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Lead Data Science Analyst Forecasting Team | Discover |
About This Role
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
As a Finance Data Science Analyst on the Loss Forecasting Team, responsible for working closely with management to execute analytical initiatives. Responsible for solving business problem by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. Creates reports and dashboards to closely monitor performance metrics and provide insights. This can be a remote role, based out of Riverwoods, Il.
Responsibilities
Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems. 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. Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implements tests to drive strategy enhancement and optimization.Manages multiple priorities, communicate business performance and project progress to management & business partners.Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Facilitates implementation of work product and ensure accuracy.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, or Statistics4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related.
Preferred Qualifications
If we had our say, we’d also look for:
Master's degree in Analytics, Engineering, Mathematics or Statistics2+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related
#LI-CR1
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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Lead Data Science Analyst | Discover |
About This Role
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
Responsibilities
Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems. 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. Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information. Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implements tests to drive strategy enhancement and optimization. Manages multiple priorities, communicate business performance and project progress to management & business partners. Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Facilitates implementation of work product and ensure accuracy. 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, or Statistics 4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related.
Preferred Qualifications
If we had our say, we’d also look for:
Master's Degree in Analytics, Engineering, Mathematics or Statistics 2+ years of experience in 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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Data Scientist Skills Product Platform | Pluralsight |
This position is also available for employment in these areas:Remote - USA, Remote - UtahJob Description:At Pluralsight, you will be part of an established team of collaborative data scientists supporting our Skills product platform. You will work closely with multiple teams to identify and implement improvements to our Skills platform powered by data science. This role is a good fit for hands-on data scientists who enjoy experimenting with new ideas and working with cloud computing technologies. That’s you, right? Who you’re committed to being:
Critical problem solver who understands how data science can solve business problems
Interpreter who finds trends and patterns in disparate data
Independent creator of models, analyses, and visualizations
Communicator able to translate technical details into business insights
Partner to internal stakeholders who share high-value business objectives
What you’ll own:
Applying data science to content search and discovery challenges
Cross-functional project collaboration on data science deliverables
Development and implementation of analyses and predictive models
Continuous testing and improvement of deployed solutions
Explanation of algorithms to business partners, eliminating “black box” distrust
Presentation of results to business partners and company leaders
Experience you’ll need:
Applying statistics and data science theories and techniques
Working with popular data science languages and tools (Python, R, Jupyter Notebooks, scikit-learn, pandas, tensorflow, pytorch)
Using SQL and relational databases as well as big data platforms (Snowflake, Kafka)
Producing effective and interactive data visualizations (Tableau, Shiny, Dash)
Preferred but not required: Familiarity with cloud computing (AWS), Airflow, NLP, and recommender systems
Working at PluralsightFounded in 2004 and trusted by Fortune 500 companies, Pluralsight is the technology skills platform organizations and individuals in 150+ countries count on to innovate faster and create progress for the world. At Pluralsight, we believe everyone should have the opportunity to create progress through technology. That everyone should have access to the skills of tomorrow. That technology can make the world a better place. Through the work we do every day, we empower the people who power our world. And we don’t let fear, egos or drama distract us from our mission. Our mission to democratize technology skills is what drives us and our values are at the helm of how we work together. It’s our commitment to practicing them day in, day out that enables our performance. We’re adults, and we treat each other that way. We have the autonomy to do our jobs, transparency to eliminate office politics and trust each other to do the right thing. We thrive in an environment with creativity around every corner, challenges that keep us on our toes, and peers who inspire us to be the best we can be. We bring different viewpoints, backgrounds and experiences, and united by our mission, we are one. Be yourself. Pluralsight 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.#LI-SK#LI-Remote
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Senior Manager Data Science And Machine Learning | Spring Health |
Our mission: to eliminate every barrier to mental health.
Spring Health is a comprehensive mental health solution for employers and health plans. Unlike any other solution, we use clinically validated technology called Precision Mental Healthcare to pinpoint and deliver exactly what will work for each person — whether that’s meditation, coaching, therapy, medication, and beyond.
