artificial intelligence and IoT technologies, we have a place for you!
Kit Check is looking for a Senior Data Scientist to help us refine and grow our suite of healthcare data products to further the company's mission of "Medication Intelligence". Our hospital and pharmacy customers rely on us to keep their patients safe and their pharmacies running smoothly while delighting them with every release. By streamlining their pharmacy's daily routines with our RFID inventory management solution and reducing risk and enhancing their compliance with our controlled substance tracking platform, we're committed to improving medication management for our nation's healthcare providers, and our data operations and products are the backbone of our offerings.
The Opportunity
The central Data team is charged with driving the success of data science and analytics efforts at Kit Check by providing actionable insights, running predictive models, and building a core data infrastructure. We partner with cross-functional peers through all stages: identifying initial RnD projects, building and refining existing models, analyzing the impact of our efforts, and highlighting improvement areas. Ultimately, the team’s work strengthens Kit check and helps us move toward our suite of Medication Intelligence products. This is a fully remote (virtual) position and is a part of the central Data team.
You can expect to:
Formulate and lead data-driven projects geared toward furthering our medication intelligence strategy.
Produce and disseminate non-technical reports that detail the successes and limitations of each project.
Suggest ways in which insights obtained might be used to inform business strategies.
Partner with our product teams to achieve goals around existing controlled substances models predictions as well as data consumer experiences.
Collate and clean data from various entities for use by Junior Data Scientists.
Delegate to other Data Scientists, while monitoring the performance of newer Data Scientists and providing them with practical guidance.
Selecting and employing advanced statistical procedures to obtain actionable insights.
Cross-validate and test models to ensure their generalizability
Prepare models for production including improving automation and standardizations.
Stay informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant.
Play a lead role in proposing new predictive models through analysis of behavioral and transactional data.
Transform raw data into meaningful and impactful analysis characterized by strong data governance, technique transparency, and quality documentation.
Raise the skill level of the entire analytics team through the creation of outstanding work, mentorship, and the introduction of better practices, processes, and tools.
Serve as a liaison between engineering, data, and non-technical audiences. This includes critiquing requirements, informing roadmaps, assessing risk, and presenting during customer-facing meetings.
About you:
Qualified with a degree in data science, statistics, computer science, or similar.
Extensive professional experience at a minimum of two companies as a data scientist.
Proficiency in Python, including Jupyter notebooks, pandas, Scikit-learn, NumPy, SCIpy.
Master-level understanding of SQL.
Outstanding team leadership and mentorship abilities. Demonstrable history of conceiving and overseeing data-centered projects.
Experience working with ETL tools, e.g. Stitch/DBT, data pipeline products, and MPP data warehouses like Redshift, Snowflake.
Experience with Amazon Web Services.
Excellent verbal and written communication skills with an ability to advocate technical solutions to fellow scientists, engineering teams, and business audiences to inform business decisions.
Capacity to foster a healthy work environment that relies on teamwork between various data disciplines.
Prior track record of guiding product teams to identify high-impact opportunities, set meaningful goals against key outcomes, and drive decisions
Specializations in sophisticated analyses and regularly use statistical methods in your work.
Ability to break complex problems into narratives that are concise, actionable to express your recommendations.
Acted as a mentor, guiding others to make their own work better and more efficient
Track record of dealing well with ambiguity, prioritizing trade-offs, and delivering results in a very dynamic environment
Nice to have:
Master’s degree or Ph.D. in computer science, statistics, information systems, economics, mathematics, or similar
Multiple companies’ worth tenured experience working with large, complex datasets to create/optimize machine learning, predictive, forecasting, and/or optimization models.
Deep experience with both supervised learning methods (linear and logistic regression, time-series modeling, generalized linear models, decision trees, etc.) and unsupervised learning methods (K-means, clustering, etc.).
Experience with AWS Machine learning projects including Sagemaker.
What you'll get from us
Opportunity to build a data team culture within the organization and to shape a data team that has built an industry-leading product.
A strong voice in what we work on, how it works, and how we build it
Trust in your sense of ownership, estimations, and design decisions
A budget for training and career development
Coworkers you'll learn from and who are looking to learn from you
Opportunities to solve problems of scale, technical debt, and security to redefine what’s possible in medication intelligence
Our culture
Kit Check’s culture is built on collaboration and innovation. There’s room to grow and opportunities to take initiative. You will partner with sharp, motivated teammates looking to disrupt a massive industry—and have fun while doing it.
Interested?
If helping us define new data-driven medication intelligence products as well as improving products that have a great track record with our customers sounds like the opportunity for you, we'd love to talk!
This position is a remote position and open to applicants in the continental United States.
Why Kit Check?
We truly believe that where you work matters and we want happy employees. So join us on our mission – we intend to have a heck of a good time as we get there.
-Competitive salary
-Time off when you need it – unlimited vacation days!
-Generous insurance coverage
-401k program with a company match
-Employee stock options
-Fun, collaborative culture!
Equal Opportunity Employer Veterans/Disabled
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Sr Innovation Data Scientist | Allstate |
The world isn’t standing still, and neither is Allstate. We’re moving quickly, looking across our businesses and brands and taking bold steps to better serve customers’ evolving needs. That’s why now is an exciting time to join our team. You’ll have opportunities to take risks, challenge the status quo and shape the future for the greater good.
You’ll do all this in an environment of excellence and the highest ethical standards – a place where values such as integrity, inclusive diversity and accountability are paramount. We empower every employee to lead, drive change and give back where they work and live. Our people are our greatest strength, and we work as one team in service of our customers and communities.
Everything we do at Allstate is driven by a shared purpose: to protect people from life’s uncertainties so they can realize their hopes and dreams. For more than 89 years we’ve thrived by staying a step ahead of whatever’s coming next – to give customers peace of mind no matter what changes they face. We acted with conviction to advocate for seat belts, air bags and graduated driving laws. We help give survivors of domestic violence a voice through financial empowerment. We’ve been an industry leader in pricing sophistication, telematics, digital photo claims and, more recently, device and identity protection.
We are the Good Hands. We don’t follow the trends. We set them.
Job Summary:
Allstate Innovation helps drive Allstate’s future by identifying compelling business opportunities, developing selected opportunities into thriving businesses, and assisting Allstate businesses with meeting their innovation goals. We bring together skills in strategy, design, technology, and data science to create new products and businesses, focusing on emerging technologies, fast-growing startup market spaces, and highly impactful consumer problems. Examples of Allstate’s innovation successes in recent years include:
Exploration of AI risk assessment technologies that resulted in a new B2B big data venture, Arity – a startup with the backing of a Fortune 100 company
Exploration of emerging device (e.g. smart phone) protection space that resulted in $1.4B acquisition of SquareTrade Inc.
Exploration of digital protection space that resulted in $525M acquisition of identity protection company InfoArmor Inc.
Exploration of peer-to-peer space that resulted in a new P2P car sharing venture, Avail – a startup with the backing of a Fortune 100 company
Exploration of the future of consumer data and analytics that resulted in a series A investment in a leading Web3 startup, Inrupt, followed by joint development efforts
Job Summary (cont.)
Innovation projects typically feature cross-functional teams with expertise in Business Strategy, Product, Technology, and Design. We work in a variety of different spaces, industries, and emerging technology areas. Example areas of exploration include: AI/ML (incl. generative AI), future of automotive (EVs, autonomous vehicles), climate risks, and Web3 (de-centralized consumer data).
This role will join an Innovation team that is developing algorithms and models for a new generation of insurance products. As a Senior Data Scientist, you will work on models from pricing to underwriting, utilizing geospatial, actuarial, statistical, and machine learning methodologies. You will collaborate closely with multiple organizations across Allstate Enterprise to support key business goals.
Remote work opportunities are available. Sponsorship for CAS and CSPA exams is available for any candidates with an actuarial background.
Key Responsibilities:
Identify, understand and solve product/pricing problems by performing analysis that involves retrieving and analyzing both internal and external data.
Assist with analysis and implementation of changes to existing geospatial-based insurance products as well as the development of new class of personal risk products.
Perform collaborative product reviews that require analysis of trends, factors, issues, and emerging products/companies/technologies
Ability to drive for results, share and communicate findings, deal with ambiguity, wrangle data, solve problems, and draw conclusions in a less-structured innovation environment.
Ability to derive insights from small and large data sets, while communicating the limitations of the analysis.
Key Responsibilities (cont.)
Use best practices in statistical/modeling techniques to develop and maintain rating, economic, and other models as necessary and in consideration of business goals.
Provide tools, educate and support cross functional teams in the implementation of models and other decision-making support.
Support the development/ design of new plans, programs, processes, products up to moderate complexity, with minimal direction
Assist in the development of communication strategies and materials to support new plans, programs, processes, products; solicit input from stakeholders.
Relevant Experience
Bachelor’s degree required – preferably in related field of study such as actuarial science, math/applied math, statistics/applied statistics, economics, environmental science, or computer science.
Past experience with geospatial, satellite, weather, and other non-traditional to insurance datasets.
Understands economics of insurance; several years of experience with personal lines ratemaking and rating plans.
Working knowledge of insurance regulation and related business constraints.
Experience in using statistical and machine learning modeling techniques such as linear regression, logistic regression, GLM, GAM, GBM, etc.
Experience in the use of data sources and applications to conduct research.
Master’s or PhD in a quantitative field — math/applied math, statistics/applied statistics, economics, environmental science, or computer science.
Relevant Experience (cont.)
Strong technical knowledge, aptitude to learn, and curiosity.
Strong programming experience with Python preferred – R, SAS, Matlab or other scientific programming languages can be discussed
Working knowledge of using databases and SQL, Spark is a plus
Strong written and verbal communication skills including the ability to effectively collaborate with multi-disciplinary groups and all organizational levels.
High level organizational, decision making, and project management skills in order to handle multiple concurrent assignments.
Notes:
The preceding description is not designed to be a complete list of all duties and responsibilities. May be required to perform other related duties as assigned. Regular, predictable attendance is an essential function of this job.
Compensation offered for this role is $102,300.00-$140,025.00 per year and is based on experience and qualifications.
The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.
Good Work. Good Life. Good Hands®.
As a Fortune 100 company and industry leader, we provide a competitive salary – but that’s just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, you’ll have access to a wide variety of programs to help you balance your work and personal life — including a generous paid time off policy. For a full description of Allstate’s benefits, visit allstate.jobs/benefits/
Learn more about life at Allstate. Connect with us on Twitter, Facebook, Instagram and LinkedIn or watch a video.
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee’s terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.
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Data Scientist | Opportun |
POSITION OVERVIEW
We are looking for a passionate, curious and creative problem solver to be a Product Data Scientist, reporting to the Head of Data. Your role will be focused on democratizing product insights and using data to drive product strategy. If you're passionate about making a meaningful difference in people's lives in partnership with an agile, driven, and fun-loving team, we're excited to meet you.
RESPONSIBILITIES
Analyze user behavior and product usage to proactively identify opportunities for product improvements.
Design experiments to assess hypotheses.
Build dashboards to communicate data insights.
Partner with Product Managers to define product KPIs & priorities.
Deliver analysis in a format that can help drive business decisions by both executive leadership and partnering Product Managers
Continuously improve tracking and reporting processes to ensure high data accuracy & robust product understanding.
Build machine learning models to determine the drivers of member behavior, and predict future behaviors.
REQUIREMENTS
At least 3 years of experience in a related role.
Extensive hands-on experience with SQL and data visualization.
Able to develop quantitative analysis, ad-hoc reports, and models to derive meaning from raw data in order to influence product decisions and direction.
Strong communications skills and ability to present work to executive staff.
Self-starter with ownership attitude with an enthusiasm to work in a fast-paced, start-up environment.
Understand statistical principles (eg. statistical significance, sample size).
"The US base salary range for this full-time position is $120,000 - $145,000.
Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects a national minimum and maximum range for new hire salaries for this position. Within this range, individual pay is determined by work location and additional factors, such as job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range that meets your criteria during the hiring process.
Please note that the compensation range listed in this posting reflects only the base salary for this position and does not include other compensation elements or benefits.”
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Data Scientist | Prizepicks |
The Analytics Team is responsible for building and maintaining analytics tools and workflows to support the PrizePicks business across all departments - at the core of these operations is data and the insights driven from that data. PrizePicks is looking for a Data Scientist with 2+ years of experience to join our Data Science team. You will be working closely with other data scientists, reporting analysts, and cross departmental directors to test business flows, make business recommendations, and provide novel business insights to leadership focused on driving revenue growth, optimizing marketing efficiency and optimizing retention efforts.
What you’ll do:
Data cleaning operations, wrangling and visualizations.
Develop custom data models and algorithms to apply to data sets.
Selecting features, building and optimizing classifiers using machine learning techniques.
Develop processes and tools to monitor and analyze model performance and data accuracy.
What you have:
Advanced knowledge of machine learning, data analysis and statistical modeling.
Proficiency in statistics and statistical software applications, such as Python or R.
Experience working with relational databases such as PostgreSQL.
Data visualization and report building experience is a plus.
Exceptional analytical and problem solving skills.
Where you’ll live:
Anywhere in the US is fine but Atlanta would be preferred.
Benefits you’ll receive:
In addition to your great compensation package, company subsidized medical/dental/vision coverage plans and matching 401(k), we’ll shower you with perks including:
Break room with ping pong, endless snacks and in-office lunch once a week
Unlimited PTO to encourage a healthy work/life balance (2 week min required!)
Modern work schedule focused on getting the job done, not hours clocked
Workplace flexibility
Company and team outings, we encourage a tight-knit workplace
Generous Maternity AND Paternity leave (16 weeks!)
Annual bonus & stock options
Wellness program
Company equipment provided (Windows & Mac options)
Annual performance reviews with opportunity for growth and career development
#LI- DNI
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Staff Data Scientist Cashapp Compliance Engineering Technology | Square |
Company Description
It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay, to provide a better way to send, spend, invest, borrow and save to our 47 million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible. This is our mission, and it’s why working at Cash App means so much more than a job.
Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.
Check out our locations, benefits, and more at cash.app/careers!
Job Description
The Compliance Engineering & Technology Data team at Cash App detects and reports financial crimes activity on Cash App. We work globally with partners in Compliance, business, engineering, and product to guarantee we are providing a safe user experience for our customers while minimizing or eliminating bad activity on our platform.
We are leveraging Data Science as an integral part of our toolkit to fulfill our mission. As Cash App scales, we are monitoring billions of dollars in transactions across traditional payment and blockchain networks. We uncover and put an end to money laundering, suspicious, and illegal activities before they impact our users. We are looking for a Staff Data Scientist to join our fast growing team with the goal of identifying impactful problems worth solving, defining and tracking the metrics that measure the success of the team, communicating team progress to stakeholders and leadership, and providing deep dive analytical support to our partners and stakeholders as necessary.
This is an IC role, but the Staff level has additional leadership responsibilities that include envisioning, owning, and driving strategic roadmaps & priorities to completion by collaborating with cross functional stakeholders as well as mentoring & growing junior team members.
You will:
Define, build and track metrics that demonstrate health of the Compliance program.Track the impact of the data team in optimizing Compliance operations.Effectively communicate our work with team leads, cross-functional stakeholders and business leaders on a regular basis.Defining the Risk Based Framework followed by quantifying and tracking our platform risk over time.Modeling the cost to Compliance for new and significant Product Launches to aid in timely operational capacity planning.Implement and automate case volume forecasting to aid the annual and quarterly Operations capacity planning exercise.Own & deliver ad hoc analyses and deep dive investigations for poorly defined, but important business problems that aid in effective decision making.Build deep connections and trust with Compliance Operations, Compliance Analytics and Product teams, particularly the Health Abstraction.
Qualifications
You Have:
6+ years of advanced Analytics/Data Science experience in the technology industry.An MS or PhD degree in data science, quantitative sciences, statistics, computer science, operations research, business analytics, or a related technical field.Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc) as well as experience with common Python DS stack (numpy, pandas, matplotlib, plotnine etc.).Extremely strong written and verbal communication & presentation skills and an ability to build strong relationships and influence with business & product partners.Mentored and grown Junior Data Analysts and Data Scientists on the team.Have a curious, passionate, growth-oriented mindset.
Nice to Have:
Experience working with machine learning models.
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.
Zone A: USD $184,100 - USD $225,000
Zone B: USD $174,900 - USD $213,700
Zone C: USD $165,700 - USD $202,500
Zone D: USD $156,400 - USD $191,200
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Benefits include the following:
Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
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Data Scientist Lead Square F S | Square |
Company Description
Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together.
So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, offer buy now, pay later functionality through Afterpay, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale.
Today, we are a partner to sellers of all sizes – large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We’re building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.
Job Description
The goal of this team is to empower Square F&S org with data driven decision making, by defining and developing the metrics and KPIs (actual & forecasted) to track Square business against organizational goals. You will lead the data engineers in the team to build the required laying foundations.You are a self-starter and you are comfortable working cross-functionally with other teams across Square and enrich those relationships.
You will:
Partner with Square F&S org and be responsible for co-defining metrics & KPIs that will be used to track product’s performance by various GTM, product and other teams.Lead, coach and mentor a team of data engineers and build data driven culture in the team.Apply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning to research and produce insightsCoordinate and solve complex projects that extend beyond the traditional boundaries of product domains, analytics, and data scienceDevelop resources to empower data access and self-service so your expertise can be leveraged where it is most impactful
Qualifications
You have:
8+ years of analytics and data science experience or equivalentExperience building relationships to influence product partners with dataExperience leading cross-functional projects that depend on the contributions of others in multiple disciplinesExperience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn, defining frameworks for measuring success, and clustering user archetypesFamiliarity with data warehouse design and best practicesFluency with data, analytics, and visualization technologies (we use SQL, Looker, and Python)
Nice to have:
M.S or Ph.D. in a quantitative field (mathematics, statistics, or similar STEM field)Experience working with finance/accounting team on designing metrics to track company’s performance
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.
Zone A: USD $184,100 - USD $225,000
Zone B: USD $174,900 - USD $213,700
Zone C: USD $165,700 - USD $202,500
Zone D: USD $156,400 - USD $191,200
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Benefits include the following:
Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
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Senior Data Scientist Product Analytics | Gusto |
Gusto is looking for a mid-career data scientist with a solid grounding in statistics and data story-telling and a passion for product analytics.
About Gusto
Gusto is a modern, online people platform that helps small businesses take care of their teams. On top of full-service payroll, Gusto offers health insurance, 401(k)s, expert HR, and team management tools. Today, Gusto offices in Denver, San Francisco, and New York serve more than 300,000 businesses nationwide.
Our mission is to create a world where work empowers a better life, and it starts right here at Gusto. That’s why we’re committed to building a collaborative and inclusive workplace, both physically and virtually. Learn more about our Total Rewards philosophy.
About the Role
In this role you will work closely with other members of our Data Science team, as well as our Engineering, Product and Design partners to define and track product metrics, design customer-facing experiments and dive deep into our Payroll, Benefits and HR data to deliver impactful insights to our business partners.
Gusto’s Data Science team leverages Gusto’s rich dataset to guide product direction and decision-making. We operate full-stack, working closely with product managers to apply data insights to strategy and product decisions, conducting analyses, prototyping and deploying predictive models and statistical tools both for internal use and for our customers.
Here’s what you’ll do day-to-day:
Work closely with product groups to define, measure and report on core product and feature metrics, and to define standards and practices for how product groups work with data
Perform in-depth analyses of our Payroll, Benefits and HR product data to inform and guide product direction and strategy
Design and analyze customer-facing experiments
Work with our business intelligence teams to turn your insights and analyses into clean and consistent reporting
Be a strong voice for a data-informed point of view within our engineering, product and design organization
Collaborate with UX research to design surveys and provide quantitative insights on customer experience
Here’s what we're looking for:
We love meeting people with different data backgrounds. For this Senior Data Science role, we are looking for at least 5-10 years experience working with large-scale data. This could mean either a MS or PhD in a quantitative field with at least 3 years experience in a business environment, or BS or Data Science Bootcamp graduate with at least 5 years of experience working as a data scientist in a business setting.
Strong SQL skills, and be comfortable in at least one scripting or statistical programming language (ideally Python and/or R)
Strong knowledge of statistics and experiment design and ability to apply these to conducting and interpreting analyses, data visualization, presentation and recommendations
Excellent communicator - able to effectively deliver findings and recommendations to non-technical stakeholders in a clear and compelling fashion
Be curiosity-driven and passionate about teaching and evangelizing a data-informed approach to product development to product managers, designers and engineers
Our cash compensation amount for this role is targeted at $133,000-$146,000/yr in Denver & most remote locations, and $161,000-$176,000/yr for San Francisco and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.
Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.
Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at [email protected].
#LI-Remote
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Senior Data Scientist Marketing | Twilio |
See yourself at Twilio
Join the team as our next Senior Data Scientist, Marketing on Twilio’s Segment product team.
Who we are & why we’re hiring
Twilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences.
Although we're headquartered in San Francisco, we have presence throughout South America, Europe, Asia and Australia. We're on a journey to becoming a global company that actively opposes racism and all forms of oppression and bias. At Twilio, we support diversity, equity & inclusion wherever we do business.
About the job
This position is needed to accelerate the growth and efficiency of our marketing efforts. Reporting to the GTM Data Science & Analytics Lead, this position will be working closely with various marketing partners to jointly drive improvements not just at the top-of-funnel, but across our sales motion and marketing landscape.
Responsibilities
In this role, you’ll:
Build and maintain robust and reliable internal data pipelines, which generate marketing datasets and power key metrics reporting and dashboards on topics such as marketing spend, campaign attribution, lead acquisition etc
Develop and deliver data modeling and predictive analytics solutions to Marketing and Sales stakeholders
Analyze marketing performance results to generate business insights, inform marketing strategy, and unlock potential value
Be part of a team of data scientists who work across the Go-to-Market functions, while collaborating with cross-functional teams including Data Engineering, Paid Marketing, Marketing Strategy and Operations, and Sales
Qualifications
Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
Required:
Strong business acumen and a deep sense of curiosity, with the ability to think creatively about both products and processes
Excellent communications skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives
Well-developed project management skills, with ability to skillfully balance competing interests
Expert level SQL skills and dashboarding skills in tools like Looker or Tableau; proficient in at least one programming language (such as Python or R)
Proficient with statistical analysis and machine learning techniques
Desired:
6+ years of experience working with data analytics and modeling, with at least 2+ years in the marketing domain
BS/MS in a quantitative or technical field
Familiarity with the tools in our current tech stack including dbt Cloud, Looker, Tableau, Salesforce, AWS Sagemaker, Apache Airflow
Location
This role will be remote but is not eligible to be hired in San Francisco, CA, Oakland, CA, San Jose, CA, or the surrounding areas.
Other Notes
*Please note this role is open to candidates outside of Colorado, California, New York, and Washington. The information below is provided for candidates hired in those locations only.
The estimated pay ranges for this role are as follows:
Based in Colorado: $120,160 - $150,200
Based in New York, Washington State, or California (outside of the San Francisco Bay area): $127,280 - $159,100
This role may be eligible to participate in Twilio’s equity plan. All roles are eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the state.
What We Offer
There are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now!
If this role isn't what you're looking for, please consider other open positions.
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Data Scientist | Carbon Direct |
Join us on the journey to get to net zero
At Carbon Direct, we dedicate our scientific, software, and business expertise to empower organizations around the world to take climate action.
Our Mission
Enable organizations to reduce, remove, and utilize their emissions with carbon science
We are a purpose-driven carbon management firm dedicated to helping organizations around the world reach their climate goals. We make carbon science accessible and actionable with our end-to-end platform.
Global citizens with global impact
Whether a scientist, developer, or carbon markets expert, we are united by our mission to take climate action now. We are experts in our fields and we act with confidence. Located across 4 countries and 10+ states in the U.S., we offer both remote-friendly work options and dynamic, in-person experiences with offices located in Seattle, WA and Oakland, CA.
Diverse backgrounds bring diverse perspectives
We recognize that teams with diverse backgrounds and different experiences are powerful. Bringing together a variety of perspectives only enhances how we can effectively address the climate crisis. Together, we are creating an environment where everyone is celebrated and anyone can succeed.
The Role
We are looking for a dynamic, entrepreneurial mid-career data scientist who understands the value of data in tackling the climate problem. The successful candidate will be a team player who can work creatively across carbon science, data science, and software engineering teams. The candidate should be an experienced modeler in the context of real-world environmental, ecological, or other climate/carbon-related topics. We are especially interested in lifelong learners, willing to learn new modeling techniques and work directly with new data types, including tabular data, GIS/remote sensing imagery, and electric grid system data. Strong communication skills and ability to articulate the insights derived from quantitative analysis are critical.
Responsibilities
Identify and explore key carbon-relevant data sets.
Preprocess (extract, clean and integrate) carbon-relevant data from multiple sources.
Build, calibrate, test and maintain analytic models including predictive machine-learning models for a range of climate-relevant applications (classification and regression; supervised and unsupervised).
Present results using data visualizations and clear verbal explanations.
Collaborate with the science team to enhance and extend existing quantitative modeling efforts.
Collaborate with software engineering and product teams to deploy trained models.
Qualifications
A PhD or M.S. in a carbon-relevant field (data science, forestry, soil science, engineering, biology, chemistry, physics, math, or other STEM fields) or a bachelor’s degree with extensive demonstrated relevant work experience.
Multiple years of experience in applied data analysis and machine learning.
Proficiency with data mining and preprocessing.
Fluency with GCP, Python, SQL and R. Familiarity with data science and machine learning libraries (e.g., pandas, TensorFlow, PyTorch, scikit-learn) a strong plus.
Familiarity with data visualization tools and libraries (e.g., Tableau, PowerBI, matplotlib).
Strong business-relevant quantitative analysis skills.
Willingness to learn novel analysis and modeling methods and work with a broad range of data types (tabular, natural language, remote sensing/imagery, power systems, etc).
Excellent ability to communicate insights from quantitative modeling.
High aptitude for collaborative, team-based data science work.
Orientation toward creative and efficient problem solving using data.
$135,000 - $165,000 a year
Benefits
While we love our work, our lives aren’t defined by it. At Carbon Direct, we offer a robust benefits package that considers the whole person, their partners, and their families – and we’re always looking to improve.
Our U.S. benefits* include:
Comprehensive nationwide medical, dental, and vision coverage. See a preview of our coverage here.
Time off as needed: Flexible vacation policy and ten company-wide holidays, plus annual winter break between Christmas and New Year's
16 weeks of fully paid parental and family leave with no tenure requirement
Remote-friendly work culture with annual company-wide retreats
Reimbursement for your work-from-home setup
*These benefits apply to U.S.-based employees only. Employees outside of the U.S. receive benefits that vary by country. To learn more, contact [email protected].
Equal Opportunity Employer
Diverse perspectives and experience enhance the way Carbon Direct selects and approaches the climate crisis, as well as the creativity and applicability of Carbon Direct's advisory and investment work.
Carbon Direct is an equal opportunity employer and does not discriminate on the basis of race, color, gender, religion, age, sexual orientation, national or ethnic origin, disability, marital status, veteran status, or any other occupationally irrelevant criteria. We adhere rigorously to our equal employment opportunity policies in connection with all employment decisions, including hiring, compensation and promotion.
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Sr Data Scientist | Flashpoint |
Sr Data Scientist
US-Remote
Our best employees are collaborative and selfless. They enjoy working on data but they prioritize mentoring and supporting others. They are involved in the full lifecycle of data science: understanding the problem, investigating the data, building the model, testing the model, testing the integration, deploying it to production, and monitoring the deployment. They are fully engaged in the problem domain.
We see it as a prerequisite that candidates possess and demonstrate a desire to lead from the front in improving a supportive, empathetic team; we expect candidates to be trusted and beloved by their teammates such that they become technical and emotional anchors for the rest of the team and department.
Flashpoint is the globally trusted leader in risk intelligence for organizations that demand the fastest, most comprehensive coverage of threatening activity on the internet. From bolstering cyber and physical security, to detecting fraud and insider threats, Flashpoint partners with customers across the private and public sectors to help them rapidly identify threats and mitigate their most critical security risks. Flashpoint is backed by Georgian Partners, Greycroft Partners, TechOperators, K2 Intelligence, Jump Capital, Leaders Fund, Bloomberg Beta, and Cisco Investments. For more information, visit https://www.flashpoint-intel.com/ or follow us on Twitter at @FlashpointIntel.
We have a role for you if
You have worked with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
You have mined and analyzed data from company databases to drive improvement of data products.
You have developed custom data models and algorithms to apply to data sets.
You have Used predictive modeling to enhance our products and data offerings.
You have coordinated with different functional teams to implement models and monitor outcomes.
You have developed processes and tools to organize and label data.
You have developed processes and tools to monitor and analyze model performance and data accuracy.
You have some exposure to
In-depth knowledge of Search Engines and Information Retrieval Systems.
Experience in second-pass ranking systems using deep learning and NLP technologies to improve initial search results retrieval.
Experience running A/B experiments to validate search improvements.
Experience working with deep and dark web data or other analysis of criminal or bad actor activity.
Experience using Web services, Data Warehouses, and Distributed Computing tools (Machine Learning APIs, BigQuery, Redshift, S3, Map/Reduce, Spark, etc)
Experience working with and creating data architectures with a focus on machine learning.
Experience visualizing/presenting data for stakeholders using: Looker, Metabase, Matplotlib, Periscope, Business Objects, D3, ggplot, etc.
What you will get to do on our team
Solve problems with an emphasis on product development.
Work on advanced statistical techniques (regression, properties of distributions, statistical tests and proper usage, etc.) and use statistical computer languages (R, Python, NumPy, SQL, etc).
Own machine Learning processes(Supervised/Unsupervised Learning, Deep Learning, Learning-to-Rank, NLP, etc.) and understand their real-world advantages and drawbacks.
Be an expert in designing, implementing, and validating models using ML/Deep Learning libraries such as: Tensorflow, Pytorch, Scikit-Learn, SparkML etc.
Gain experience with pre-trained models and fine-tuning (transfer learning).
Gain experience with NLP Models: Document classification, Document Similarity, Entity Extraction, Embeddings.
Communicate (written and verbal) across teams to explain model results to different stakeholders
Have the opportunity to learn and master new technologies and techniques.
Have an experimental mindset and MVP approach.
Be organized and exemplify your work ethic.
Have a humble attitude and persistence to learn and to Get Stuff Done Right.
What you will achieve
Within 30 days
You will have gained a general understanding of the company’s goals, how these translate to the different products, and how these are made possible or improved by ML. On the technical side, you have explored different Flashpoint datasets and the current state of the Data Science projects. You will have met all the teams involved in such projects. At the end of this period you will be able to start proposing new upgrades and improvements to the current ML efforts.
Within 60 days
You now have a deeper understanding of the current products, their involved teams, and the data process of inputs and outputs. You are familiar with the “raw” data available for ML, their particularities and nuances, their pre-processing, and output. Working with multiple stakeholders, a set of Search Relevance deliverables have been defined and the initial stages for their implementation are underway.
By 90 days
You have gained full confidence and now you are spearheading the Data Science efforts inside the company. You are providing assistance and relevant feedback to the multiple projects you are involved in or are related to ML. The Search Relevance improvements are now in an advanced developed state, if not fully deployed, they are in the final validation steps.
Salary: $140,000/yr - $180,000/yr plus bonus
Why Flashpoint is a great place to work
Diversity. Flashpoint is committed to fostering, cultivating and preserving a culture of diversity, inclusion, belonging, and equity. We recognize that diversity is key to achieving our vision. We believe that every person and their experiences contribute to building a work environment and a product that will change the world.
Culture and Belonging. Our company’s culture isn’t something you join, it’s something you build and shape, and each person's unique backgrounds and experiences contribute to who Flashpoint is and will become. You will have ample opportunities to connect with coworkers through various communication channels and company-funded events: dietary & allergy conscious catered lunches, book clubs, happy hours, committees and much more.
Benefits. We offer a competitive salary and benefits package, including unlimited PTO, 401(K), mental health and wellness benefits, commuter benefits, and generous parental leave policies.
Perks. Flashpoint understands that personal wellness is one of the keys to a happy, healthy and productive work environment. That’s why we also prioritize health and wellness perks like gym reimbursements and daily meditation, well-stocked kitchens, cool cultural initiatives and inclusive employee events.
Career Growth. Flashpoint is invested in the growth of our team members and understands that frequent, two-way feedback is critical to that growth. We encourage regular one-on-ones with your manager, a regular schedule of performance reviews, learning and development opportunities, and guidance through formalized career paths; whether that be towards being a great manager, being a great individual contributor, or a lateral move to gain breadth of knowledge and experience.
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Senior Insurance Data Scientist | Clearcover |
Our Value Proposition:
Clearcover is a venture-backed technology start-up disrupting the trillion-dollar legacy insurance market. We’ve focused on building products that create confident, happy customers - and we’re flourishing. We believe in putting our people first, paying them well, and working together to solve tough problems. If you’d like a high-growth opportunity with an award-winning company, let’s chat.
What are we looking for in a Sr. Insurance Data Scientist?
We're looking for a self-starter to help build and evaluate our pricing algorithms to enhance our risk segmentation. Working alongside our actuarial and insurance product management teams, you'll leverage statistical techniques to more accurately segment our customers and build new pricing features.
In addition to working on pricing algorithms and risk segmentation, you may also work at the forefront of developing analytical tools to improve the practice relating to predictive and prescriptive analytics.
What will you do as a Sr. Insurance Data Scientist?
Build and evaluate pricing and unit economic component models
Develop risk segmentation recommendations that find the right balance between growth and unit economics
Collaborate with the Insurance Product, Product, Marketing, and Machine Learning functional areas to attract the right customers at the right time
Democratize data and insights to facilitate data-driven decision-making
Develop predictive and prescriptive analytical tools and frameworks for Insurance Product
What will you bring as a Sr. Insurance Data Scientist?
3+ years of experience with applying advanced quantitative or predictive modeling techniques
Experience in Property and Casualty (P&C) insurance is required
Actuarial experience is a plus
Exceptional analytical, quantitative, and problem-solving skills with a deep intellectual curiosity and an ability to make data-based decisions
Strong programming skills with experience in SQL, R, and Python
Excellent communicator and willingness to challenge the status quo
Alignment with Clearcover core values
Did you know that women and minorities are less likely to apply to a position if they don’t match 100% of the job qualifications? Don’t let that be the reason you miss out on this opportunity! We encourage you to apply anyway. Don’t count yourself out!
But wait, there’s more:
As a people-first company, your health and well-being is a priority at Clearcover. We offer comprehensive benefits for individuals and families:
Medical. We offer rich and affordable BCBS plans for you and your dependents. If you select the high deductible health plan, we offer an HRA and contribute to your HSA
Dental and vision. We cover 100% of dental and vision premiums for you and your dependents
Pre-tax benefits, disability, and life insurance
401(k). We contribute 3%, even if you contribute nothing
We’ve also curated a stack of perks and benefits that stretch beyond the expected. Our people have access to:
Generous vacation, 12 paid holidays, and parental leave
Equity in the company (plus an evergreen plan) and an annual bonus program
Employee resource groups and mental health workshops
Top of the line hardware and meeting free “Focus Fridays”
We’re a remote first company, having paved the way for flexible work locations and continue to offer this flexibility. If you are local or in town visiting, you also have the choice to work from our Chicago HQ office.
Because we are a remote first company, we ask that your internet can keep up with our pace.
Remote employees are eligible to work from: AZ, CO, CT, FL, GA, IA, IL, IN, KS, MA, MI, MN, MO, NC, NJ, OK, SC, TN, TX, UT, VA, WI.
To top it all off, if Clearcover is available in your state, you could have access to an employee discount on auto insurance! Excited to learn more? Complete the application below!
Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identify and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.
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Staff Data Scientist | Securityscorecard |
About SecurityScorecard:
SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint.
Headquartered in New York City, our culture has been recognized by Inc Magazine as a "Best Workplace,” by Crain’s NY as a "Best Places to Work in NYC," and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of the World’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.” SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.
About the Role:
As a Staff Data Scientist, you will provide cutting-edge data science models, and expert insights for business challenges throughout the organization. You’ll partner with business stakeholders to define problems and develop models that impact our growth across all markets and products. You will partner cross-functionally across Finance, Customer Success, Sales, Marketing as well as Senior leadership.
This role requires a mixture of business acumen and technical expertise, along with an ability to build strong partnerships with business partners. You will take a leadership role in coaching and enabling your peers. Success in the role will require a self-starter with a passion for collaborating with others to solve problems. The ideal candidate will be an inquisitive learner with a passion for data science who can collaborate with stakeholders across functional areas while aligning to corporate objectives.
Responsibilities:
Partner with various business teams such as; Marketing, Finance, Customer Success, and Sales to deliver impactful Data Science solutions to understand our customers
Manage stakeholders through the lifecycle of data science projects from ideation to action.
Identify areas to evolve and improve the efficiency and effectiveness of existing data artifacts
Collaborate with members of the Customer Intelligence team to help drive data science strategy and analytics adoption across the organization.
Deliver a range of custom data science projects that may include churn modeling, customer propensity modeling, developing a customer health score, causal inference; customer lifetime value; share of wallet etc..
Provide clear visualizations and present analyses to Executive-Level Stakeholders, using Business Intelligence tools and predictive analytics to drive key decisions.
Participate in ad hoc projects around strategic initiatives.
Qualifications:
At least 6 years work experience in Data Science applications.
Exceptional ability framing Data Science solutions for business questions.
Strong proficiency with SQL and Python.
Experience building predictive models.
Strong business acumen and communication skills, ability to translate complex modeling into explainable business recommendations.
Exceptional visual storytelling skills.
Fast learner with high attention to detail.
Top-notch work ethic and ability to work independently and meet deadlines in a fast-paced environment.
Bachelor’s degree in Mathematics, Business, Economics, or related discipline required, MS preferred.
Benefits:We offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!
If you are a resident of Colorado, New York City, California, or Washington State, please email us at [email protected] to receive compensation information for this role.
SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law.
We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact [email protected].
Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law.
SecurityScorecard does not accept unsolicited resumes from employment agencies. Please note that we do not provide immigration sponsorship for this position.
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Vp Of Data Science | Securityscorecard |
About SecurityScorecard:
SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint.
Headquartered in New York City, our culture has been recognized by Inc Magazine as a "Best Workplace,” by Crain’s NY as a "Best Places to Work in NYC," and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of the World’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.” SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.
About the Role:
The Head of Data Science is a leadership role responsible for developing and the ongoing operation of the company's tools, technologies, and technical solutions leveraging data science, advanced analytics, machine learning, generative AI, and other algorithms. In addition, the VP of Data Science is responsible for the ongoing strategic advancement of the company's data science capabilities.
As the VP of Data Science, you will be responsible for defining the roadmap for your team and partnering with Product and Engineering to materialize those initiatives.
Responsibilities:
Partner with senior business, product, and engineering leaders to develop strategic goals and direction needed to continuously enhance the company's technology platforms
Be a technical leader for the data science team, helping institute best engineering practices (coding standards, automated testing, scalability) and grow the technical capabilities of the team
Ensure data best practices and play a critical role in building a data-driven culture throughout the entire organization
Partner with senior business, product, and engineering leaders to develop strategic goals
Partner with the technology leadership team to create a long-term vision and develop a roadmap of data science projects
Conceive, develop, implement, and continually improve machine learning projects
Leverage skills, experience, and creativity to apply data science to tackle interesting and challenging problems
Develop new capabilities to deliver business solutions by applying data science algorithms
Build and lead a high-performing team of data scientists, helping to enhance their skills while creating a fun and engaging culture that helps them prosper
Foster career growth and provide thoughtful mentorship to develop employees at varying levels of experience. Establish a clear vision and mission for the data science department
Work with cross-functional partners and executives in product, engineering, operations, finance, and marketing to define and achieve business goals and to build data-informed business strategies and roadmaps
Determine leveraging data science, machine learning, and other analytical techniques to improve product features and capabilities. Provide leadership on how to leverage data and data expertise to improve the customer experience
Develop analytical frameworks, models, roadmaps, and metrics for the team and broader organization
Serve as a champion for data science and informed decision-making at all levels of the company. Make analytical techniques approachable and understandable to non-data scientists
Lead the end-to-end planning and execution of all data analytics and sciences initiatives
Qualifications:
10+ years of advanced analytics or data science experience
Master’s degree in Computer Science, Statistics, Machine Learning, Mathematics, or any other related quantitative field
5+ years of management experience in leading data science teams with a successful track record in building teams, defining goals and overseeing execution
Proven track record of solving ambiguous and complex data problems at scale, strong quantitative modeling skills inclusive of machine learning
Strong interpersonal and communication skills. You are equally comfortable presenting to executives and peers as you are writing complex SQL queries
Business Acumen – Proven ability to apply data science capabilities to solve practical business problems
Product Sense - Understanding of a product planning process, ability to influence product strategies and roadmaps, strong collaboration skills
Expert level knowledge in predictive analytics, machine learning, and data mining
Proficiency in Python, Spark, Notebooks, AWS, Generative AI models, etc.