Today, Spring Health equips over 800 companies, from start-ups to multinational Fortune 500 corporations, as a leading and preferred mental health service. Companies like General Mills, Guardian, Bain, and Instacart use the Spring Health platform to provide mental health services to thousands of their team members globally. We have raised over $300 million from prominent investors including Kinnevik, Tiger Global, Northzone, RRE Ventures, Rethink Impact, Work-Bench, William K Warren Foundation, SemperVirens, Able Partners, True Capital Ventures, and a strategic investor, Guardian Life Insurance. Thanks to their partnership, our current valuation has reached $2 billion.
Ready to do the most impactful work of your life? Learn more about what motivates us and the ways we work to see if this is the right place for you: Our Values
We are looking for an exceptional hands-on data science leader to drive the analytics vision and roadmap for our Caregiver Experience team. This cross functional product team is focussed on building out tools and workflows to support the entire Spring Health Care team in the delivery and coordination of world class virtual and in-person mental health care. This is an exciting opportunity to design and implement innovative data products that will ensure a high quality caregiver and member experience as well as contribute to and move the science and practice of mental health forward.
What you'll be doing
Conceptualize, design and execute an ambitious data science roadmap for our caregiver experience team in partnership with product, engineering and care team leads.
You will lead, mentor and manage a team of data scientists in building out product analytics across our caregiver experience team, helping shape goals, metrics, experimentation and dashboards
Coach and mentor data scientists on the team to ensure their continued growth
Define the key success metrics that provider insight into the health of our caregiver experience and quality and uncover opportunities to improve these metrics
Lead the team in designing A/B tests and defining product telemetry to inform development and prioritization of new product feature releases.
Steer the team to create predictive and ML models to enhance our caregiver experience and network quality, including a personalized patient provider matching system and models that can measure and incentivize provider quality and outcomes
Perform analytical deep-dives to proactively identify product opportunities and inform experimentations and product roadmaps.
What we expect from you
You are passionate about changing the face of mental health care and Spring Health’s mission to remove all barriers to mental health resonates with you
7+ years of professional experience in a data science role, and at least 3+ years in a leadership or management capacity.
You have experience in a broad spectrum of data science techniques (machine learning, causal inference, A/B test experimentation frameworks, NLP etc) and are excited to apply them to solve complex clinical or business problems
Experience using, building and enabling analytics infrastructure (ie data, analytics and ML pipelines)
Strong presentation and stakeholder management skills — fluently tell a compelling clinical or business story with dataProficiency with SQL and a statistical analysis language (R/Python)
Ability to work in a fast-paced, mission-driven environment
Proximity to NYC or willingness to travel once a quarter to NYC
What we'd love to see (Bonus):
Experience in defining product logging/telemetry and collaborating with engineering team on refining requirements and QA
Significant experience extracting insights from large data sets (structured and unstructured)
Experience with data modeling for reporting and analysis using tools such as dbt or similar
Experience collaborating with user research teams
Previous experience working in a fast-paced environment
Don’t meet every requirement? Studies have shown that women, communities of color and historically underrepresented talent are less likely to apply to jobs unless they meet every single qualification. At Spring Health we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we strongly encourage you to apply. You may be just the right candidate for this or other roles!
Benefits of working at Spring Health:
Focus on total health including:
Generous medical, dental, vision coverage available day 1 + access to One Medical
12 yearly no-cost visits to the Spring Health network of therapists and medication management providers for you and your dependents
Unlimited paid time off in addition to 12 paid holidays throughout the year
4-4.5 months of fully paid parental leave
$500 per year Wellness Reimbursement
Supporting you financially through:
Our People team benchmarks all salaries to ensure all team members are paid competitively. On top of a competitive salary, Spring Health offers stock options that begin vesting one year into your role at the company
Employer sponsored 401(k) match of up to 2% after 90 days of employment
Creating a culture you can thrive in:
Flexible work arrangements: 60% of Spring Health team members work fully remote while 40% work in a hybrid model from our New York City offices
Calm Fridays: no meetings, no distractions, just time for you to get work done.