Data & ML Architecture – Experienced integrating data science applications into software products. Understands ML Ops (deployment/scalable infrastructure)
Has worked with data at scale and velocity
Mentor+Coach – A player-coach who can roll up sleeves, solve problems as a team, and facilitate the team’s success
Proven ability to attract, hire, develop, and retain exceptional talent
A dynamic, forward-thinking leader who will bring intensity and commitment to the business. A bias toward action, experimentation, and velocity
Benefits:We offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!
If you are a resident of Colorado, New York City, California, or Washington State, please email us at [email protected] to receive compensation information for this role.
SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law.
We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact [email protected].
Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law.
SecurityScorecard does not accept unsolicited resumes from employment agencies. Please note that we do not provide immigration sponsorship for this position.
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Data Scientist | Striveworks |
The Role
As a Data Scientist on the Striveworks Technical Engagements team you will be challenged—and trusted—on day one to be a core contributor to the projects and direction of the company. You will be a key Striveworks representative and solutions provider to project sites and customers where Chariot is deployed. You will be leading and working alongside a team of data scientists, software engineers, and site reliability engineers to transform machine learning models into functional products.
You will use your expertise to integrate and apply the Striveworks platform, and leverage it to rapidly prototype and deliver machine learning capabilities for our customers through custom algorithms and software. You will tackle real-world problems as they unfold, utilizing your technical expertise and communication skills to provide reliable and scalable solutions.
You are right for this challenge if you:
Value and possess technical expertise and you push the boundaries of your own capabilities;
Are outcome-driven, not requirements-driven, and appreciate creative problem solving;
Know that customer-facing activities, technical communications, and time management skills are all important;
Are passionate about the intersection of Data Science and operational needs.
This role both allows and requires flexibility in work location. At times, you will be tasked with on-site, sporadic travel to customer locations. At other times, you can be based in our Austin, Texas headquarters, or in a remote location.
Potential projects include:
Development of machine learning models and custom algorithms on image, video, text, geospatial, time-series, and/or tabular data sets
Orchestration and automation of complex data engineering and analytic pipelines
Implementation of and integration with modern event-driven and microservices architectures
Everything as Code
Implement and deploy production analytics into cloud environments
Opportunity to conduct mission-critical field work
The Right Fit
We spend a lot of time in our hiring process talking about shared values, because we passionately believe that fostering an environment where people can self-actualize and pursue greatness is the best way to achieve our individual and collective goals. What does this mean? We want an environment where our team members persevere relentlessly to achieve their goals. We want an environment where team members know the team has the same goals, and they make and accept decisions for the team with humility. If your say/do ratio is 1, if you know that there is no smartest person in the room, then we’re already on the same page.
Here's what else we are looking for:
Expertise in machine learning and data science
Expertise in modern analytic toolsets such as PyTorch, TensorFlow, Scikit-Learn, Pandas, NumPy, or similar.
Strong previous experience in building and delivering production analytics
Proficiency in algorithms, data structures, and design patterns
Proficiency in with Python
Exposure to DevOps tooling and best practices (e.g., Git, Docker, Kubernetes, CI/CD)
Familiarity with database design and architecture: relational and non-relational
Driven, self-directed personality
Strong sense of mission and commitment to making a difference
B.S. degree in mathematics, physics, engineering, machine learning, computer science, or a related discipline, machine learning, or a related discipline; and 4+ years relevant experience
Active Top Secret security clearance
Able and willing to travel up to 20% (project dependent; some projects require far less travel)
The Wish List
We are very interested in Data Scientists that possess the above qualifications, and heavily appreciate and consider the addition of:
Exposure to graphical user interface (GUI) design concepts
Experience with ETL pipelines, data pipelines, and/or workflow automation
Exposure to one or more cloud architectures
Understanding of JavaScript frameworks such as React, Vue, or Angular
Experience using RESTful or GraphQL APIs
Understanding of synchronous, asynchronous, and concurrent programming
Understanding of networked and distributed computing
Knowledge of messaging systems such as Kafka, RabbitMQ, or similar
The Tech Stack
We believe in constant curiosity and peer-driven learning. As a Data Scientist for Engagements at Striveworks, you will learn about— or teach— the latest software technologies and processes, participate in open-source projects, and take part in pair programming. You will be able to grow your skills in:
Python, PyTorch, NumPy
Docker, Kubernetes, Helm
React, Typescript, FastAPI
Flyte
Find some of our public projects at github.com/Striveworks.
The Benefits
Top-of-market salary and total compensation
Generous equity plan
Health/vision/dental insurance
Flexible PTO
Parental leave
Striveworks: Better Models, Faster
The world has looked to data analytics to bridge the gap between floods of data and the struggle to use that data effectively to make timely, impactful decisions. Today, most organizations are awash in analytics that “aren’t quite right”—models that were developed too generally, or too slowly, to be effective in dynamic, fast-paced environments. Striveworks is simplifying ModelOps with a powerful and extensible platform that instantiates the data analytic process as code.
Striveworks is trusted by leading Fortune 500 firms as well as leaders in the public sector as a primary solution for managing model development, monitoring, and governance—and ensuring those models solve the real challenges their organizations face.
Striveworks’ Chariot platform enables users to turn their own production data into models and turn models into production systems. Uniquely, as you train, test, deploy, and use models, our lineage system enables you to track not only the “upstream” provenance of model and data sources, but also the “downstream” usage of the resultant model inferences. Combining this with a principled experience for data and model development, Chariot gives our customers in highly regulated industries an unmatched governance solution over the top of a performant ModelOps platform.
Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor. Striveworks will not tolerate discrimination or harassment of any kind.
If you require assistance or a reasonable accommodation in the application process, please contact Operations at [email protected]
Striveworks is a participating employer in the E-Verify program.
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Principal Data Scientist Machine Learning | Rec Room |
Rec Room is the best place to build and play games together. Players can chat, hang out, play in millions of rooms, or build something new to share with the world! We have a vibrant commercial ecosystem within Rec Room, and our goal is to enable creators to be rewarded for their work. Come join us on the ground floor to help optimize the ecosystem for both players and the business.
As a Principal Machine Learning Data Scientist, you’ll be responsible for designing, developing, and implementing machine learning models to power our in-game store recommendations and serve users content that they’d find valuable. You’ll be supporting creators in making a living on the platform, as well as playing a critical role in the success of Rec Room as a business.
WHAT YOU'LL DO:
Design, develop and implement production-facing ML models to deliver valuable commerce content to our users.
Collaborate closely with the ML Infra team to define a roadmap that powers real-time personalized ranking models.
Design and run A/B tests, analyze model performance, and deep dive into the data to uncover opportunities for improvements.
Build out pipelines in collaboration with our Analytics Engineering team to enable model building on top of sophisticated features.
Set best practices, mentor, and provide guidance to the more junior Data Scientists.
WE ARE LOOKING FOR INDIVIDUALS WITH:
Master's or Ph.D. degree in computer science, statistics, mathematics, or a related field
10+ years of ML experience in a production setting, with extensive experience working on ranking/recommendations
Experience with recommendations, ranking, personalization, search, and/or content discovery
Strong proficiency in programming languages such as Python, R, and SQL
Deep familiarity with ML infrastructure to collaborate with our infra team
Extensive experience with experimentation.
dbt knowledge is a plus
Spark/Databricks knowledge is a plus
COMPANY INFO TO KNOW:
Rec Room provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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Staff Data Scientist Credit Card | Sofi |
The Role
We are seeking a Staff Data Scientist who will help shape our Credit Card business strategy and product development decisions through data-driven insights. This is an exciting role for someone to make a direct impact on new product strategy and revenue of SoFi. Success in this role hinges on your technical aptitude, quantitative abilities, and business acumen: you know how to plow through data with SQL/Python/R/Tableau, surface insights using math/statistics/ML techniques, and measure the business impact using efficiency/conversion/profit metrics. You treat stakeholders as a partnership – you are there at each step of the way and you know that we only succeed if we succeed together.
What you’ll do:
Build models to help decision makers understand customer behaviors and segmentation
Work with amazing product and business managers to identify strategic opportunities, measure KPIs to craft compelling stories, make data-driven recommendations, and drive informed actions.
Analyze segment performance at the portfolio level and by vintage to drive insights and optimization
Help drive customer engagement strategies including early stage engagement, balance transfers, spend programs, and retention
Help manage and analyze existing cardholder portfolio covering spend engagement, balance stimulation, and good payment behaviors
Craft, analyze, and present customer behavior metrics, such as funnel conversion, user churn, features engagement, product LTV, and cross-sell metrics. Work with product and marketing partners to design tests to improve these metrics.
Own end-to-end product analytics workflow including formulating success metrics, socializing them across the organization, and creating pipelines & dashboards/reports;
Run significance tests and continuously discover trends in customer behavior to inform decision making with a high level of confidence;
Present analyses to Credit Card and Finance business leaders.
What you’ll need:
M.B.A, B.S. or M.S. in Statistics, Economics, Engineering, Computer Science, Mathematics or a related quantitative field is required for this position;
Proven track record of end-to-end experience in building analytical frameworks to inform business strategy;
5+ years of experience working in an analytics, business strategy, or related role in the credit card industry;
Deep understanding of credit bureau data;
Knowledge and understanding of statistical and econometric modeling methods for significance testing and causal inference.
Ability to work in a dynamic, cross-functional environment, with a strong attention to detail;
Effective communication and presentation skills and ability to explain complex analyses in simple terms to business leaders;
Strong relationship building and collaborative skills;
Exceptional problem-solving skills;
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Senior Data Scientist Operations | Monzo |
📍Location | UK remote | Benefits
About us:
We’re here to make money work for everyone and we're doing things differently. For too long, banking has been obtuse, complex and opaque.
We want to change that and build a bank with everyone, for everyone. Our amazing community suggests features, test the app and give us constant feedback so we can build something everyone loves.
We're focused on solving problems, rather than selling financial products. We want to make the world a better place and change people's lives through Monzo.
About our Data Science Team:
We're looking for a Data Scientist for our Operations team excited to help build the bank of the future. You'll have the opportunity to work on an area that is the heart of how we enchant our customers and is full of data challenges: from optimising our systems, to experimenting with different app flows and working closely with Ops managers to understand the biggest opportunities for serving our customers!
At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over four and half million customers in the UK, with over 100,000 new people joining every month. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.
Our Product Analytics team's mission is to
Enable Monzo to Make Better Decisions, Faster
We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.
We work in cross-functional squads where every data scientist is a member of a central data discipline and either embedded directly in a product squad or working closely with the operations leadership team.
Your day-to-day
Guide and enable product teams to measure things that matter; design and analyse A/B experiments to keep improving everything we do; offer actionable recommendations to stakeholders
Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our products and how those insights can inform our product strategy
Help us understand how we can measure and optimise a system that handles thousands of queries a week. What product improvements can we make? How can we understand if these are impactful?
Liaise with engineers to keep making sure we collect the right data to produce relevant business insights
You should apply if:
What we’re doing here at Monzo excites you!
You're impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well
You're commercially minded and can put numbers into business perspective
You’re as comfortable getting hands-on as taking a step back and thinking strategically
You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
You're a team player whom your colleagues can rely on
You have solid grounding in SQL and preferably Python
You have experience in conducting large scale A/B experiments
The Interview Process:
Our interview process involves three main stages:
Initial Call
Take home task
Final interview including a case study and collaboration interview
Our average process takes around 2-3 weeks but we will always work around your availability.
You will have the chance to speak to our recruitment team at various points during your process but if you
do have any specific questions or want to talk through reasonable adjustments ahead of or during application please us at any point on [email protected]
What’s in it for you:
✈️ We can help you relocate to the UK
✅ We can sponsor visas
📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).
⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
📚Learning budget of £1,000 a year for books, training courses and conferences
➕And much more, see our full list of benefits here
If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.
Equal Opportunity Statement
We are actively creating an equitable environment for every Monzonaut to thrive.
Diversity and inclusion are a priority for us and we are making sure we have lots of support for all of our people to grow at Monzo. At Monzo, embracing diversity in all of its forms and fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2022 Diversity and Inclusion Report and 2022 Gender Pay Gap Report.
We're an equal opportunity employer. All applicants will be considered for employment without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity status or disability status.
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#LI-NB2 #LI-Remote
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Senior Data Scientist | Billtrust |
What You'll Do:
We are building the next generation of Data/Analytics and Machine Learning driven products and features for our B2B portfolio. We are looking for a Senior Data Scientist who understands and has executed the full Data Science & Machine Learning lifecycle to enable products and services. You will be able to engage with various functional SMEs to explore concepts, formulate exploratory analyses, develop models, and deploy production-grade ML Ops pipelines. You will have a strong handle on SQL, software engineering, statistical concepts, and Machine Learning tooling and infrastructure.
You can engage with various levels of SMEs (both Technical and Functional) to explain findings, build interactive demos/POCs to showcase concepts and take the concept to a production solution/product as ideas mature.
Collaborate with a variety of functional SMEs across various internal and external (product) domains to identify, explore and iterate on concepts to determine the feasibility and viability of solutions.
Formulate a systematic “funnel” methodology to efficiently iterate concepts via POCs, model benchmarking, data visualization, and explainability via Jupyter Notebooks/Streamlit POCs.
Design and Develop middleware/APIs for ML serving
Model building leveraging the latest techniques (Neural Networks as well as SciKitLearn)
Deploy models in a production-grade pipeline with proper monitoring (operational, data drift, etc)
Interface directly with product teams and SMEs to explore and iterate on funding and determine viability to productize. Explain findings to a non-technical audience. Strong communication skills are required.
As needed, lead other data scientists and team members to drive a highly efficient process with reusable assets to reduce overall time to model.
Coordinate with multiple internal and external teams and functions to build highly reusable data and UI/UX assets/components
What You'll Bring to the Team:
Bachelor’s Degree preferably in Computer Science, Engineering, or a similar discipline.
5+ years of foundational Data Science and Software Engineering experience supporting production-grade enterprise systems leveraging Python, and SQL.
3+ years experience with deep learning frameworks (Pytorch, Tensorflow) and LLM frameworks such as Langchain
1+ years experience with Generative AI multi-modal LLMs for both base foundational use as well as training of LLMs for specific domain-specific use cases
5+ years experience with a variety of Modeling techniques (classification, clustering, time series, tabular data, etc).
Experience working with cross-functional teams and junior data scientists, working with business stakeholders, and roadmap/project management.
Experience with K8s and containerized solutions is a plus.
Experience across structured and unstructured databases and data sets as part of data preparation/cleansing for exploratory and model analysis.
Familiarity with Docker/Kubernetes, Linux, Git, Jenkins, and modern CI/CD pipelines is a plus
Experience with Finance/Fintech space a plus
SALARY RANGE BELOW FOR COLORADO BASED APPLICANTS ONLY
Target Base Compensation: $148,000.00 - $185,000.00 (bonus offered in addition to base compensation)
Please note that the compensation information that follows is a good faith estimate for Colorado-based hires only and is provided pursuant to the Colorado Equal Pay for Equal Work Act and Equal Pay Transparency Rules. Billtrust intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience and location. We encourage you to apply and speak with our Talent Acquisition team to learn more about the total compensation package.
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Data Scientist School Of Medicine | Stanford University |
The Department of Ophthalmology at Stanford University School of Medicine is seeking a highly motivated, hard-working, and professional Data Scientist to facilitate research efforts in ophthalmology. The incumbent will be part of the Department of Ophthalmology: however, the position will be in a collaborative environment, engaging with other Stanford faculty and staff across multiple departments, including Biomedical Informatics, Research IT, and Research Informatics Center. The incumbent will work. With a combination of structured and unstructured (text, imaging) data from several sources, including Stanford鈥檚 STARR and STARR-OMOP clinical research databases, the ophthalmology IRIS (Intelligent Research In Sight) national clinical data registry, commercial and Medicare claims data, national survey data, and other sources.
The position will require a comfortable incumbent working with some independence; consulting with and advising investigators to refine research questions, define hypotheses and project objectives, design studies, and devise analysis plans; and working with project team members鈥攊ncluding clinicians, trainees, and other statisticians/informaticists鈥攖o implement analysis plans and publish findings. The incumbent must be proficient at balancing involvement in multiple simultaneous projects and prioritizing to manage competing priorities. The incumbent will work closely with others to interrogate databases to create analytic files, perform quality control and data cleaning, and manage and analyze data. The incumbent must be an excellent and timely communicator, able to present results in oral and written form to clinical investigators.
Duties include:
路聽聽聽聽聽聽 Collect, manage and clean datasets.
路聽聽聽聽聽聽 Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data.
路聽聽聽聽聽聽 Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements.
路聽聽聽聽聽聽 Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions.
路聽聽聽聽聽聽 Develop reports, charts, graphs and tables for use by investigators and for publication and presentation.
路聽聽聽聽聽聽 Analyze data processes in documentation.
路聽聽聽聽聽聽 Collaborate with faculty and research staff on data collection and analysis methods.
路聽聽聽聽聽聽 Provide documentation based on audit and reporting criteria to investigators and research staff.
路聽聽聽聽聽聽 Communicate with government officials, grant agencies and industry representatives.
* - Other duties may also be assigned
DESIRED QUALIFICATIONS:
- Strong background in machine learning, biostatistics, and bioinformatics
- Intellectually curious; willing and eager to learn new skills
- Experience with large datasets and database use
- Experience with analysis of real-world observational health data (e.g., electronic medical records, insurance claims)
- Manipulation and analyses of complex high-dimensional data
- Ability to perform careful data cleaning and preparation, including: identifying and handling data discrepancies, duplicates,
missing values, outliers, etc; developing cohorts of patients based on inclusion and exclusion criteria, such as those based on
billing code diagnoses, age or other demographics, length of follow-up, or other characteristics; creating new variables,
including coding relevant outcomes, combining sparse variables, normalizing/standardizing variables; merging datasets on
multiple key values; reshaping data from long to wide or vice versa as the befits the analysis needs; loading data into
analysis programs, saving data into different file formats
- Experience with at least 2 of the following: 1) Machine learning predictive models (gradient boosted trees, random forest
etc.); 2) Deep learning neural networks, transfer learning; 3) Hierarchical/multilevel modeling, propensity score
matching/weighting 4) Convolutional neural networks
- Experience with free-text data (e.g., natural language processing) is a plus, or else willingness to learn
EDUCATION & EXPERIENCE (REQUIRED):
Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering.
KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
路聽聽聽聽聽聽 Substantial experience with MS Office and analytical programs.
路聽聽聽聽聽聽 Strong writing and analytical skills.
路聽聽聽聽聽聽 Ability to prioritize workload.
CERTIFICATIONS & LICENSES:
None
PHYSICAL REQUIREMENTS*:
路聽聽聽聽聽聽 Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.
路聽聽聽聽聽聽 Occasionally use a telephone.
路聽聽聽聽聽聽 Rarely writing by hand.
* - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.
WORKING CONDITIONS:
Some work may be performed in a laboratory or field setting.
Additional WORKING CONDITIONS: May work extended or non-standard hours based on project or business cycle needs.
The expected pay range for this position is $64,480 to $93,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs.
Work Standards:
Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide,聽http://adminguide.stanford.edu.
Why Stanford is for YouImagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and聽unique perks聽empower you with:
Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak.
A caring culture. We provide superb retirement plans, generous time-off, and family care resources.
A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits.
Discovery and fun. Stroll through historic sculptures, trails, and museums.
Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more.
How to Apply:
We聽invite聽you聽to聽apply聽for聽this position聽by聽clicking聽on聽the聽鈥淎pply聽for聽Job鈥澛燽utton.聽To be聽considered,聽you聽must聽submit聽a聽cover聽letter聽and聽r茅sum茅 along聽with聽your聽online聽application.
路聽聽聽聽聽聽 Finalist must successfully complete a background check prior to working at Stanford University.
The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory for all duties, tasks, and responsibilities.聽 Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility.聽 Employees may also perform other duties as assigned.
Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.
|
Data Scientist University Libraries | Stanford University |
Stanford Libraries is seeking a full-time Data Scientist to join Digital Library Systems and Services. The Libraries values are rooted in a commitment of mutual respect, the idea that every member of the staff has something to contribute, and that learning is constant. We seek a team member who is ready to share their skills and perspectives.
About Stanford Libraries:
Stanford Libraries is a network of over 15 libraries with over 400 employees. We are committed to fueling teaching, learning and research across Stanford by acquiring, stewarding, and making available a robust collection, currently in excess of 12 million items. Everyone in the organization plays a vital role in fulfilling that objective. Our dedication to discoverability and information management also has us engaged in dynamic global partnerships. We are constantly building and strengthening our organization, and we recognize striving for excellence is a marathon and not a sprint. We are constantly trying to strike the right pace and admit there are times when we find ourselves at a fast jog. While we hope to always find candidates who fit within our organization, what we truly seek is someone who will add to our culture, our profession as well as the greater academic arena. We are invested in the success of our teams and the individuals who represent Stanford Libraries.
About the Position:
The Data Scientist supports the operations, services, and projects of Digital Library Systems and Services, the Stanford Libraries and its partnership projects. The Data Scientist applies their skills on library data in a variety of forms and systems, with the goal of powering, extending, and enhancing library services and the research enterprise at Stanford.
The Data Scientist role has multiple areas of focus:
Participate in Research Intelligence activities in support of investigating, analyzing, and characterizing the impact of Stanford research activities and outputs using a variety of data sources. Develop reports for the Stanford Office of Scholarly Communications, research groups, principal investigators, and funders.
Investigate and apply machine learnings techniques to library corpora and services. Apply data skills and techniques in the analysis of the Libraries’ body of archival data (descriptive and administrative) to inform the ongoing management of the data and processing required to prepare and load the data into new discovery environments and systems for archival collections. Support data-intensive operations for a host of other library data systems, including the Platform for Open Data (POD), FOLIO and the Stanford Digital Repository.
Support the production operations and services of the Digital Library of the Middle East (DLME), including the applications, workflows, systems, and tools that enable transformation and indexing of metadata from a variety of sources to the DLME web application for discovery and use by a global community of researchers. In collaboration with the DLME program stakeholders and curatorial advisory team members, conduct outreach to existing and prospective user communities as well as content contributors with the goals of expanding the volume of content in DLME and its use and impact in scholarly research.
Serve as a technical lead on Stanford Libraries’ Google Analytics, supporting the management and use of analytics data for a variety of use cases and users within the Libraries, including bibliographers, curators and selectors, digital library service managers, user experience designers, public services, technical services, and library management. Generate and maintain a library operational dashboard via Tableau or like services.
In this role, the Data Scientist interacts routinely with stakeholders with data service needs and collaborates on an ongoing basis with a team of project managers, service managers, and technical analysts to plan, organize, and support the work to deliver digital services. The Data Scientist also works along with software engineers and operations engineers to ensure operations and supporting infrastructure run smoothly, and to guide the development of system and service enhancements to meet the evolving needs of the immediate stakeholder community as well as the broader research community.
Technical tasks may include: scripting; data wrangling; data analysis; data extraction, transformation, and loading; data remediation. Functional tasks may include: responding to requests; creating and updating documentation; running reports; training users; project planning and reporting; troubleshooting and reporting issues; issue tracking and prioritization; testing system changes. The Data Scientist will also, under the guidance of senior management, capture and model/map business requirements, and work with business partners to understand directions and priorities to assure the delivery of quality solutions. They will also serve as project leader on small to medium-sized projects or on a portion of a larger project, as assigned. A combination of strong data science skills and an orientation to operations and customer service are needed to successfully fulfill the role.
Core Duties*:
● Serve as a lead on library data analysis and data science projects.
● Develop and apply algorithmic / data science approaches to library business, collection and service needs.
● Track and apply data science approaches.
● Operate and develop scripts, workflows, as well as supporting documentation and training materials.
● Collaborate with and support other team members managing projects and services or developing systems and data processing workflows.
● Communicate with a broad range of stakeholders.
● Act as a single point of contact between IT and the customer.
● Perform necessary business and system analysis to gather all pertinent data related to issues in production system, patches, upgrades, and enhancements.
● Collaborate with business partners to gather requirements and identify gaps between requirements and the application. Assist business partners with determining deliverables, creating system test plans, identifying test scenarios, managing user acceptance testing and conducting production roll out of resolution.
● Collaborate with developers on application specifications and system enhancements to ensure appropriateness of design and delivering resolution of issues; work with business partners to test and deploy resolution in a timely manner.
● Assist with initial determination of the feasibility of requests and ensure user requirements are thoroughly and accurately documented in accordance with standard techniques.
● Interact with team members, the user community, and others on an ongoing basis to ensure accurate identification and delivery of business requirements.
● Make formal recommendations, and write application specifications, including conversion, upgrade, and interface routines.
● Develop functional specifications to ensure compliance with system developmentlifecycle methods.
● Team up with business partners and developers to set realistic response time and/or deliverable expectations. Manage the implementation of the approved development in partnership with developers and business partners.
* - Other duties may also be assigned
The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.
MINIMUM REQUIREMENTS
Education and Experience:
Bachelor’s degree and eight years of relevant experience or combination of education and relevant experience.
Minimum Knowledge, Skills and Abilities:
● Strong capabilities in the following: scripting, data mapping, conversion, table structure knowledge, running and analyzing traces, configuration settings, page customizations, security updates, issues analysis and recommendations, running SQL queries, documentation skills, test scripts development, functional analysis,coordination of user acceptance and signoff, business process improvement, fit/gap analysis, requirements documentation and process flow charting, presentation of options and solutions facilitation.
● Strong understanding of the components of web applications.
● Strong understanding of the software development life cycle.
● Strong verbal and written communication skills.
● Ability to work effectively and collaboratively with minimum direction.
● Ability to establish effective, ongoing relationships with clients, staff and management.
● Ability to manage multiple competing priorities and work under pressure in high stress situations.
Other Relevant Knowledge, Skills, and Abilities May Include:
● Experience working in a variety of data manipulation and transformation applications and environments, including Traject, OpenRefine, and Airflow.
● Experience working with application programming interfaces (APIs).
● Experience working in a digital archives or digital library environment, creating, enhancing or transforming content and metadata.
● Knowledge of library metadata standards.
● Knowledge of machine learning techniques.
● A strong service orientation, with demonstrated experience working with customers to deliver products and services on time with a high level of professionalism.
Physical Requirements:
· Constantly perform desk-based computer tasks.
· Frequently sit, grasp lightly/fine manipulation.
· Occasionally stand/walk, use a telephone.
· Rarely writing by hand, lift/carry/push/pull objects that weigh up to 10 pounds.
* - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.
Working Conditions:
· Work extended hours.
Work Standards:
Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University’s Administrative Guide, https://adminguide.stanford.edu/ .
Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University’s research, teaching and clinical missions. We believe Stanford’s future success will be shaped by the diverse perspectives, unique experiences, and inclusive culture of its community.
This remote role is open to candidates anywhere in the United States. Stanford University has five Regional Pay Structures .The compensation for this position will be based on the location of the successful candidate.
The expected pay range for this position is $95,000.00 to $129,000.00 per annum.Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs.
Why Stanford is for You:
Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research into curing illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with:
● Freedom to grow. We offer career development programs, tuition reimbursement, and course auditing. Join a TedTalk, watch a film screening, or listen to a renowned author or global leader speak.
● A caring culture. We provide superb retirement plans, generous time-off, and family care resources.
● A healthier you. Choose from hundreds of health or fitness classes at our world-class exercise facilities. We provide excellent health care benefits.
● Discovery and fun. Stroll through historic sculptures, trails, and museums.
● Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more.
|
Data Scientist | Cloudflare |
About the department
Cloudflare is looking to build and grow our Business Intelligence team responsible for building large-scale enterprise data lake and EDW from different sources and enabling various product and business teams such as Marketing, Customer Support, Sales & Finance with key business dashboards/reporting, insights and recommendation models.
About the role
As part of this initiative, we are looking for a strong Data Scientist to join Cloudflare and help us drive predictive analytic insights and best practices at scale from the ground up. This is a high visibility role and success in this role comes from marrying a strong data & modeling background with acute product and business acumen to deliver highly strategic and compelling insights that accelerate our business growth and influence our product decisions within Cloudflare. This person will also play a crucial role in hiring and growing the data science team in Austin in a rapid manner.
What we look for: predictive modeling techniques, machine learning, model creation and deployment, storytelling and visualization, strong business & product acumen, cross-functional collaboration, creative problem solving, agile mindset 
What you'll do
Partner and align with business leaders, stakeholders, product managers and internal teams to understand the business and product challenges and goals and address them using predictive analytics in a globally distributed environment.
Understand data landscape i.e tooling, tech stack, source systems etc. and work closely with the data engineering team to improve the data collection and quality.
Understand business/product strategy and high-level roadmap and align analysis efforts to enable them with data insights and help achieve their strategic goals.
Strong audience focused presentation and storytelling skills focused on key takeaways in a crisp and concise manner.
Define, implement, and train statistical, machine learning, and deep learning models.
Use software engineering best practices to publish model scores/insights/learnings at scale within the company.
Ability to define and spot macro and micro levels trends with statistical significance on a regular basis and understand key drivers driving those trends.
Active role in hiring, growing, and mentoring the data scientist team in Austin.
Examples of desirable skills, knowledge and experience
M.S or Ph.D in Computer Science, Statistics, Mathematics, or other quantitative fields.
Minimum 3 years of data scientist experience with proven industry experience in a large scale environment (PBs scale & globally distributed teams).
Strong experience working with business functions such as Finance, Sales, and Marketing to build models and drive impactful business outcomes (eg: customer and revenue growth).
Minimum 2 years experience with a fast-growing SaaS business based company is preferred.
Strong experience in scientific computing using Python, R, or Scala.
Experience with Spark, SQL, Tableau, Google Analytics, Hive and BigQuery (or any other Big data/Cloud equivalent) etc.
Experience working with and processing structured, unstructured, and semi-structured data.  
Strong cross-functional collaboration experience with data engineering and data analysts teams within the function.
Proven track record of applying data insights and machine learning in order to address business needs and drive revenue.
Strong communication and presentation skills catered to different audiences within the company.
Capable of working closely with business, engineering, and product teams to ensure data initiatives are aligned with business needs.
Experience in hiring data scientists and establishing team best practices is preferred.
Compensation
Compensation may be adjusted depending on work location.
For Colorado-based hires and Washington hires: Estimated annual salary of $140,000 - $172,000
For New York City-based and California (excluding Bay Area): Estimated annual salary of $158,000 - $193,000
For Bay Area-based hires: Estimated annual salary of $166,000 - $202,000
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
 
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Staff Data Scientist | Vouch |
About Vouch:
Insurance... sounds slow, old-fashioned, and unexciting. Exactly. Insurance is broken, and it's failing fast-moving, innovative startups.
Vouch is a new, technology-first insurance company backed with $160M in funding from world-class investors. Like Stripe for payments or Brex for credit cards, Vouch is creating the go-to business insurance for high-growth companies.
We're doing this by making insurance fast, responsive, and focused on our customers -high growth and innovative companies. Instead of printed PDF applications and week-long waits, Vouch is building new technology to solve real problems, writing policies that actually cover relevant startup scenarios, and designing simple experiences in an otherwise frustrating industry.
What does a work environment look like at Vouch?
Vouch is a Virtual First Workplace with office locations in SF and Chicago. This role can be based anywhere in the U.S as long as you can work our Vouch core collaboration hours (8:30 am-2:30 pm Pacific Time.)
The Job:
As a Senior Data Scientist, you will play a critical role in driving our applied AI/ML strategy to optimize our commercial lines insurance operations. Your expertise in statistical modeling, predictive analytics, machine learning, and data mining will be essential to identify patterns, extract insights, and develop innovative solutions that enhance our underwriting, pricing, and risk management processes. By leveraging advanced data analysis techniques, you will contribute to maintaining our low loss ratios, improving efficiency of our sales, underwriting, and client servicing operations, and delivering value to our clients, employees, and investors.
Responsibilities:
Lead the development and implementation of data-driven solutions that improve our underwriting processes, pricing models, risk assessment, and client experience strategies.
Analyze large, complex datasets to identify patterns, trends, and potential client risk factors that align with our product offerings or could impact our loss ratios.
Apply statistical modeling and predictive analytics techniques to create models that enhance the accuracy and efficiency of insurance risk assessments and pricing decisions.
Collaborate with cross-functional teams, including actuaries, underwriters, data and infrastructure engineers, and IT professionals, to drive data-centric initiatives and foster a culture of data-driven, AI-enhanced decision-making.
Design and implement machine learning algorithms and artificial intelligence techniques to automate and optimize operational processes, such as prospect identification, policy assessment and evaluation, claims management and client insight presentation.
Provide guidance and mentorship to analysts and data engineers, promoting knowledge sharing and skill development within the team.
Educate and mentor functional leaders and peers in other departments on the potential applications of ML/AI technologies to their domains.
Stay up-to-date with industry trends, emerging technologies, and best practices in data science and insurance analytics to drive continuous improvement and innovation.
About you:
Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related field.
6+ years of experience as a Data Scientist, preferably in the insurance industry, with a focus on commercial lines.
Strong expertise in statistical modeling, predictive analytics, machine learning, and data mining techniques.
Proficiency in programming languages such as Python, as well as experience with data manipulation and visualization libraries.
Experience with large-scale data processing frameworks and databases (e.g., Snowflake, SQL, Vector DBs, Knowledge Graphs) is a plus.
Excellent problem-solving skills, with the ability to analyze complex datasets and derive meaningful insights.
Strong communication and collaboration abilities, with the capability to present technical concepts to both technical and non-technical stakeholders.
Leadership qualities and the ability to guide and mentor junior team members and more senior stakeholders and peers.
Nice to have:
Exposure to and passion for early-stage startups and/or high growth environments
A background in insurance or other regulated categories
Vouch provides a number of benefits to help you bring your best self to work:
Competitive compensation and equity packages
Health, dental, and vision insurance
Parental leave
Flexible vacation time (Unlimited PTO)
Wellness allowance ($80/month)
Technology allowance ($100/month)
Salary Range:
The pay range for this role is: $200,000 to $235,000 per year.
Our salary ranges are based on paying competitively for our size and industry and are one part of our total compensation package that also includes benefits and other perks. We also include stock options in all compensation packages and believe all Vouch employees should have the opportunity to become owners in the company.
Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, skill set, location, and business need. The base pay range provided is subject to change and may be modified in the future.
Vouch believes in putting our people first and building a diverse team is at the front of everything that we do. We welcome people from different backgrounds, experiences, and perspectives. We are an equal opportunity employer and celebrate the diversity of our growing team.
If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to [email protected]. #LI-Remote
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Data Scientist | Cresta |
Interested in defining how AI shapes the future of work? Cresta is on a mission to make every knowledge worker 100x as effective, 10x faster and 10x better. Cresta is focused on using AI to help the workforce, not replace them. Cresta uses our patented Expertise AI to uncover expert insights from every conversation and put those insights into action with real-time coaching during customer conversations.
We’re growing fast! Spun out of the Stanford AI lab and chaired by Google-X founder Sebastian Thrun, Cresta launched in 2020. Since then, we’ve grown revenue and our team by 300%! We’ve assembled a world-class team of AI and ML experts, go-to-market leaders, and top-tier investors and advisors including Andreessen Horowitz, Greylock Partners, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Porsche, Verizon, and Mutual of Omaha and we have been recognized as a startup to watch by Business Insider, Forbes, and Gartner to name a few. We have huge ambitions and are looking for stellar candidates who have an entrepreneurial mindset and are excited to use cutting-edge AI to solve real-world business problems.
As a Data Scientist, you will be responsible for owning and systematizing the way Cresta shows value to our customers, working across all aspects of our customer journey. If you enjoy solving problems faced by large enterprise companies, have world-class written and verbal communication skills, and love data analysis, building 0->1 solutions to problems, and external presentations, then we’d love to talk!
What You'll do:
Own and systematize a repeatable way to show value of Cresta for new and existing customers using standard statistical analysis methods (e.g. A/B tests) as well as product engagement and NLP techniques, all tied back to business outcomes
Design, create, and maintain self-serve internal tooling that can be used for communicating value and enabling others to answer questions
Analyze large corpuses of conversations using the latest research in NLP (e.g., LLMs): an example analysis might be "what are the key behaviors that top sales agents do that lead a sale?" and making that analysis repeatable to be used across different teams and customers
We're looking for someone who has:
Proficiency in Python, SQL, data visualization, and data storytelling, as well as standard NLP analysis and workflows
3+ years experience working with and analyzing large data sets to solve customer problems (Bonus: part of that with language/text data)
Strong knowledge of statistics and experimental design
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, neural networks, etc.) and their real-world advantages/drawbacks
The ability to communicate results clearly written, verbally, and via presentations to both internal and external executives and data-savvy teams
Bonus: an advanced degree in a quantitative field (e.g., Statistics, Sciences, Engineering, CS, Math)
Bonus: experience leveraging LLMs to solve real-world business problems in production
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Senior Data Scientist | Vail Resorts |
As a leading mountain resort operator with over 40 resorts in sixteen states and four countries. We exist to create an Experience of a Lifetime for our employees, so they can, in turn, provide and Experience of a Lifetime for our guests. We are looking for leaders, innovators, creators, and ambitious professionals to join our talented team. If you’re ready to pursue your fullest potential, we want to get to know you!
Many of our Corporate function teams can now live and work in any of the states in which Vail Resorts currently operates* – enabling flexible remote work alongside a commitment to building and maintaining strong culture both in person and virtually. If you’re ready to pursue your fullest potential, we want to get to know you. Find your purpose with us at www.vailresortscareers.com.
Job Summary:
The Data Science & Data Engineering team is responsible for using our internal data assets to deliver performant, scalable, and impactful data-focused solutions across the business! The team supports modeling initiatives in collaboration with our technology and business partners to enable strategic opportunities and guest facing initiatives.
As a Senior Data Scientist on the team, your goals will be to deliver increased performance of our existing portfolio of in-market models and to develop new solutions that support strategic initiatives across the business. To reach these goals, you will utilize our proprietary first party guest database that is unmatched by any other company in the industry and collaborate closely with your teammates and our business partners.
Job Specifications:
Shift & Schedule Availability: Full Time / Year Round
Outlet: Corporate
Other Specifics: Remote
The expected range is $111,900 - $151,320 + annual bonus
Job Responsibilities:
Deliver scalable machine learning solutions that positively impact marketing campaigns, operational excellence, and the guest experience
Own model development life cycle
Play a key role in driving model adoption and collaboration with stakeholders
Provide guidance and mentorship to junior team members and colleagues
Participate as a data science subject matter expert for strategic initiatives across the organization
Job Requirements:
At least 3-5+ years of hands-on data science experience
Advanced degree in a quantitative field (Computer Science, Statistics / Math, Engineering, etc.)
Demonstrated ability to design data-focused solutions that support business requirements while accounting for data availability and technical implementation considerations
Expert-level knowledge of the strengths and weaknesses of various machine learning algorithms and ability to evaluate model performance using appropriate metrics
Experience with productionizing machine learning models, model monitoring, and CI/CD
Strong communication skills including the ability to solicit requirements from and explain technical solutions to non-technical stakeholders
Eagerness to learn new skills and help others do the same
Advanced Python and SQL skills
The expected range is $111,900 - $151,320 + annual bonus. Actual pay will be adjusted based on experience.
The perks include a free ski pass, and a set of benefits including...
Medical, Dental, Vision insurance, and a 401(k) retirement plan
Hourly employees are generally eligible for accrued Paid Time Off (PTO), Extra Time Off (ETO) and Sick Time. Salaried employees are generally eligible for Flexible Time Off (FTO)
Paid Parental Leave for eligible mothers and fathers
Healthcare & Dependent Care Flexible Spending Accounts
Life, AD&D, and disability insurance
Reach Your Peak at Vail Resorts. At Vail Resorts, our team is made whole by the brave, passionate individuals who ambitiously push boundaries and challenge the status quo. Whether you’re looking for seasonal work or the career of a lifetime, join us today to reach your peak.