$200 per year donation matching to support your favorite causes
Our team members have created five employee resource groups thus far and looking to add on more
In addition to finding people who are truly excellent at what they do, we take our values at Spring Health seriously:
Members Come First We are genuine member advocates.
Move Fast to Change Lives We build with urgency and intention.
Take Ownership We extend trust and hold ourselves accountable.
Embrace Diverse Teams & Perspectives We find strength in the diversity of cultural backgrounds, ideas, and experiences.
Science Will Win We will achieve impact by innovation and evidence based frameworks.
Candor with Care We are open, honest and empathetic.
Ready to do the most impactful work of your life? Learn more about what motivates us and the ways we work to see if this is the right place for you: Our Values
Spring Health 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, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.
#LI-remote
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Senior Data Scientist | Mission Lane |
Mission Lane’s Data Science Team is looking for a Senior Data Scientist to join us.
You’ll be a successful Senior Data Scientist if:
You’re personally motivated to help improve the financial health of the 100 million working-class Americans who live paycheck-to-paycheck
You’ve created, deployed, and managed supervised learning models in production systems for vital applications
You enjoy being a technical mentor. You share best practices for software engineering and can help smart, educated, people with hard mathematical problems.
You consider yourself a generalist data scientist and are more motivated by practical solutions than theoretical elegance
You practice solid fundamentals with software engineering (test-driven development, code review, refactoring) and the PyData stack (numpy, scikit-learn, pandas, etc.)
You can communicate, collaborate, compromise, and be sensitive to the needs of clients and your teammates
We are offering:
A low-ego, respectful, data science team committed to solving practical problems together
The chance to work at a company where data science is at the heart of the business and integral to both our day-to-day operation and our executive team’s strategic vision
Flexible work hours and flexible work location (even after the pandemic)
A generous parental leave policy
Excellent opportunities for career growth, with both management and technical tracks for advancement
A team that values learning and approaches work with a “growth mindset”
A competitive salary, equity, and a full benefits package (health, dental, vision, 401k)
You might be particularly excited about the role if you want:
To work on fairness, accountability, and transparency in machine learning (FAccT ML) or explainable AI (XAI)
To find practical ways to apply modern innovations from diverse research areas like Causal Inference, Cost-Sensitive Machine Learning, and Time Series Classification
To use distributed computing systems like Spark and Snowflake to manipulate data
If you’re excited about the role and aren’t sure if you meet all the requirements - we want you to apply anyway! We believe people can contribute to our team in a wide variety of ways and want to meet people who find meaning in our mission and our technical work compelling.
Job Location: Remote or Richmond, Virginia
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Data Scientist Brand Protection | Amazon |
DESCRIPTION
Job summaryAre you interested in helping Amazon ensure that customers make great purchase decisions and that the world's most recognized Brands using Amazon are successfully listing and selling their products? The Brand Protection team designs and builds high performance software systems using machine learning that identify and prevent abuse on behalf of brand owners worldwide. We are looking for a Data Scientist to join the Amazon Brand Protection team to help us to continue to scale Worldwide.As a Data Scientist in the team, you will be driving the analytics roadmap and will provide descriptive and predictive solutions to the business team through a combination of data mining techniques as well as use statistical and machine learning techniques for segmentation and prediction. You will need to collaborate effectively with internal stakeholders, cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards.The ideal candidate is an experienced and motivated Data Scientist (DS) with outstanding leadership skills, proven ability to build and manage Large-scale modeling projects, identify data requirements, and build methodology and tools that are statistically grounded. The candidate will be an expert in the areas of data science, machine learning and statistics, and is comfortable facilitating ideation and working from concept through to execution. The successful Data Scientist will have the extreme bias for action needed in a startup environment.To succeed in this role you should be passionate about working with large datasets and be someone who loves to bring data together to answer key business questions. You should have deep expertise in the creation and management of datasets and the proven ability to translate the data into meaningful insights. You should have a solid understanding of efficient and scalable data mining and an ability to use the data in financial and statistical modeling.Key job responsibilities• You will extract huge volumes of data from various sources and construct complex analyses.• You should be detail-oriented and must have an aptitude for solving unstructured problems. You should work in a self-directed environment, own tasks and drive them to completion• You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions. You own customer relationship about data and execute tasks that are manifestations of such ownership, like ensuring high data availability, low latency, documenting data details and transformations and handling user notifications and training• You will work with distributed machine learning and statistical algorithms upon a large Hadoop cluster to harness enormous volumes at scale to serve our customers