*Remote work is currently permitted from British Columbia and the 16 U.S. states in which we currently operate. This includes: California, Colorado, Indiana, Michigan, Minnesota, Missouri, New Hampshire, New York, Nevada, Ohio, Pennsylvania, Utah, Vermont, Washington State, Wisconsin, and Wyoming. Please note that the ability to work remotely, and the particulars related to such work, are subject to change at any time; and, accordingly, the Company reserves the right to change its policies and/or require in-person/in-office work at any time in its sole discretion.
Vail Resorts is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other status protected by applicable law.
Requisition ID 495042
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Senior Research Data Scientist | Coalition |
About the Role
As a Senior Research Data Scientist at Coalition, you will be responsible for measuring, understanding, and helping optimize Coalition’s usage of data for cyber insurance. You will use analytics, experimentation, and modern statistical techniques to help us understand and improve our cyber risk selection/reduction, pricing, and automation to grow our revenue in a safe and efficient manner.
Responsibilities
Lead cross-functional projects using quantitative analysis and advanced data modeling to discover insights that will guide strategic operational decisions and uncover optimization opportunities
Analyze large scale data for creation of risk signals to be used for insurance pricing and risk selection
Lead the design and delivery of data models, reporting systems, data automation systems, dashboards and performance metrics that support key product decisions
Analyze disparate data sources and synthesize into a narrative of what is happening in the data
Train and mentor junior employees
Contribute and grow the culture of data excellence on our team by bringing mature empathy, best practices, and processes to our organization
Skills and Qualifications
Bachelor's degree in Statistics, Economics, Mathematics or related technical field
5+ years of experience in related analytical, data science or consulting background
Understanding of and experience with experimental design and statistical methods
Experience working with data in Python, R and similar tools
Strong communication skills and ability to convey complex topics to non-technical audiences
Passion, drive, and a deep sense of responsibility. We build the systems that keep us and our customers safe!
Bonus Skills
Experience with cybersecurity data
Exposure to causal inference, and other advanced statistical methods to measure impact of initiatives
Perks
100% medical, dental and vision coverage
Flexible PTO policy
Annual home office stipend and WeWork access
Mental & physical health wellness programs (One Medical, Headspace, Gympass, and more)!
Competitive compensation and opportunity for advancement
Coalition’s individual pay is determined on several factors, including but not limited to, location, level, skills and experience. The US base salary range for this full-time position is $125,000 - $205,000, and your recruiter can share more on target salary for your location during the interview process.
#LI-Remote
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Senior Data Scientist Forecasting And Ml Ops | The Clorox Company |
At Clorox, we champion people to be well and thrive by doing the right thing, putting people at the center, and playing to win. Led by our IGNITE strategy, we build brands that make a positive difference in people’s lives around the world. And we know that success requires head, heart, AND guts — all three, every day — coming together to work simpler, faster, bolder, and more inclusively. Interested? Join us to #IgniteYourCareer!
Your role at Clorox:
Are you a Data Scientist with a passion for shaping the future of forecasting and business planning? Join our team and help us revolutionize the way we predict and plan for the future! In this exciting role, you'll be at the forefront of developing and deploying cutting-edge forecasting models using a variety of advanced techniques, including machine learning, statistics, and data mining.
As our Data Scientist, you'll be responsible for designing and implementing data pipelines to collect, clean, and prepare data for forecasting models, working alongside a dynamic and innovative forecasting team. With your expertise, we'll embed predictive analytics and data science capabilities into global decisions, empowering business units with scalable, reusable models.
Reporting to our Associate Director of Enterprise Analytics, you'll have the opportunity to drive transformation through your visionary ideas and technical expertise. If you're passionate about taking on new challenges, collaborating with cross-functional teams, and delivering end-to-end analytics and data science solutions from idea conception through production and deployment, then this is the role for you!
In this role, you will:
Deliver end-to-end analytics and data science solutions from idea conception through planning, requirements, design, development, testing, production, and deployment/business process integrationOversee the solution's ML Ops from a model standpoint, own the management of data & model driftRetrain the models regularly, upgrade the models and associated technical pipelines, such as addition of signals or adaptation of the models to a change in input source / formatDo first line and second line model maintenance incl. advanced debugging whenever necessary; coordinate with engineers for specialized back-end and UI upgrades / debuggingCollaborate with cross-functional stakeholders/SMEs throughout product solution lifecycle to ensure requirements are met and solutions are fully integrated in business processes to deliver valueEvaluate existing and new data science tools and techniques, lead the development of data science best practices across the enterprise
What we look for:
5 plus years of overall data science experience3 plus years business experience in a Data Science or Advanced Analytics role in the industry (must have demonstrated working with business units)Deep understanding and experience with advanced statistics, time series forecasting, machine-learning models, best practice application of data science in a business context (e.g., back-testing & piloting), model architecture, and use casesExperience in data management, e.g., wrangling, extraction, normalizationAbility to build industrialized data pipelinesProficiency in SQL and Python (preferred) / R / Scala. Knowledge of big data framework like Spark is an assetAbility to navigate, collaborate and deliver production-grade code in a complex industrialized code baseExperience with standard SDLC process and DevOps including version-control (GitHub/SVN) and CI/CDExperience using business intelligence tools like Power BI / TableauExperience in Azure and Databricks are a plus Understanding of design and architecture principles is a plus Good communication and presentation skills: ability to synthesize, simplify, and explain complex problems to different audiences across functions and levels; ability to convey insight through storytellingStrong project management skills to stay on top of the timelines and deliverablesAutonomy and creativity with an ability to design suitable technical solutions to solve business problemsBachelors degree required; Master's preferred
Workplace type:
Hybrid preferred; Will consider remote
We seek out and celebrate diverse backgrounds and experiences. We’re looking for fresh perspectives, a desire to bring your best, and a non-stop drive to keep growing and learning.
At Clorox, we have a Culture of Inclusion. We believe our values-based culture connects to our purpose and helps our people be the best versions of themselves, professionally and personally. This means building a workplace where every person can feel respected, valued, and fully able to participate in our Clorox community. Learn more about our I&D program & initiatives here.
[U.S.]Additional Information:
At Clorox, we champion people to be well and thrive, starting with our own people. To help make this possible, we offer comprehensive, competitive benefits that prioritize all aspects of wellbeing and provide flexibility for our teammates’ unique needs. This includes robust health plans, a market-leading 401(k) program with a company match, flexible time off benefits (including half-day summer Fridays depending on location), inclusive fertility / adoption benefits, and more.
We are committed to fair and equitable pay and are transparent with current and future teammates about our full salary ranges. We use broad salary ranges that reflect the competitive market for similar jobs, provide sufficient opportunity for growth as you gain experience and expand responsibilities, while also allowing for differentiation based on performance. Based on the breadth of our ranges, most new hires will start at Clorox in the first half of the applicable range. Your starting pay will depend on job-related factors, including relevant skills, knowledge, experience and location. The applicable salary range for every role in the U.S. is based on your work location and is aligned to one of three zones according to the cost of labor in your area.
–Zone A: $116,700 - $229,800
–Zone B: $107,000 - $210,700
–Zone C: $97,200 - $191,500
All ranges are subject to change in the future. Your recruiter can share more about the specific salary range for your location during the hiring process.
This job is also eligible for participation in Clorox’s incentive plans, subject to the terms of the applicable plan documents and policies.
Please apply directly to our job postings and do not submit your resume to any person via text message. Clorox does not conduct text-based interviews and encourages you to be cautious of anyone posing as a Clorox recruiter via unsolicited texts during these uncertain times.
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Postdoctoral Fellow Population Genetics Genomic Data Science | Ancestry |
About Ancestry:When you join Ancestry, you join a human-centered company where every person’s story is important. Ancestry®, the global leader in family history, empowers journeys of personal discovery to enrich lives. With our unparalleled collection of more than 40 billion records, over 3 million subscribers and over 23 million people in our growing DNA network, customers can discover their family story and gain a new level of understanding about their lives. Over the past 40 years, we’ve built trusted relationships with millions of people who have chosen us as the platform for discovering, preserving and sharing the most important information about themselves and their families.We are committed to our location flexible work approach, allowing you to choose to work in the nearest office, from your home, or a hybrid of both (subject to location restrictions and roles that are required to be in the office- see the full list of eligible US locations HERE). We will continue to hire and promote beyond the boundaries of our office locations, to enable broadened possibilities for employee diversity.Together, we work every day to foster a work environment that's inclusive as well as diverse, and where our people can be themselves. Every idea and perspective is valued so that our products and services reflect the global and diverse clients we serve. Ancestry encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants. Passionate about dedicating your work to enriching people’s lives? Join the curious.
We are looking for candidates with strong experience in genomic data analysis and enthusiasm in human populations and/or family history. Through regular mentorship from our scientists, you will gain valuable research experience for the next step in your career. You will have the opportunity to apply cutting edge computational and statistical approaches to the largest database of human genome and pedigree data in the world. You will develop methods to help millions of people understand their ancestry, their family, and themselves. Help us make an impact in this exciting field!
Join the DNA Science team as a Postdoctoral Fellow and conduct innovative research on the world’s largest genomic and pedigree database to further our knowledge on human populations and family history.
What you will do:
Analyze genomic data to shed light on human population structure and history, infer populations of origin, and identify genetic relatedness
Develop state of the art computational algorithms and statistical methods
Bring new research ideas and questions to the team that leverage our unique data set
Aim to publish results generated by postdoc fellows in scientific journals and have them present at conferences
Join Ancestry’s DNA Science postdoc program, a 2-3 year training program — the exact length will depend on the specific research project.
Who you are:
You have a Ph.D. in Population Genetics, Genomic Data Science, Computational Biology,
or a related field.
You have demonstrated excellence in applying quantitative methods to large scale genomic data.
You have developed novel probabilistic models and algorithms for analyzing genomic data.
You have excellent programming skills.
You can manage projects with timelines.
You can effectively summarize and communicate complex research findings to different audiences.
You can operate independently and collaborate with team members to achieve the needed results.
#GDSponsored
#IND2
#LI-JE1
As a signatory of the ParityPledge in Support of Women and the ParityPledge in Support of People of Color, Ancestry values pay transparency and pay equity. We are pleased to share the base salary range for this position: $50,000 - $90,000 with eligibility for bonus, equity and comprehensive benefits including health, dental and vision. The actual salary will vary by geographic region and job experience. We will share detailed compensation data for a specific location during the recruiting process. Read more about our benefits HERE.
*Note: Disclosure as required by sb19-085(8-5-20) and sb1162(1-1-23)
Additional Information:
Ancestry is an Equal Opportunity Employer that makes employment decisions without regard to race, color, religious creed, national origin, ancestry, sex, pregnancy, sexual orientation, gender, gender identity, gender expression, age, mental or physical disability, medical condition, military or veteran status, citizenship, marital status, genetic information, or any other characteristic protected by applicable law. In addition, Ancestry will provide reasonable accommodations for qualified individuals with disabilities.
All job offers are contingent on a background check screen that complies with applicable law. For San Francisco office candidates, pursuant to the San Francisco Fair Chance Ordinance, Ancestry will consider for employment qualified applicants with arrest and conviction records.
Ancestry is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Ancestry via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Ancestry. No fee will be paid in the event the candidate is hired by Ancestry as a result of the referral or through other means.
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Senior Data Scientist | Onestudyteam |
OneStudyTeam Voluntary Demographic Questionnaire
At OneStudyTeam, we value belonging and believe in fostering an environment where a diversity of perspectives can thrive. This core value is a pillar of our business and critical to our success. Your voluntary responses will be used (in aggregate only) to help us identify areas of improvement in our process. Your responses are anonymous and will not be associated with your specific application and will not in any way be used in the hiring decision. If you do not wish to answer any of the questions below, please select "I don't wish to answer."
To learn more about OneStudyTeam's commitment to diversity, equity, and inclusion, please see our diversity statement and information about the BRIDGE Initiative.
Which categories describe you? Please select all that apply to you:
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Data Scientist Nlp | Ancestry |
About Ancestry:When you join Ancestry, you join a human-centered company where every person’s story is important. We believe that by discovering the struggles and triumphs of our past, we can foster deeper bonds and more meaningful connections among families and communities. With more than 30+ billion digitized global historical records, 125+ million family trees, and 22+ million people in our growing AncestryDNA database, Ancestry helps customers discover their family story and gain a new level of understanding about their lives.We are committed to our location flexible work approach, allowing you to choose to work in the nearest office, from your home, or a hybrid of both (subject to location restrictions and roles that are required to be in the office- see the full list of eligible US locations HERE). We will continue to hire and promote beyond the boundaries of our office locations, to enable broadened possibilities for employee diversity.Together, we work every day to foster a work environment that's inclusive as well as diverse, and where our people can be themselves. Every idea and perspective is valued so that our products and services reflect the global and diverse clients we serve. Ancestry encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants. Passionate about dedicating your work to enriching people’s lives? Join the curious.
We are hiring a Data Scientist with NLP expertise to join our centralized Data Science & Machine Learning Team. Reporting to our VP of Data Science, you will be a leading contributor on a team bringing together advanced degrees and expertise solving Ancestry's toughest and most exciting data science challenges. You will have access to Ancestry's unique content collections and data spanning decades and centuries across a variety of media channels. Your mission is to mine, extract and organize information from these collections to create user experiences to inform, enlighten, and delight customers.
What you will do...
Use Computer Vision and Natural Language Processing (CV-NLP) methods and expertise to build models that extract and organize information from billions of historical and genealogical records.
Build models that promote product development, customer success, and content creation across our Family History business.
Work with teams and partners across the company providing data science support for multiple projects.
Advocate for a data-driven culture and push long-term value creation through development of outstanding data science capabilities.
Who you are...
4 years related professional experience
Expert level in machine learning, computer vision, and deep learning
Excellent project management and written skills
Experience translating requirements from partners into detailed implementation plans
Experience completing multiple data science projects end-to-end; from idea generation, objective formulation, to implementation and deliverables
Experience understanding and implementing published models and methods for practical application and real-world problems.
Experience in document image processing i.e.: computer vision methods, image classification, object detection, segmentation, layout analysis, redaction, handwriting recognition.
Preference for experience building and training models with deep learning frameworks like TensorFlow and Pytorch.
Strong proficiency in Python and related imaging tools and libraries, Java and multi-threaded programming preferred
Preference for current familiarity with leading trends and advances in document analysis and recognition, and experience with cloud (AWS)
Helping people discover their story is at the heart of ours. Ancestry is the largest provider of family history and personal DNA testing, harnessing a powerful combination of information, science and technology to help people discover their family history and stories that were never possible before. Ancestry’s suite of products includes: AncestryDNA, AncestryProGenealogists, Fold3, Newspapers.com, Find a Grave, Archives.com, and Rootsweb. We offer excellent benefits and a competitive compensation package. For additional information, regarding our benefits and career information, please visit our website at http://ancestry.com/careers
#GDSponsored
#IND2
#LI-MK1
As a signatory of the ParityPledge in Support of Women and the ParityPledge in Support of People of Color, Ancestry values pay transparency and pay equity. We are pleased to share the base salary range for this position: $68,000 - $191,000 with eligibility for bonus, equity and comprehensive benefits including health, dental and vision. The actual salary will vary by geographic region and job experience. We will share detailed compensation data for a specific location during the recruiting process. Read more about our benefits here: https://www.ancestrybenefits.com/.
*Note: Disclosure as required by sb19-085(8-5-20) and sb1162(1-1-23)
Additional Information:
Ancestry is an Equal Opportunity Employer that makes employment decisions without regard to race, color, religious creed, national origin, ancestry, sex, pregnancy, sexual orientation, gender, gender identity, gender expression, age, mental or physical disability, medical condition, military or veteran status, citizenship, marital status, genetic information, or any other characteristic protected by applicable law. In addition, Ancestry will provide reasonable accommodations for qualified individuals with disabilities.
All job offers are contingent on a background check screen that complies with applicable law. For San Francisco office candidates, pursuant to the San Francisco Fair Chance Ordinance, Ancestry will consider for employment qualified applicants with arrest and conviction records.
Ancestry is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Ancestry via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Ancestry. No fee will be paid in the event the candidate is hired by Ancestry as a result of the referral or through other means.
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Data Scientist | Ford |
Data Scientist
United States
and 1 more
(Remote)
Trending
Job Description
At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation. Creating the future of smart mobility requires the highly intelligent use of data, metrics and analytics. That’s where you can make an impact as part of our Global Data Insight & Analytics team. We are the trusted advisers that enable Ford to clearly see business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.
Ford Motor Company's GDIA organization is seeking a skilled data scientist to join our Quality Analytics team. As a Data Scientist on our Quality Analytics team, you will focus on preventive quality control, developing and implementing machine learning models to detect anomalies in our manufacturing components' test data. Your work will be crucial in identifying quality issues during production and ensuring our commitment to excellence.
Responsibilities
What you’ll be able to do:
Develop, implement, and fine-tune anomaly detection machine learning models for manufacturing components test data.
Analyze and interpret multi-modal datasets, uncovering trends and insights that will inform our quality control strategies.
Continuously improve the efficiency and accuracy of existing machine learning models.
Develop scalable model architectures for fast and reliable model retraining purposes.
Collaborate with the production team and other stakeholders to prevent defective parts from reaching customers.
Document and communicate findings and insights to stakeholders clearly and concisely.
Stay current with the latest advancements in machine learning algorithms and industry best practices.
Qualifications
The minimum requirements we seek:
Bachelor's degree in computer science, Statistics, Mathematics, Engineering, or a related quantitative field.
Minimum of two years of experience in Python programming language.
2+ years’ experience in analyzing high-dimensional datasets.
2+ years’ experience in SQL programming language and relational databases.
2+ years of experience with data analysis and visualization Python packages such as Pandas, SciPy, Seaborn, etc.
2+ years of experience with supervised machine learning algorithms and at least one of the following popular Machine learning frameworks: Scikit-learn, Pytorch, TensorFlow, and XGBoost.
Solid understanding of unsupervised machine learning algorithms such as isolation forests, one-class SVM, autoencoders, etc.
Familiarity with feature engineering concepts, Fourier transform, and statistical feature extraction and selection.
Our preferred requirements:
Ph.D. degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field is preferred.
Experience with Git and GitHub for version control and collaboration.
Experience with Google Cloud Platform for data processing and machine learning tasks.
Familiarity with the concept of time-frequency analysis and deep learning-based feature extraction.
Familiarity with sequential data modeling, feature extraction, and deep neural net architectures such as LSTM, GANS, and Conditional Random Fields.
What you’ll receive in return:
As part of the Ford family, you’ll enjoy excellent compensation and a comprehensive benefits package that includes generous PTO, retirement, savings, and stock investment plans, incentive compensation, and much more. You’ll also experience exciting opportunities for professional and personal growth and recognition.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status, or protected veteran status.
For information on Ford's salary and benefits, please visit: https://corporate.ford.com/content/dam/corporate/us/en-us/documents/careers/2023-benefits-and-comp-GSR-sal-plan-2.pdf
At Ford, the health and safety of our employees is our top priority. Vaccination has been proven to play a critical role in combating COVID-19. As a result, Ford has made the decision to require U.S. salaried employees to be fully vaccinated against COVID-19, unless employees require an accommodation for religious or medical reasons. Being fully vaccinated means that an individual is at least two weeks past their final dose of an authorized COVID-19 vaccine regimen. As a condition of employment, newly hired employees will be required to provide proof of their COVID-19 vaccination or an approved medical or religious exemption.
Apply Now
Job Info
Job Identification
12411
Job Category
IT Technology Management
Posting Date
05/12/2023, 07:30 PM
Degree Level
Bachelor's Degree or equivalent
Job Schedule
Full time
Locations
22001 Michigan Avenue, Dearborn, MI, 48124, US
(Remote)
Preferred Degree
Doctor of Arts
Remote
Yes
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Senior Data Scientist | Bluevoyant |
Senior Data Scientist
Location: Remote in the United States
BlueVoyant is seeking a Senior Data Scientist to join its Data Science team. We are an interdisciplinary team working closely with Engineering, Cybersecurity Analysts, and Product teams to identify and evaluate opportunities for data-science driven improvements, build prototypes and deploy solutions at scale.