BASIC QUALIFICATIONS
5+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)4+ years working as a Data Scientist
• Masters with two years of relevant experience or a Bachelor’s degree in Statistics, Mathematics, Operations Research, Economics, Computer Science, Engineering or a related quantitative field with five years of working experience as a Data Scientist• Experience with statistical analysis, research science, machine learning and deep learning techniques, data modeling, regression modeling, financial analysis, and demand modeling• Excellent written and verbal communication skills. Strong ability to interact, communicate, present, and influence within multiple levels of the organization.• Experience in Statistical Software such as R, Weka, SAS, SPSS• Able to write SQL scripts for analysis and reporting (Redshift, SQL, MySQL)• Experience using one or more Python, R, Java, C++ VBA, MATLAB, programming languages• Proficiency with TABLEAU/R Shiny/Dash or other web-based interfaces to create graphic-rich customizable plots, charts data maps etc.
PREFERRED QUALIFICATIONS
• Previous experience in a ML or data scientist role with a large technology company• Experience in an operational environment developing, fast-prototyping, piloting and launching analytic products• Experience in writing academic-styled papers for presenting both the methodologies used and results for data science projects.• Experience with AWS services (Redshift, S3, EC2, Lambda, SNS/SQS, RDS, Aurora) preferred.• Ability to distill informal customer requirements into problem definitions, quantify improvement in customer experience or value for the business resulting from research outcomes, dealing with ambiguity and competing objectives.• Demonstrated industry leadership in the fields of Database and/or Data Warehousing, Data Sciences and Big Data processing.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Workers in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation, including medical or religious accommodation.
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Data Scientist Aws Activate | Amazon |
View transcript
DESCRIPTION
Job summaryThe AWS Activate Program provides startups the resources they need to grow successfully on AWS. We do this by understanding the uniqueness of each and every startup that applies for Activate, and then personalizing the resources we make available to them. Our resources include (but are not limited to) AWS service credits, Business Support credits, technical education and training, opportunities for business and technical mentorship from Amazonians and startup peers, and personalized growth benefits. The Activate Personalization Team is the brains behind the Activate system. This team is responsible for ingesting startup data from multiple internal and external services, aggregating it into a holistic startup profile, and creating and productionizing ML models. Our team is looking for an experienced Data Scientist (DS) with outstanding leadership skills and the proven ability to build and manage medium-scale modeling projects. The candidate will be an expert across multiple data science domains including data transformation, machine learning, and statistics. Key job responsibilities
Research cutting edge algorithms, develop new models, and design and run experiments to improve customer personalizationPartner with scientists, engineers and product leaders to solve business and technology problems using scientific approaches to build new services that surprise and delight our customersCollaborate with BI/Data Engineer teams and drive the collection of new data and the refinement of existing data sources to continually improve data qualityManipulate/mine data from databases (Redshift, SQL Server, Oracle DW, and Salesforce)
BASIC QUALIFICATIONS
Master's degree in Statistics, Mathematics, Data Science, Business Analytics, Economics, Finance, Engineering, or Computer Science, or a related quantitative field or equivalent experience2+ years of experience with data querying languages (e.g. SQL, Hadoop/Hive, Scala) and statistical/mathematical software (e.g. R, Matlab, Stata)2+ years working experience as a Data Scientist or related positions
PREFERRED QUALIFICATIONS
Experience in an operational environment developing, fast-prototyping, piloting and launching analytic productsExperience in writing academic-styled papers for presenting both the methodologies used and results for data science projectsExperience with AWS services (Redshift, S3, EC2, Lambda, SNS/SQS, RDS, Aurora)Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
• The pay range for this position is $136,000 - $207,500 (yr.); however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered.
*This information is provided per the Colorado Equal Pay Act, the Pay Transparency Regulation of Jersey City Municipal Code, the New York City Human Rights Law. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Workers in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation, including medical or religious accommodation.
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Data Scientist Ii Ai Data Team | Amazon |
DESCRIPTION
Job summaryThe AI Data Team in Amazon Web Services (AWS) is looking for a Data Scientist with a passion for developing innovative methods to maximize the power of natural language data. This position is an opportunity to apply your expertise in a challenging but supportive environment. The position may be remote, with a preference for Santa Clara, Seattle, or New York City. We work in distributed teams, and strengthen our connections by traveling approximately five days per quarter for in person meetingsThe mission of the AI Data Team is to engineer the datasets critical to the success of AWS’s machine learning services. From chatbots to subtitles to search results and beyond, these products support dozens of languages and impact millions of people every day. We are a group of language engineers, linguists, data scientists, data engineers, and program managers, and we partner closely with the science, engineering, and product teams. We are customer obsessed and committed to delivering results with the highest quality and integrity.As a Data Scientist, you will start by learning the full context of critical projects for Lex, a conversational AI service used for building chatbots, consulting with stakeholders in science, engineering, and product teams. You will determine the appropriate metrics for data analysis and quality checks on data annotations, to ensure that the data is optimized for developing models that exceed customer expectations. You will consider domain gaps, data bias, and data noise in your analysis. You will design and write Python packages for these processes, and work with data engineering to implement them in data pipelines built to scale.You will also work with language engineers to understand the challenges we face in producing or acquiring data, and in generating high quality labels. You will stay up to date on developments in the field of data-centric AI, and experiment with new techniques for data cleaning, labeling, and augmentation. You will share your results in written documents and presentations to the data team and stakeholders. You will scale these methods for ongoing data collection and annotation, collaborating with data engineering as necessary.You will then contribute to large data team initiatives to design and build technical assets such as data warehousing and analytics tooling that support multiple programs. You will gain an understanding of data collection methods across the data team, and write code to provide metrics and insights across datasets that ensures the data is discoverable and reusable.Key job responsibilities* Design and write Python packages for analyzing natural language datasets, including domain gaps, data bias, and data noise* Develop innovative techniques for data cleaning, labeling, and augmentation, and scale these methods for ongoing data collection and annotation* Contribute to large initiatives for data warehousing and analytics tooling, writing code to provide metrics and insights across datasets that ensures the data is discoverable and reusable
BASIC QUALIFICATIONS
* Degree in a quantitative field such as computer science, mathematics, or computational linguistics* 3+ years hands on experience as a data scientist in an industry setting, including statistical modeling and data visualization* Proficiency in Python* Experience with natural language data and NLP techniques* Experience working with stakeholders such as product and engineering teams
PREFERRED QUALIFICATIONS
* Experience in developing and evaluating data annotation and data quality metrics* Experience using AWS tools and services* Strong written and verbal communication skills, with an ability to present complex technical information in a clear and concise manner to a variety of audiences* The pay range for this position is $136,000 - $207,500 (yr.); however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. *This information is provided per the Colorado Equal Pay Act, the Pay Transparency Regulation of Jersey City Municipal Code, the New York City Human Rights Law. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Workers in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation, including medical or religious accommodation.