The Data Science team plays a key role in solving the most important and critical problems for the company.Some of the topics a successful candidate can expect to work on include detection of suspicious activity, determining ownership of Internet assets, entity resolution, and identifying data or environmental trends.
You will join a team that works directly with the raw data, often developing models and analyses directly from the source data. Together with other teams, we design the approaches and schemas for storing massive amounts of data. We typically build and deploy the alpha version of production models and continue to collaborate with operations developers on pull through efforts creating stable operational processing.
Responsibilities:
Work with multiple teams to identify and solve business critical production problemsUse your statistical knowledge to understand the past and predict the futureHelp us define and push the standard of excellence for cybersecurity data integrityPresent findings to key stakeholders in the company and other teams
Qualifications:
Have an advanced degree, MS or PhD, or 10+ years of practical working experience within a quantitative field such as (but not limited to) Statistics, Economics, Computer Science, Data Science, Biostatistics, Engineering, or Applied MathematicsBe willing and able to dive deep into the realm of cyber security and Internet dataThis includes being comfortable working directly with structured and unstructured data at up to a petabyte scaleMaster the skill of hypothesis testing, both theoretically and empiricallyMaster as least one of the following topics: Natural Language Processing, Unsupervised Learning, or Graph/Network ModelingBe experienced with key languages such as SQL, Python and UnixBe comfortable working in a cloud-based environment such as GCP, AWS or AzureBe able to work side-by-side with expert Data Scientists, Data Engineers and Cybersecurity AnalystsThrive in a fast-paced start-up culture
What we offer:
A mission to stand behindOur customers see a direct effect of our workA supportive working and development environmentWe have daily team stand-ups with dedicated time to technical discussions and a dedicated social call (no work talk!) once a week
About BlueVoyant
At BlueVoyant, we recognize that effective cyber security requires active prevention and defense across both your organization and supply chain. Our proprietary data, analytics, and technology, coupled with deep expertise, works as a force multiplier to secure your full ecosystem. Accuracy! Actionability! Timeliness! Scalability!
Led by CEO, Jim Rosenthal, BlueVoyant’s highly skilled team includes former government cyber officials with extensive frontline experience in responding to advanced cyber threats on behalf of the National Security Agency, Federal Bureau of Investigation, Unit 8200, and GCHQ, together with private sector experts. BlueVoyant services utilize large real-time datasets with industry leading analytics and technologies.
Founded in 2017 by Fortune 500 executives, including Executive Chairman, Tom Glocer, and former Government cyber officials, BlueVoyant is headquartered in New York City and has offices in Maryland, Tel Aviv, San Francisco, London, Budapest, and Latin America.
All employees must be authorized to work in the United States. BlueVoyant provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, BlueVoyant complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.
Disclaimer: Please note that pursuant to contractual requirements and applicable law, in order for employees to perform work on some of the company’s federal contracts, U.S. citizenship is required. Accordingly, an employee’s ability to perform work on such contracts is contingent upon the company’s verification of the employee’s citizenship status. Furthermore, individuals may be subject to additional background checks and fingerprinting.
BlueVoyant Candidate Privacy Notice
To understand how we secure and manage your personal data upon submitting a job application, please see our Candidate Privacy Notice, which can be found here - Candidate Privacy Notice
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Senior Data Scientist | Sprout Social |
Description
Sprout Social is looking for a Senior Data Scientist to join its Data Science and Engineering team.
Why join Sprout’s Data Science and Engineering team?
At Sprout, we've only scratched the surface of what's possible with our data. There’s no shortage of opportunities to make a big impact on the business through the development of data products such as new machine learning systems, KPIs and dashboards, or new data integrations and data sources. Because Data Science, Data Engineering and Business Analytics all work under the same team here, there aren't the standard organizational roadblocks teams sometimes face to do their work. Our work impacts and touches all corners of the business, and we enable Sprout’s data culture through support, teaching and mentoring across teams. Come join us as we seek to act as both engineers and advisors, building functionality within the Sprout ecosystem and partnering with our colleagues across the organization to enable a more data-informed culture.
What you’ll do
Develop and deploy new product features that deliver new capabilities to our customers.
Work closely with product managers, engineers, and designers on our product teams to define opportunities for applying data science to our products.
Own the machine learning model development process for your project, including curating data, training models, and working with cross functional teams to get your models into Sprout’s products.
What you’ll bring
We’re looking for an experienced and passionate data scientist to build great software with us and to help shape the features we build and how we work with Product. If you can confidently deploy data science services, and are passionate about learning and mentoring others, we’d love to talk with you!
The minimum qualifications for this role include:
3+ years working as a data scientist working in cross-functional teams to deploy production-level data products
2+ years of experience leveraging the Python data science stack for model development and deployment
Preferred qualifications for this role include:
Experience working in a broad range of ML problem spaces, such as classification, regression, time-series, recommendation systems, anomaly detection, and/or natural language processing
2+ years of experience retrieving and manipulating data in relational and/or non-relational databases
Prior experience training and deploying neural networks such as PyTorch or Tensorflow and using HuggingFace or other NLP libraries.
Prior experience building and deploying customer-facing data products in a SaaS environment
How you’ll grow
Within 1 month, you’ll plant your roots, including:
Complete Sprout’s New Hire training program alongside other new Sprout team members.
Become familiar with our existing services and available data.
Learn about our existing model and deployment patterns.
Begin meeting with product and data science stakeholders to understand existing problem spaces and needs.
Within 3 months, you’ll start hitting your stride by:
Work with your manager to define the first data product you’ll work on and begin the process of developing it
Either extend existing services or develop new tools to help our customers optimize their social content
Continue learning about Sprout’s products and customers to inform a potential roadmap of data-products
Within 6 months, you’ll be making a clear impact through:
Deploy your first data product in concert with product management, design, engineering, and ML Engineering
Work with stakeholders to begin to develop a longer-term roadmap of data products
Provide input into our ML Engineering practice to help define deployment patterns that will be leveraged by you and other data scientists
Within 12 months, you’ll make this role your own by:
Actively monitoring and iterating on the data product you’ve deployed
Continuing to develop new data products
Identify new opportunities for data science-backed capabilities
Collaborate with our ML Engineering team to identify technical debt and performance bottlenecks within our system and come up with a plan to improve the code
Expand your skills by learning from other engineers and data scientists around Sprout.
Surprise us! Use your unique ideas and abilities to change your team in beneficial ways that we haven’t even considered yet.
Of course what is outlined above is the ideal timeline, but things may shift based on business needs and other projects and tasks could be added at the discretion of your manager.
Our Benefits Program
We’re proud to regularly be recognized for our team, product and culture. Our benefits program includes:
Insurance and benefit options that are built for both individuals and families
Progressive policies to support work/life balance, like our flexible paid time off and parental leave program
High-quality and well-maintained equipment—your computer will never prevent you from doing your best
Wellness initiatives to ensure both health and mental well-being of our team
Ongoing education and development opportunities via our Grow@Sprout program and employee-led diversity, equity and inclusion initiatives.
Growing corporate social responsibility program that is driven by the involvement and passion of our team members
Beautiful, convenient and state-of-the-art offices in Chicago’s Loop and downtown Seattle, for those who prefer an office setting
Whenever possible, Sprout wants to provide our team with the flexibility to work in the location that makes the most sense for them. Sprout maintains a remote workforce in many places in the United States. However, we are not set up in all states, so please look at the drop-down box in our application to see whether your state is listed. Few roles require an office setting. If your position requires a physical presence in a Sprout office, it will be evident in the job listing and your offer letter.
The base pay range for this role is $145,000.00 - $175,000.00 USD annually. Individual base pay is based on various factors, including work location, relevant experience and skills, the responsibility of the role, and job duties/requirements.
Sprout’s compensation ranges are intentionally broad to allow for our team members' growth within their role. These ranges were determined by a market-based compensation approach; we used data from trusted third-party compensation sources to set equitable, consistent, and competitive ranges. We also evaluate compensation bi-annually, identify any changes in the market and make adjustments to our ranges and existing employee compensation as needed.
Base pay is only one element of an employee's total compensation at Sprout. Every Sprout team member has an opportunity to receive restricted stock units (RSUs) under Sprout’s equity plan. Employees (and their dependents) are covered by medical, dental, vision, basic life, accidental death, and dismemberment insurance, and Modern Health (a wellness benefit). Employees are able to enroll in Sprout’s company’s 401k plan, in which Sprout will match 50% of your contributions up to 6% with a maximum contribution. Sprout offers “Flexible Paid Time Off” and ten paid holidays. We have outlined the various components to an employee’s full compensation package here to help you to understand our total rewards package.
Sprout Social is proud to be an Equal Opportunity Employer and an Affirmative Action Employer. We do not discriminate based on identity- race, color, religion, national origin or ancestry, sex (including sexual identity), age, physical or mental disability, pregnancy, veteran or military status, unfavorable discharge from military service, genetic information, sexual orientation, marital status, order of protection status, citizenship status, arrest record or expunged or sealed convictions, or any other legally recognized protected basis under federal, state, or local law. Learn more about our commitment to diversity, equity and inclusion in our latest DEI Report.
If you need a reasonable accommodation for any part of the employment process, please contact us by email at [email protected] and let us know the nature of your request and your contact information. We'll do all we can to ensure you're set up for success during our interview process while upholding your privacy, including requests for accommodation. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.
For more information about our commitment to equal employment opportunity, please click here (1) Equal Opportunity Employment Poster (2) Sprout Social's Affirmative Action Statement (3) Pay Transparency Statement.
When you apply for employment with Sprout Social, we will process your job applicant data, including your employment and education history, transcript, writing samples, and references as necessary to consider your job application for open positions. Your personal data will be shared with Greenhouse Software, Inc., and Crosschq, Inc., cloud services providers located in the United States of America and engaged by Sprout Social to help manage its recruitment and hiring process on Controller’s behalf. Accordingly, if you are located outside of the United States, by clicking “Submit Application” on this site, you consent to the transfer of your personal data to the United States. For more information about our privacy practices please visit our Privacy Policy. California residents have additional rights and should review the Additional Disclosures for California Residents section in our Privacy Policy.
Additionally, Sprout Social participates in the E-Verify program in certain locations, as required by law.
#LI-REMOTE
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Machine Learning Scientist Ii Images Deep Learning | Tripadvisor |
Machine Learning Scientist II (Images/Deep Learning)
Available in 2 locations
Data Science and Analytics
02/06/2023
4365621
Save
We believe that we are better together, and at Tripadvisor we welcome you for who you are. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there.
About the Role
This role is to be based remotely or hybrid in Portugal or UK only.
The Tripadvisor Data Science Team is looking for an exceptional individual to help design and build next generation systems that model how travelers interact with the various products on the site. Such models will allow a significant improvement in our ability to offer to travelers the most tailored and relevant travel products to them (e.g. showing the top family-friendly beachfront properties in Cancun). This individual will have the opportunity to work on deep learning projects across a variety of verticals including hotels, restaurants, experiences, etc. with a strong focus on computer vision, and work on problems including (but not limited to) image understanding, sorting and recommendation, content moderation, etc.
Tripadvisor is the web's leading travel information site. At Tripadvisor, the Data Science Team creates systems that influence the travel decisions of millions of people per day. It applies cutting edge machine learning techniques to a wide variety of areas, including sorting, recommendation, computer vision, natural language processing, etc. To ensure continued success, Tripadvisor promotes a culture of personal development, including social activities, journal clubs, memberships in online learning resources, and participation in industry conferences. Have a great time while shaping the future of travel!
What you will be doing:
Implementing cutting edge machine learning models in image classification, object detection, semantic segmentation, etc., to solve a variety of core business problems
Harnessing our database of over 600M images to train new models
Writing ETL automation pipelines
Building prototypes, running evaluations, optimizing deployments, and maintaining new models in production
Designing A/B tests and analyzing their results
Communicating progress and experimental results to technical and business stakeholders
Planning and brainstorming future projects
Minimum Qualifications:
Advanced degree in Computer Science, Data Science, Engineering, Statistics, or related field
2+ years experience developing deep learning models at scale from inception to production
Strong background in machine learning, deep learning, and statistics
Strong computer science (data structures and algorithms) foundation
Proficiency in a mainstream Python deep learning framework: PyTorch, Tensorflow, or Keras
Experience with big data technologies, such as Snowflake, Hive, Spark, etc. and ability to write complex SQL queries
Experience with modern python based data science libraries including pandas, numpy, scikit-learn, and tools like Jupyter notebooks, etc.
Bonus Qualifications:
3+ years experience developing deep learning models at scale from inception to production; and, at least one year of industrial experience with computer vision models
Experience with hosted notebooks and modern ML tooling: Kubeflow, MLflow, W&B, etc.
Knowledge of A/B test design and analysis
Experience doing ML & data science for large scale online services
What you’ll get:
Highly competitive salary along with the following:
Annual bonus
Stock options
Excellent contributory pension
Full family private medical cover
Full dental cover
Annual wellbeing allowance (e.g. gym membership, Apple Watch, etc.)
Complimentary Tripadvisor Plus membership
Personal travel reimbursement and other travel discounts
Critical illness plus full life cover
Employee assistance program
If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email to [email protected] and let us know the nature of your request . Please include the job requisition number in your message.
#LI-GW1
#LI-Remote
#LI-Hybrid
Apply now
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Sr Product Data Scientist | Philo C2B8E0A8 91A3 40Cb Aa51 5Bc12F0E2E06 |
Philo: TV on the Internet (TVoIP)
At Philo, we’re a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented — in short, we’re building the TV experience that we’ve always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback experiences.
Data Science at Philo
Data underpins everything we do at Philo: making informed business decisions; analyzing and improving the quality of our streaming experience; running product experiments to optimize our signup flows; and making it easier for our users to find the perfect thing to watch. On the Data Science team, we’re looking for someone who is comfortable working on a variety of interesting engagement, content discoverability, experimentation, and retention-related problems across our streaming service. You’ll be working closely with other data scientists, analysts, and engineers to build and deploy solutions directly for our service.
We are passionate about problem-solving and providing data-informed insights for the entire company using both cutting-edge techniques and proven practices in close collaboration with every department. To complete our work we build on modern open-source tools including dbt, GrowthBook, Robyn, Superset, and PyTorch as well as SaaS tools such as Segment, SageMaker, AWS Glue, Mode, Avo, and BigEye.
Some of the recent projects our Data Science team members have worked on include:
Modeling to determine which early product behaviors predict conversion
Running experiments to evaluate content personalization
Building data models for analysis of lifecycle marketing communications
Price sensitivity research and competitive market analyses
Qualifications
Philo is seeking a Senior Product Data Scientist with demonstrated understanding of statistical modeling, A/B/n experimentation practices, SQL, and experience independently developing data driven insights. This data scientist will have the opportunity to leverage massive structured, unstructured, transactional, and real-time data sets from a variety of sources, analyze financial and customer usage patterns, and make actionable recommendations to product, marketing, engineering, and business development teams.
In this role the Senior Product Data Scientist will support the entire product development lifecycle from product ideation and opportunity sizing to measurement and experiment design, and from causal analysis and post-launch learning to the next development cycle. Senior Data Scientists at Philo contribute to mentorship and leadership on the Data team whether they are people managers or individual contributors. Individuals with prior experience with people management or an interest in people management will have the opportunity to add that responsibility to their role at Philo.
Responsibilities:
Build a deep understanding of how subscribers use Philo on each of our streaming platforms, including where they run into problems as well as identifying new features and defining the metrics to evaluate those features
Own analytics and tracking plans, within several development work streams, from metric definition and data instrumentation design to ongoing reporting and research
Iteratively improve our experimentation methods and establish best practices for A/B/n experiments
Establish curated dashboards that will serve as the primary source by which we evaluate the performance of features
Run queries to support ad-hoc product questions and create Mode dashboards and other visualizations for stakeholders
Understand user flows, user behaviors, and long-term trends in our data to identify opportunities for new features
Own your analytics projects, proactively identify issues and opportunities, test hypotheses, and propose solutions
Collaborate with groups company-wide (e.g. business development, advertising operations, marketing, and support) on KPIs, including lifetime value, retention, win-back, and content consumption metrics
Key Qualifications:
10+ years of experience in a Data Science role
Demonstrated ability to influence product roadmaps and business decisions with data
Proven expertise in experimental design (including but not limited to A/B testing), principles of causal inference, and statistical techniques
Experience with relational databases and SQL
Strong written and verbal communication skills, with the ability to explain and present analytical methodology and results to non-technical audiences
Expert with statistical analysis in either R or Python
Strong analytics fundamentals – a degree in statistics, economics, a related field, or similar professional experience
Experience in writing production-quality code in R/Python, productionizing data models and statistical models with tools such as Git, Sagemaker, and dbt, and using software engineering best practices around version control, review, and automated testing
More about Philo
We strive to build engaging and easy to use streaming apps across a large number of platforms (Android Mobile, Android tablets, Android TV, Amazon FireTV, Roku, iOS, Apple TV, Samsung, and web), while delivering a large variety of content to our users.
Today there are over 60 channels included in our basic package -- our lineup includes many popular cable networks, like A&E, Accuweather, Animal Planet, AXS TV, BBC America, BET, Cheddar, ComedyCentral, CMT, Discovery Channel, Food Network, Game Show Network, Hallmark, HGTV, IFC, INSP,Lifetime, MTV, Newsy, Nickelodeon, OWN, Paramount Network, Sundance, TV One, Vice and VH1. We also offer premium add-on channels from Starz and Epix, and we’re always adding more content!
We’re a company that puts people first — both our subscribers and our team. At Philo, our philosophy is to empower our colleagues to do their best work while supporting each other in pursuing shared goals. We value pragmatism, pride in our work, and passion. We believe in having transparency and openness across all parts of the company. We are committed to diversity and inclusion as we grow the Philo team and shape the future of TV -- we believe that a diverse set of voices and perspectives on our team enables us to innovate faster and create the best experience for our subscribers.
Philo is headquartered in San Francisco, with additional offices in New York and Cambridge, MA. Our leadership team includes a cofounder of Facebook as well as alums of Meraki and HBO. Philo is backed by NEA and industry partners including Discovery, Viacom, AMC, and A&E.
Status: Full-timeLocation: Cambridge, MA or remoteCompensation: Includes annual salary between $160K-$210K depending on experience and location, company stock options, and health benefits
We value a diverse and inclusive workplace and we welcome people of different backgrounds, experiences, skills, and perspectives. Philo is an equal opportunity employer. We believe that everyone does their best work when they are supported by each other and the company, and we offer a generous set of benefits to make sure the Philo team is happy and healthy. Here is a sampling of the benefits we offer our team:
Full health, dental and vision coverage for you and your family
Flexible working hours
Generous paid parental leave
Unlimited paid time off for vacation and sick leave
$2000 annual vacation bonus (we pay you to take a two week vacation)
$5250 annually for professional development and educational assistance
$1250 annual home office + TV stipend
$500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices
Dog-friendly office
And much more!
For California Residents: Philo’s CCPA Notice at Collection – Employees, Applicants, Owners, Directors, Officers and Contractors
Apply Now
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Director Of Machine Learning Science Ai Automation Optimization | System1 |
System1 is looking for an experienced data science leader to join our team as the Director of Data Science for AI Automation & Optimization. In this role, you will be responsible for leading a talented team of data scientists focused on driving research and development of new cutting-edge machine learning and artificial intelligence algorithms that power automation and optimization capabilities for one of the biggest real-time acquisition marketing platforms in the world - reaching 100s of millions of users every month.
The ideal candidate will have experience leading efforts researching, developing, and deploying cutting-edge machine learning algorithms to automate and optimize planning and decisioning for extremely complex dynamic systems with imperfect information. You should keep up with the latest academic research and developments in reinforcement learning (e.g. MuZero, growing-tree counterfactual regret minimization, etc) and stochastic black box optimization and intuitively understand how these algorithms can be applied to automate and optimize execution of large-scale advertising campaigns to balance both performance and portfolio risk.
With billions of data points ingested daily and the ability to impact and automate millions of critical decisions that drive the core of our business, this is a unique opportunity to build new advanced ML and AI capabilities at a company that still innovates at the pace of a startup but has the data and scale of a successful billion dollar company!
The Role You Will Have:
Lead a team focused on developing an automated and intelligent advertising system by advancing the state-of-the-art in machine/reinforcement learning techniques to support large-scale optimization of media/channel mix, ad selection, bidding and overall campaign performance, etc
Leverage knowledge of software engineering principles to guide development and deployment of production machine learning solutions making decisions that impact millions of dollars of ad spend and revenue per day
Keep abreast of relevant research in online ad auction design, computational advertising, and computational economics
Work with cross-functional teams of engineers, scientists, and analysts, to devise implementation and experimentation strategies
Utilize broad and deep knowledge of machine learning to contribute to the development of System1’s roadmap for core machine learning capabilities
Coach and mentor data scientists to elevate the talent bar across System1
What You Will Bring:
Bachelor's degree (Master's or PhD preferred) in a highly quantitative field (e.g. Computer Science, Engineering, Physics, Math, Operations Research, etc) or equivalent work experience
5+ years of experience researching & developing algorithms for intelligent automation and optimization systems
Previous experience leading a highly technical machine learning / data science team
Strong machine learning and algorithmic background with a deep understanding of advanced reinforcement learning, stochastic optimization, and deep learning techniques
Hands-on experience building ML driven products
Experience leading technical research and production grade development efforts/teams
Fluency with at least one data science/analytics programming language (e.g. Python, R, Julia)
Solid software design and implementation skills with a general-purpose programming language preferred (e.g. Rust, Scala, C++/C#, Java, Haskell, etc)
Strong functional programming development skills (preferred)
Ability to effectively communicate technical information to a wide spectrum of cross-functional team members
Experience mentoring and coaching junior team members
What We Have to Offer:
Competitive salary + bonus + equity
Generous PTO + 11 company holidays
Open sick time
100% covered Medical, Dental, Vision for employees
401k with match
Health & Dependent Care Flex Spending Account
Paid professional development
Leadership & growth opportunities
Virtual company and team building events
#BI-Remote
#LI-Remote
#BI-Hybrid
The U.S. base salary range for this full-time position is $213,000 - $352,900 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in U.S. role postings reflect the base salary only, and do not include bonus, equity, or benefits.
System1 offers flexible work arrangements for most employees (unless they hold positions which are identified as having to be 100% onsite in Marina del Rey, CA, Bellevue, WA or Guelph, ON Canada). Most System1 full-time employees choose to work in a hybrid environment, splitting their time between working in our offices and working remotely. System1 allows fully-remote work in the following approved locations: Arizona, Colorado, Georgia, Hawaii, Minnesota, Missouri, New Jersey, New York, North Carolina, Oklahoma, Oregon, Pennsylvania, Tennessee, Texas and Virginia. Prospective U.S. employees who live outside of any of these states will need to establish residency in one of the approved states prior to employment.
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Service Delivery Program Manager Data Science Analytics | Zayo |
Company DescriptionZayo provides mission-critical bandwidth to the world’s most impactful companies, fueling the innovations that are transforming our society. Zayo’s 133,000-mile network in North America and Europe includes extensive metro connectivity to thousands of buildings and data centers. Zayo’s communications infrastructure solutions include dark fiber, private data networks, wavelengths, Ethernet, and dedicated Internet access. Zayo serves wireless and wireline carriers, media, tech, content, finance, healthcare and other large enterprises.The Service Delivery Program Manager, Data Science & Analytics will be responsible for assisting with analytics programs and initiatives, primarily focusing on data visualization processes using Tableau. This role will also assist with dashboard creation, automation of reporting processes, data integrity, project management and business intelligence. The successful candidate will provide outstanding support for Senior Management, Service Delivery Leadership and related programs. This role provides challenge, variety, and exposure to several areas of the business.The Program Manager, Data Science & Analytics will amplify our growth by implementing and maintaining a process for methodical focus on all areas of the business that can accelerate installs and expedite revenue. This role will work in partnership with the Strategy and Operations team, responsible for the implementation and execution of scalable processes and reporting to drive collaboration and cooperation between Service Delivery and other organizations across Zayo. The Program Manager position requires analytical skills and a “can do” attitude, with eagerness to learn new tools that may require coding in new languages - ie, SAQL (similar to SQL and Pig Latin Query Language) and Python (similar to R). Proactivity and personal communication skills are critical, as this role demands constant interaction with Service Delivery leaders, Senior and Executive leadership, developers and other IT professionals, sales operations and other teams across Zayo Group.Responsibilities
Curate efficient dashboards and lenses in Einstein Analytics and Tableau, providing insights for decision makers
Creates efficient reports in Salesforce.com for various needs and departments
Create and maintain reports and dashboards to track success for various programs
Analyze delivery and customer data to support executive, delivery teams and partner organization representatives
Support data strategy and process improvement efforts by coordinating with multiple IT resources and data strategy team
Automate and simplify efforts using scripts
Proactive communication and updates on progress to both management and the organization through multiple platforms
Partners with Delivery teams and others to ensure data is accurate and up to date
Provides analysis and support for senior management requests related to Delivery performance
Develops sheets and maintains templates for data entry completed by outside teams.
Assists in ad-hoc analytics/reporting requests for various teams
Opportunity to work on advanced analytics projects and predictive models
Qualifications
Academic
Bachelor of Arts/Science Degree business analytics, operations, computer science, marketing, finance, business administration, economics, or related degree required
Masters in Business Analytics, Data Analytics, Computer Science, Marketing Analytics, Information Science or related field experience required
Coding:
Intermediate/Advanced Excel - VBA required
Intermediate/Advanced SQL required
Intermediate/Advanced R/Python required
Pig Latin Query Language/SAQL preferred
Work Experience
3+ years of experience in a Data Science or Data Analytics Role
Advanced experience in Data visualization required
Advanced knowledge of Tableau/Einstein required
Advanced skills in Google Sheets and Excel required
Advanced Experience in Salesforce or similar CRM tool required
Strategic, analytical and program management skills.
Proficient with Google Suite
Excellent Interpersonal Skills
Strong attention to detail.
High energy individual with strong work ethic.
Ability to interact effectively with all personnel.
Excellent written and verbal communications skills.
Autonomous yet comfortable teaming with others on various projects.
Interest in the intersection between qualitative and quantitative data.
Ability to plan, prioritize and organize effectively and work under pressure deadlines.
Base pay range: $75,500 - $110,660, commensurate with experience. Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time#LI-EC1Benefits, Rewards & Wellness
Excellent Health, Dental & Vision Insurance
Retirement 401(k) Savings Plan
Fitness membership discounts
Generous paid time off policy including paid parental leave
Zayo provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, provincial or local laws.This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
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Principal Data Scientist Deep Learning | Nbcuniversal |
Company Description
We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our theme parks and consumer experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through Universal Filmed Entertainment Group and Universal Studio Group, and have world-renowned theme parks and attractions through Universal Destinations & Experiences. NBCUniversal is a subsidiary of Comcast Corporation.
Here you can be your authentic self. As a company uniquely positioned to educate, entertain and empower through our platforms, Comcast NBCUniversal stands for including everyone. Our Diversity, Equity and Inclusion initiatives, coupled with our Corporate Social Responsibility work, is informed by our employees, audiences, park guests and the communities in which we live. We strive to foster a diverse, equitable and inclusive culture where our employees feel supported, embraced and heard. Together, we’ll continue to create and deliver content that reflects the current and ever-changing face of the world.
Job Description
Our Direct-to-Consumer (DTC) portfolio is a powerhouse collection of consumer-first brands, supported by media industry leaders, Comcast, NBCUniversal and Sky. When you join our team, you’ll work across our dynamic portfolio including Peacock, NOW, Fandango, SkyShowtime, Showmax, and TV Everywhere, powering streaming across more than 70 countries globally. And the evolution doesn’t stop there. With unequalled scale, our teams make the most out of every opportunity to collaborate and learn from one another. We’re always looking for ways to innovate faster, accelerate our growth and consistently offer the very best in consumer experience. But most of all, we’re backed by a culture of respect. We embrace authenticity and inspire people to thrive.
As part of the Direct-to-Consumer Recommendation Sciences team, the Principal Data Scientist will be responsible for creating machine learning solutions for NBCU’s video streaming service including but not limited to, content recommendations, product experience personalization, and personalized ad services.
In this role specifical, the Principal Data Scientist (Deep Learning) will lead algorithmic solution design, rapid prototyping, and technical review for the ML/AI models underlying personalized user experiences and content promotion. They will be a key point of contact for cross-functional architects and software developers as they integrate personalized data products and capabilities across our suite of global and domestic products. They will work with a dynamic cohort of high calibar individuals across Product, Technology, Marketing, Content Discovery, Editorial, and more to build a state-of-the-art real-time video streaming service
Responsibilities include, but are not limited to:
Build and manage a high-performance team of data scientists.Lead the team in the development of a recommendation system modeling and experimentation framework.Work with business stakeholders to define priorities, approaches and business requirements for the analytical solutions.Manage multiple priorities across business verticals and machine learning lifecycle projects. Lead work with engineering teams to define data science driven requirement and solutions for major initiatives and opportunities of the streaming service functionality.Drive innovation of the statistical and machine learning methodologies and tools used by the team. Lead improvements in machine learning lifecycle infrastructure.Drive a data science culture that inspires and motivates the team to succeed.
Qualifications
Advanced (Master or PhD) degree with specialization in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research or another quantitative field or equivalent.6+ years of combined experience in software development or data scienceExperience with commercial recommender systems or a lead role in an advanced research recommender system project.Cloud certification (with exam) in either solutions architecture or Machine Learning from AWS, Google, Microsoft, or other major cloud software providerWorking experience with deep learning, including computer vision, computational linguistics/conversational AI, or recommender systems. Strong experience with deep learning using TensorFlow.Experience with Google AI Platform/Vertex AI, Kubeflow and Airflow.Proficiency in Python. Go, Scala, or Java is a plus.Experience in data processing using SQL and PySpark, and extensive experience with NoSQL and Feature Store production interactionsGood understanding of algorithmic complexity of model training and testing, particularly for real-time and near real-time models.
Desired Characteristics:
Experience in content streaming or commerce as a senior contributor to AI/ML-powered product features and user experiencesExperience with reinforcement learning based systems.Knowledge of enterprise-level digital analytics platforms (e.g. Adobe Analytics, Google Analytics, etc.).Experience with large-scale video assets.Ability to build trust across the organization and socialize solutions and identified data insightsPride and ownership in your work and confident representation of your team to other parts of NBCUniversal.
This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $185,000 - $220,000, bonus and LTI eligible
Additional Information
NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. NBCUniversal will consider for employment qualified applicants with criminal histories in a manner consistent with relevant legal requirements, including the City of Los Angeles Fair Chance Initiative For Hiring Ordinance, where applicable.
If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations in the US by calling 1-818-777-4107 and in the UK by calling +44 2036185726.
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Data Science Analytics Internships Academic Year | Nbcuniversal |
Company Description
See yourself at NBCU! Be a part of our intern community, a diverse group of curious and passionate trailblazers who we believe are the future of our industry.
The NBCUniversal Internship Program allows students to unlock their potential by contributing to big projects in meaningful ways that matter. To thrive as an NBCU intern, you are ready to bring your passion for media, entertainment, and technology along with your desire to learn each day.
Your professional development is important to us. NBCU interns receive career prep, leadership exposure, connection to other interns, networking, and of course, all the fun you can imagine along the way. Because we know it can be challenging to balance coursework and internship commitments, we offer interns paid time off for mental health, school exams, and personal holidays.
To meet students where they are, we will host internships in both a virtual and in-person format. Opportunities listed will either be in-person based on the location mentioned or virtual, depending on business needs. Some of our internship opportunities that begin in September will continue through the Academic Year and end in April. Please be sure to read this job description carefully and note the internship dates, locations, and departments before applying.
Job Description
Academic Year Internship Program:
Applications Close: June 9, 2023 at 11:59pm ET. Pro Tip: Submit your application as soon as possible – don't delay! Program Dates: September 18, 2023 – April 19, 2024 Time Commitment: 16-24 hours per week. Exact schedule to be determined based on business need. We will do our best to accommodate course schedules.
To Apply:
Submit a one-page resume that outlines your work experience, accomplishments, and your graduation month and year. Submit a cover letter that highlights your passion for NBCUniversal, the locations (listed below) you are open to for internships, and your top areas of interest (opportunities listed below). Upload a transcript (unofficial transcripts are fine) that confirms your status as an actively enrolled student in a degree-granting program.
Introducing Peacock, NBCUniversal’s new streaming service that combines timeless shows and movies, exclusive originals, kids programming and current hits, with timely news, sports and pop culture. All together. All in one app.
We are building a world-class team of smart, hungry and fearless professionals who are energized by the possibility of working at the epicenter of content, technology and culture. Unlike a traditional internship, the Data Science Internship in Peacock embeds future data scientists in ongoing projects within the organization. They become active members of existing teams developing data science projects, acquiring specific responsibilities, goals and timelines which are interdependent with the goals and timelines of the teams they are embedded in. Upon the completion, future Data Scientists will have gained experience in real-world projects on a typical data science environment, using state of the art data science tools, and broad exposure to the media industry.
Areas of placement may include, but are not limited to:
Peacock Data Science, Customer Behavior: As the data science intern, you’ll get to build machine learning and statistical models to understand and predict customer behavior and interactions with Peacock streaming service, build models for content performance, personalization and recommendations systems, content greenlighting and other business use cases, explore and transform data and create high quality features for the modeling process using self-serve Feature Store capabilities, collaborate with the team to build machine learning pipelines using various ML tools including Kubeflow, and work on improving the codebase and machine learning lifecycle infrastructure and actively participate in all aspects of the teamwork. Peacock Data Science, Customer Journey: As the data science intern, you’ll get to build machine learning and statistical models to understand customer journey and predict customer lifetime value, explore and transform data (e.g., cleansing, discretization, imputation, selection, generalization) to create high quality features for the modeling process, collaborate with the team to build real-time and automated batch pipelines for productizing data science solutions, use big data, relational and non-relational data sources to access data at the appropriate level of granularity for the needs of specific analytical projects, and work on improving the codebase and machine learning lifecycle infrastructure and actively participate in all aspects of the teamwork.
Qualifications
Basic Requirements:
Must be actively enrolled in a degree-granting program at an accredited institution during the entire duration of the program. Current class standing of sophomore or above (30 credits). Must be authorized to work in the United States without visa sponsorship by NBCUniversal. Must be working from a location within the United States during all hours worked.
Desired Characteristics:
Students with class standing of junior or above preferred. Cumulative GPA of 3.0 or above. Knowledge of statistics and its applications for inferential data analysis. Hands on experience in statistical methods and machine learning with special emphasis on advanced algorithms like neural networks, SVM, random forests, bagging, gradient boosting machines, k-means++, reinforcement learning, etc. Familiarity with deep learning modeling using Tensorflow or Pytorch. Working knowledge of SQL and Python. Familiarity with Google Cloud Platform. Experience with data visualization techniques and concepts. Experience processing large amounts of data in a cloud environment, like AWS, GCP, etc. In pursuit of a Master’s or PhD in Data Science, Computer Science, Operations Research, Statistics, Mathematics, Economics or other relevant quantitative fields. Team oriented and collaborative with an aptitude and willingness to learn new methods and tools.
The hourly rate for undergraduate student interns is $30.00.
The hourly rate for graduate student interns is $35.00.
Additional Information
NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. NBCUniversal will consider for employment qualified applicants with criminal histories in a manner consistent with relevant legal requirements, including the City of Los Angeles Fair Chance Initiative For Hiring Ordinance, where applicable.
If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations in the US by calling 1-818-777-4107 and in the UK by calling +44 2036185726.
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Data Scientist | Eliassen Group |
Job Description
**100% Remote - must work EST** Our client, a leader in their industry, needs a Data Scientist with computer vision/image processing experience to join their team. We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Responsibilities of the Data Scientist:
Create computer vision AI/ML models based on use cases identified via business need Determine the model algorithm stack based on use case requirements Leverage shared libraries to accelerate development Define, train and score models following a common use case development path Work cross-functionally in AI/ML team to drive continued improvement of processes and deliver the next set of improvements Partner with other functions to drive long-term roadmap, improved capabilities, and share results/processes with the organization more broadly
Requirements of the Data Scientist:
Experience working with large imagery datasets and managing them for model training and scoring Knowledge of common imagery formats and their associated technical packages Experience with deep learning using PyTorth, Tensorflow, Keras Knowledge of designing ML models to use case specification Experience with scaling production models using containerization Fluency in Python; some experience with production pipeline coding - Java, Go, Scala PhD in computer science or related field preferred
Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact [email protected].
Job ID: 377922
About Eliassen Group:
Eliassen Group is a leading strategic consulting company that provides business and IT services for our clients as they seek to transform and execute strategies that will drive exceptional outcomes. Leveraging over 30 years of success, we focus on professional services, talent solutions, and life sciences. Eliassen Group offers local community presence and deep networks. We are committed to positively impacting the lives of our employees, clients, consultants, and the communities in which we operate.
Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!
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Sr Data Scientist | Fedex |
Job Summary: Provide expertise and leadership at the enterprise level related to vast quantities of data (including disparate data), enterprise analytics, statistical modeling, and initiatives. Leads staff in descriptive, predictive, prescriptive and ensemble modeling, advanced statistical techniques, use of database tools and/or other approaches in quantitative analysis of complex business situations. Creates and executes solutions from initial concept to fully tested production, and communicates results to a broad range of audiences. Advanced use of current and emerging technologies to evaluate trends and develop actionable insights and recommendations to management, via understanding of the business model and the information available for analysis. Uses data, statistical and quantitative analysis, explanatory and high complexity predictive modeling and fact based management to drive decision making. Mentors less senior staff. Leads cross functional teams. Routinely work on multiple highly complex assignments. Provides consultation to Sr. Leadership on a normal basis.Minimum Qualifications:Masters degree or equivalent in a quantitative discipline required. five (5) years work experience in measurement and analysis, quantitative business problem solving, operations analysis, marketing analysis, simulation and/or predictive analytics. superior analytical skills with diverse analytics and statistical software and applications. excellent interpersonal skills, written, and oral communication skills. Proven leadership skills.Domicile: This position will be domiciled in Memphis, TN. Remote Work: The ability to work remotely within the United States may be available based on business need.
Additional InformationSalary Range Estimate: Monthly Salary: $7,912.24 - $10,879.32. This compensation range is provided as a reasonable estimate of the current starting salary range for this role. Factors that may be used to determine your actual salary may include your specific skills, your work location, how many years of experience you have, and comparison to other employees already in this role.Upload current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire by close of business (5:00pm CST) on the date below. If the date below is blank, there is no specified closing date for this requisition.
Employee Benefits: Medical, dental, and vision insurance; paid Life and AD&D insurance; tuition reimbursement; paid sick leave; paid parental leave, paid vacation, and additional paid time off; geographic pay ranges; 401K with Company match and incentive bonus potential; sales incentive compensation for selling roles.
FedEx. Where now meets next.
Our vision is to be the earth's most engaged advocates of connected commerce where open borders, new markets and fair, sustainable practices are the norm for the billions of personal supply chains being managed every day in our always on, mobile-first world. We stand for ease, access and opportunity. We lead purposeful innovation, champion entrepreneurs, advocate free trade and empower humans and their place in the era of autonomy and AI. We fight for our customers, a more sustainable planet and an ethical playing field.
FedEx inspires its more than 570,000 team members to remain focused on safety, the highest ethical and professional standards and the needs of their customers and communities. FedEx is committed to connecting people and possibilities around the world responsibly and resourcefully, with a goal to achieve carbon-neutral operations by 2040.
FedEx has been recognized on many different lists both for business success and for being a great employer:
Fortune "World’s Most Admired Companies" – 2021Forbes "Best Employers for Diversity" - 2021LinkedIn "Top 100 Companies" - 2021TIME "100 Most Influential Companies" - 2021World HRD Congress "Best Gender Equality Workplace" – 2021InsiderPro ComputerWorld "Best Places to Work for IT" – 2021
FedEx Services is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, genetics disability, or protected Veteran status.
FedEx Services does not discriminate against qualified individuals with disabilities in regard to job application procedures, hiring, and other terms and conditions of employment. Further, FedEx Services is prepared to make reasonable accommodations for the known physical or mental limitations of an otherwise qualified applicant or employee to enable the applicant or employee to be considered for the desired position, to perform the essential functions of the position in question, or to enjoy equal benefits and privileges of employment as are enjoyed by other similarly situated employees without disabilities, unless the accommodation will impose an undue hardship. If a reasonable accommodation is needed, please contact [email protected].
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Data Scientist Ii | F5 |
At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation. Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.Today, as part of F5 Security team, we identify and stop automated attacks and fraud against web and mobile applications of the Fortune Global 2000. Tomorrow, we’ll need to fight even more sophisticated adversaries, while helping human users to have ever more friction-less experience. Come be a part of our unparalleled team that is responsible for making the Internet a safer place for everyone.The PositionWE are seeking a driven, analytical and highly professional data scientist to help deliver our anti-fraud solution to customers, and the future of what we build. You will enjoy working with one of the richest data sets in the world, cutting-edge technology, and the opportunity to train and deploy machine learning models to fight fraud, in real-time and on highly visible web and mobile applications.This Data Scientist will be part of a team that is responsible for delivering F5's anti-fraud solution to customers. You’ll have an opportunity to engage closely with customers, and become an expert in fraud across multiple use cases and industry verticals. We are looking for a data scientist who has a nose for identifying fraud and anomalous patterns in huge and often messy datasets, and who is adept at using these insights to build high-performance machine learning models. The ideal candidate will also have a penchant for working closely with enterprise customers, and a desire to deliver outstanding value to them.Responsibilities:
Work closely with customers to quickly understand their fraud challenges, and identify how F5 might be able to help them successfully fight fraud.
Identify useful data from customers’ web and mobile applications, and engineer relevant features for fraud models.
Train and deploy machine learning models to predict fraud outcomes, based on telemetry and customer-provided data.
Maintain models for customers, and update or refresh them as needed.
Communicate clearly and effectively with internal teams (sales, customer success, product, engineering, etc) and with customers on the performance of machine learning models, as well as other fraud and data science issues.
Provide feedback to internal teams on data science, product, engineering issues, and suggest process improvements.
Requirements:The ideal candidate would have:
Strong analytical skills including the ability to manipulate, model, interpret and visualize large quantities of structured data.
Strong proficiency in Python and SQL
Experience with building and deploying machine learning models on large-scale data. Experience working with highly unbalanced data (e.g. commonly found in fraud use cases) a strong plus.
A passion for delighting customers, and an aptitude for engaging with customers on fraud, security and machine learning issues on a regular basis. Prior experience working with customers on complex fraud or security issues would be a strong plus.
Familiarity with common web and mobile technologies.
Strong interpersonal skills, personable, and persistent. A good listener. Self-motivated, able to work well both independently and as part of an agile team.
A demonstrated enthusiasm and capacity to learn new technologies quickly.
A scrappy yet meticulous approach, and a love for problem solving!
#LI-AP1#LI-REMOTEThe Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Yello/Workday (ending with f5.com or @myworkday.com).Equal Employment OpportunityIt is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination. F5 offers a variety of reasonable accommodations for candidates. Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting [email protected].
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Data Scientist Iii | F5 |
At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation. Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.Today, as part of F5 Security team, we identify and stop automated attacks and fraud against web and mobile applications of the Fortune Global 2000. Tomorrow, we’ll need to fight even more sophisticated adversaries, while helping human users to have ever more friction-less experience. Come be a part of our unparalleled team that is responsible for making the Internet a safer place for everyone.The PositionWE are seeking a driven, analytical and highly professional data scientist to help deliver our anti-fraud solution to customers, and the future of what we build. You will enjoy working with one of the richest data sets in the world, cutting-edge technology, and the opportunity to train and deploy machine learning models to fight fraud, in real-time and on highly visible web and mobile applications.This Data Scientist will be part of a team that is responsible for delivering F5's anti-fraud solution to customers. You’ll have an opportunity to engage closely with customers, and become an expert in fraud across multiple use cases and industry verticals. We are looking for a data scientist who has a nose for identifying fraud and anomalous patterns in huge and often messy datasets, and who is adept at using these insights to build high-performance machine learning models. The ideal candidate will also have a penchant for working closely with enterprise customers, and a desire to deliver outstanding value to them.Responsibilities:
Work closely with customers to quickly understand their fraud challenges, and identify how F5 might be able to help them successfully fight fraud.
Identify useful data from customers’ web and mobile applications, and engineer relevant features for fraud models.
Train and deploy machine learning models to predict fraud outcomes, based on telemetry and customer-provided data.
Maintain models for customers, and update or refresh them as needed.
Communicate clearly and effectively with internal teams (sales, customer success, product, engineering, etc) and with customers on the performance of machine learning models, as well as other fraud and data science issues.
Provide feedback to internal teams on data science, product, engineering issues, and suggest process improvements.
Requirements:The ideal candidate would have:
Strong analytical skills including the ability to manipulate, model, interpret and visualize large quantities of structured data.
Strong proficiency in Python and SQL
Experience with building and deploying machine learning models on large-scale data. Experience working with highly unbalanced data (e.g. commonly found in fraud use cases) a strong plus.
A passion for delighting customers, and an aptitude for engaging with customers on fraud, security and machine learning issues on a regular basis. Prior experience working with customers on complex fraud or security issues would be a strong plus.
Familiarity with common web and mobile technologies.
Strong interpersonal skills, personable, and persistent. A good listener. Self-motivated, able to work well both independently and as part of an agile team.
A demonstrated enthusiasm and capacity to learn new technologies quickly.
A scrappy yet meticulous approach, and a love for problem solving!
#LI-AP1#LI-REMOTEThe Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Yello/Workday (ending with f5.com or @myworkday.com).Equal Employment OpportunityIt is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination. F5 offers a variety of reasonable accommodations for candidates. Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting [email protected].
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Sr Data Scientist | F5 |
At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation. Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.Today, as part of F5, Security products identify and stop automated attacks and fraud against web and mobile applications of the Fortune Global 2000. Tomorrow, we’ll need to fight even more sophisticated adversaries, while helping human users to have ever more friction-less experience. Come be a part of our unparalleled team that is responsible for making the Internet a safer place for everyone.The PositionWE are seeking a driven, analytical and highly professional data scientist to help deliver our anti-fraud solution to customers, and the future of what we build. You will enjoy working with one of the richest data sets in the world, cutting-edge technology, and the opportunity to train and deploy machine learning models to fight fraud, in real-time and on highly visible web and mobile applications.This Data Scientist will be part of a team that is responsible for delivering F5's anti-fraud solution to customers. You’ll have an opportunity to engage closely with customers, and become an expert in fraud across multiple use cases and industry verticals. We are looking for a data scientist who has a nose for identifying fraud and anomalous patterns in huge and often messy datasets, and who is adept at using these insights to build high-performance machine learning models. The ideal candidate will also have a penchant for working closely with enterprise customers, and a desire to deliver outstanding value to them.Responsibilities:
Work closely with customers to quickly understand their fraud challenges, and identify how F5 might be able to help them successfully fight fraud.
Identify useful data from customers’ web and mobile applications, and engineer relevant features for fraud models.
Train and deploy machine learning models to predict fraud outcomes, based on telemetry and customer-provided data.
Maintain models for customers, and update or refresh them as needed.
Communicate clearly and effectively with internal teams (sales, customer success, product, engineering, etc) and with customers on the performance of machine learning models, as well as other fraud and data science issues.
Provide feedback to internal teams on data science, product, engineering issues, and suggest process improvements.
Requirements:The ideal candidate would have:
Strong analytical skills including the ability to manipulate, model, interpret and visualize large quantities of structured data.
Strong proficiency in Python and SQL
Experience with building and deploying machine learning models on large-scale data. Experience working with highly unbalanced data (e.g. commonly found in fraud use cases) a strong plus.
A passion for delighting customers, and an aptitude for engaging with customers on fraud, security and machine learning issues on a regular basis. Prior experience working with customers on complex fraud or security issues would be a strong plus.
Familiarity with common web and mobile technologies.
Strong interpersonal skills, personable, and persistent. A good listener. Self-motivated, able to work well both independently and as part of an agile team.
A demonstrated enthusiasm and capacity to learn new technologies quickly.
A scrappy yet meticulous approach, and a love for problem solving!
#LI-RemoteThe Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.The annual U.S. base pay range for this position is: $160,499.00 - $240,749.00F5 maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, geographic locations, and market conditions, as well as to reflect F5’s differing products, industries, and lines of business. The pay range referenced is as of the time of the job posting and is subject to change.You may also be offered incentive compensation, bonus, restricted stock units, and benefits. More details about F5’s benefits can be found at the following link: https://www.f5.com/company/careers/benefits. F5 reserves the right to change or terminate any benefit plan without notice. Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Yello/Workday (ending with f5.com or @myworkday.com).Equal Employment OpportunityIt is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination. F5 offers a variety of reasonable accommodations for candidates. Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting [email protected].
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Staff Data Scientist Marketplace | Cookunity |
The Role
Reporting to the Head of Data, this role presents a unique and exciting opportunity to lead our data science practice.
A key area of focus will be on our marketplace dynamics and supply:demand liquidity. You will use data to understand our customers, whether it be building eater personas and taste profiles or advancing our search and recommender engine capabilities.
Responsibilities
Structure business problems, build predictive models, and oversee the implementation into production. Putting a key initial focus on our supply and menu, to personalize our large assortment for the many preferences that we all have as eaters.
Partner with our supply leadership to create a data-driven framework for optimizing supply and demand elasticities through experimentation and predictive modeling. What chefs and meals should we add next?
Develop and implement online and offline testing and validation methodologies. What was the incrementality of adding African meals in Austin? What is the optimal rotation of our menu each week?
Provide thought leadership on data science best practices, trends, and emerging technologies. Leverage LLMs to build a prototype CookUnity ‘waiter’ menu experience or a ‘taste profile’ for each customer.
Oversee the creation of a modern, best-in-class data science infrastructure, partnering with engineering.
Provide mentorship and guidance to data scientists, promoting best practices and professional development.
Qualifications
6+ years of experience in data science or related fields.
Proven experience in applying machine learning and statistics to create and expand competitive advantages and company growth. Experience in any of the following is a big plus: Marketplace, Subscription, and Food industry.
Strong programming (Python / Scala / Java / C++ or equivalent) skills.
Utilize OSS ML technologies such as PyTorch, TensorFlow, Spark, Airflow.
A strong understanding of various algorithms' real-world advantages and drawbacks and the ability to measure success.
MS or higher in Computer Science, Statistics, Data Science, Mathematics, Economics, Sociology, Natural Sciences, or any equivalent field is helpful.
Benefits
🩺 Health Insurance coverage
⛱ PTO policy and paid sick days.
📈 We grow, you grow: Stock Options Plan granted on Day 1.
🐣 Family leave: 12 weeks for primary caregiver and 6 weeks for secondary caregiver, fully paid.
🕯 Compassionate Leave: 3-5 days each time the need arises.
🥘 A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly.
🧘🏽♀️ Wellness perks: access to a nutritional coach and fitness subsidies to build a healthy lifestyle.
👩🏾🏫 Personalized Spanish coach.
🌟 Awesome opportunity to join a company that is looking to change how we eat and how chefs work!
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Data Scientist | Numerade |
Numerade is seeking a Data Scientist to join our mission. You will have the opportunity to collaborate with partners across the company, and push the boundaries of leveraging data to improve student and educator success!
In this role, you’ll get to:
Solve complex business problems by leveraging our available data or by creating new datasets in collaboration with engineering teams
Generate actionable insights for the business using statistical and data visualization techniques
Collaborate with product/engineering teams to design and analyze experiments to optimize business metrics
Communicate results and impact to product and business stakeholders
Turn models into data products, collaborate with engineering and business teams
You’ll bring:
PhD, MS, or 3+ years research experience in data science, computer science, information retrieval, statistics, or another quantitative/computational discipline
Expertise with SQL and relational databases, especially in working with large and complex datasets
2+ years coding experience, Python required
Experience with manipulating large structured or unstructured datasets for analysis
Familiarity with A/B tests and experiment design
Experience working with datasets and data-related frameworks in a cloud environment such as AWS, GCP, or Azure
Experience with recommendation systems and personalization a plus
Familiarity with modeling behavioral/user data a plus
Experience using NLP methods a plus
Experience building statistical inferential models a plus
Experience with building data products, either internal or consumer-facing a plus
Have a passion for empirical research and for answering hard questions with data
Have a proven record of solving challenging problems in academia and/or industry
Eager to collaborate with both technical and non-technical colleagues in content, product management, marketing, and executive leadership groups
Excellent analytical and problem-solving skills
Strong oral and written communication skills
Interview Process (video call):
Intro call - 30 min with Ivy, Head of People to discuss the role and your background
Technical call - 30 min with Jackie, VP of Engineering to understand your experience
Final group technical call - 60 min with Jackie, and Raj, Lead Data Scientist to learn more about your experience and skills set.
Benefits and Perks:
Work from home, or wherever. We’re remote-first!
Competitive salary with a significant upside in equity
Health + dental + vision coverage offered for both employees and their dependents
401k plan
Flexible PTO, holiday, and leave policies, including paid parental leave for new parents - We want you to take time to relax, recharge, and reset!
Tons of opportunities for advancement!
The base salary range for this position is $95,000- $135,000 annually. Please note that individual total compensation for this position will be determined at the Company's sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, qualifications and other business considerations.
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Senior Data Scientist | Spokeo |
Spokeo is a people search engine that both enlightens and empowers our customers. With over 12 billion records and 14 million visitors per month, we reconnect friends, reunite families, prevent fraud, and more. Every day our nimble team takes on enormous challenges in data science that push the limits of the cloud and search architecture.
We are looking for a Senior Data Scientist to help us turn our vast repository of data into usable information, leveraging solutions that include matching techniques, machine learning, and graph theory to resolve entities across disparate data sets and discover relationships among those entities.
Deliverables, including estimated time of how much of an average week is spent doing each item - this is subject to change:
25% - Drive informed and timely decision-making that improves and optimizes the way our products are created, executed, and adopted.
20% - Collaborate with product, marketing, and engineering to understand the needs of the company by utilizing data to drive product decisions and strategy.
15% - Create automated anomaly detection systems and quality assurance metrics to track performance constantly.
15% - Communicate best practices in quantitative analysis and develop cross-functional partnerships.
15% - Perform Ad-hoc analysis and present results.
10% - Keep up to date with the latest technology trend to apply them to our business challenges.
Requirements:
Advanced degree in Machine Learning, Computer Science, Engineering, Statistics, Applied Math, or other quantitative fields.
Minimum of 3 years of any internet or large B2C working experience in analytics, data mining, data visualization, and/or predictive modeling.
Proficiency in working with SQL and Python
Excellent communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment
Proven ability to lead and execute projects from start to finish with minimal guidance in a fast-paced environment.
Ability to create visuals, dashboards, and reports to communicate insights effectively.
Spokeo offers a bonus program, equity plans, and 401K matching for qualified roles. Twice a year, we do discretionary, merit-based salary increases. Additional benefits include; 100% coverage for medical/dental/vision for all employees and unlimited PTO.
Spokeo extends written offers to candidates who successfully complete their selection process. Spokeo’s offers include a base salary, participation in a company bonus program, stock options, and comprehensive benefits. A final offer will depend on several factors, including, but not limited to: marketplace competition, job leveling, the candidate’s experience, skills, etc.
Privacy Notice for Candidates: https://www.spokeo.com/recruiting-policy
Spokeo is an equal-opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. Spokeo fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best products, and be relevant in a rapidly changing world.
Recruiters or staffing agencies: Spokeo is not obligated to compensate any external recruiter or search firm who presents a candidate or their resume or profile to a Spokeo employee without 1) a current, fully-executed agreement on file, and 2) being assigned to the open position (as a search) via our applicant tracking solution.
#LI-Remote
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Data Scientist | Thyme Care |
Thyme Care is a value-based oncology management platform that provides personalized, clinically coordinated care to individuals with cancer. Thyme Care pairs human guidance with software and analytics to engage members with a cancer diagnosis, quickly connects them to the right care and provides ongoing support through targeted, evidence-based interventions. The company’s unique approach establishes deep provider relationships and integrates with a health plan’s existing infrastructure, coordinating value-driven care that leads to better outcomes, lower costs and an improved member experience. Backed with venture funding from Andreessen Horowitz (a16z), AlleyCorp, Frist Cressey Ventures, Casdin Capital and Bessemer, Thyme Care partners with health insurance plans and providers to extend the reach of high-quality cancer care through flexible value-based payment arrangements, including risk-based programs.
Your Role:
As a Data Scientist, you will join our Data team to help us build and maintain strong analytic capabilities that will support Thyme Care’s mission. You will model data and create visualizations to report to stakeholders and deliver insights that drive action. To excel in this role, you should have experience working with healthcare data such as claims, prior auth, and electronic health records.
In this position, you will collaborate with our Product, Engineering, Clinical, and Operations teams to identify opportunities to further improve outcomes and track the efficacy of our interventions as we serve our members and clients. You will help us establish deep provider relationships by building data products to aid in practice transformation efforts.
After three months you will:
Gained a deep understanding of our data platform and contributed to improving our data models and pipelines.
Built relationships with oncology practices and providers and demonstrated Thyme Care’s expertise in building data & analytics products.
Collaborated with stakeholders to understand their business requirements and translate them into technical plans. This involves developing data models, pipelines, and analytics dashboards with Looker or RStudio. For example, you may use dbt to build models that analyze medical claims data to identify utilization of value care across oncology practices or analyze dispersion of medical care among our members and its impact on out-of-pocket costs.
After 6 months you will:
Take ownership and led the development of data models to measure the effectiveness of our interventions with oncology practices and report outcomes internally and externally.
Play a key role in building our data infrastructure and creating a roadmap for scalable and modular data architecture to support our team's growth.
Lead the development of utilization and quality metrics and become the go-to person for resolving stakeholder inquiries. Additionally, you will leverage our data assets for business opportunities and strategic initiatives at Thyme Care .
What leads to success:
Act with our members in mind. Thyme Care’s mission, and in particular our member experience, matters deeply to you.
Move with purpose. You’re biased to action. You know how to identify and prioritize your initiative’s needs, and do what it takes to ensure that urgent and important needs are acted on immediately.
Seek diverse perspectives. You are humble and actively seek feedback from others, eager to learn and share knowledge.
Experience. You have worked with large healthcare datasets, ideally in a health plan or healthcare-focused technology startup with mature data structures and pipelines as an Analytics Engineer or Data Engineer. Experience with medical claims, pharmacy claims, eligibility files, and other relevant healthcare data is essential for building data marts for reporting and analysis.
Technical ability. You are proficient in analytical, data modeling, and data transformation is crucial. Familiarity with DBT is preferred, but we are open to candidates willing to learn it quickly. A working knowledge of Python or R and experience with Looker or similar BI tools for data analysis and visualization is a plus.
Clear communication. You can effectively convey your thoughts and ideas to both technical and non-technical colleagues and stakeholders.
Comfort with ambiguity. You have a successful track record working at scaling organizations, in fast-paced environments, and at ambitious startups. You navigate through challenges and find solutions in uncertain situations.
OUR VALUES
At Thyme Care, our core values—Act with our members in mind, Move with purpose, and Seek diverse perspectives—guide us in everything we do. They anchor our business decisions, including how we grow, the products we make, and the paths we choose—or don’t choose.
We are committed to promoting the health and well-being of all individuals. As a provider of cancer care navigation, we recognize that those with cancer constitute a vulnerable population at risk of contracting COVID-19. As such, Thyme Care employees are expected to be fully vaccinated against COVID-19 as defined by the Centers for Disease Control and Prevention, subject to conflicting laws and exemptions based on medical or religious objections.
Our salary ranges are based on paying competitively for our size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Thyme Care. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity relative to other Thyme Care employees. In accordance with New York City law, the base salary for this role if filled within New York City is $135,000-$150,000. The salary range could be lower or higher than this if the role is hired in another location. We also believe that your personal needs and preferences should be taken into consideration so we allow some choice between equity and cash.
We recognize a history of inequality in healthcare. We’re here to challenge the status quo and create a culture of inclusion through the care we give and the company we build. We embrace and celebrate a diversity of perspectives in reflection of our members and the members we serve. We are an equal opportunity employer.
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Subsets and Splits