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Lead Data Science Strategist | State Farm |
Overview
State Farm is hiring an exceptional Lead Data Science Strategist to drive out the Data Science Strategy, and direction for Big Data Analytics across our organization. Reporting directly to the Executive of Enterprise Technology, this role serves as a key member of the Leadership team and is regarded as the highest level of Data Science technical leadership. The Lead Data Science Strategist is the key advisor on data science to all levels of leadership, consulting cross-functionally on broad, complex initiatives regarding big data, mathematics, statistics and technology. This role also develops best practices for analytics and data science, driving the development of a data driven enterprise with a common set of values, while also developing the State Farm brand in the public data science community through publications and other works that grow our value in the community.
Responsibilities
Consults and Informs for the overall direction of data science at State Farm, leading complex, sensitive and challenging data science projects with long term impactsPossesses extensive subject matter resource expertise on data science techniques and methodologies to solve complex problemsRegularly consults with C-Suite leadership, advising on and expanding data science opportunitiesGenerates new data science opportunities within State FarmObserves problems, spots opportunities, and creates solutionsIs recognized as an expert in the external data science community, bringing new and cutting-edge data science techniques to State FarmContributes to the external Data Science community through open-source contributions, journal article publication, and creates new intellectual property for State FarmCoaches and Mentors Data Scientists and Technical Leads
Qualifications
10+ years of relevant industry work experience providing advanced analytics solutions across large, complex organizationCompleted Master degree (PhD preferable): Data Science; Computer Science; Applied Mathematics, Statistics, Economics or related with a focus on Artificial Intelligence (AI) or Machine Learning (ML) preferredIn-depth experience gathering and interpreting business requirements to design and create scalable data science solutions within a regulatory environment, ideally within insurance, healthcare, or financial services business vertical. Extensive subject matter resource expertise on data science techniques and methodologies and is recognized as an expert both inside State Farm and in the external data science communityExperience working within the AWS ecosystem & deploying apps in a cloud native environment (docker, Kubernetes, Sagemaker, Databricks, etc.)Broad experience building different types of advanced analytic solutions, including some of the following: time series analysis, cluster analysis, tree-based algorithms, generalized linear models, or neural networks.Expert in data analysis using Python or RAbility to communicate complex information to varying levels of leadership, to include C-suite executives in straight-forward, non-technical language. For Los Angeles candidates: Pursuant to the Los Angeles Fair Chance Initiative for Hiring, we will consider for employment qualified applicants with criminal histories.For San Francisco candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.For Colorado candidates: Salary band $128,875.00-212,650.00
What You Can Expect:
Next Steps: Competitive candidates may be invited to participate in the interview process. This includes a conversation with a recruiter, on demand video interview and hiring manager interviews.
*** Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g. H-1B visa) for this opportunity***
We are not just offering a job but a meaningful career! Come join our passionate team!
SFarm
PM18
#LI-CV1
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Data Scientist | The Home Depot |
OverviewQualificationsJob DescriptionBenefits
Bonus Eligible
401(k) Company Matching
Employee Stock Purchase Program
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Data Scientist Supply Chain Rpa | The Home Depot |
OverviewQualificationsJob DescriptionBenefits
Bonus Eligible
401(k) Company Matching
Employee Stock Purchase Program
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Senior Data Scientist Monzo Flex | Monzo |
We're looking for a Product Data Scientist excited to help us revolutionise the way people manage their finances. A key part of this role is product development our recently launched Monzo Flex, a product that gives customers a better way to pay later. You’ll help us understand and improve the user experience for a new product, help drive growth (we have over five million current account customers), and how we consider cross product dynamics across the range of borrowing 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 want to embed this into Monzo Flex, using powerful, real-time analytics to drive how we think about product development, growth hacking, and ongoing customer engagement.
As part of your role, you'll:
Work within a Product squad within the Borrowing Collective, collaborating closely with designers, PMs, and engineers to develop the testing and product roadmap for Monzo Flex.
Actively explore uptake and engagement of Monzo Flex and our other borrowing products, to make sure we can offer the right product and features to our customers
Be the expert on running simple and more complex experiments so that we can reliably measure the impact of changes we make to our borrowing products
Scale your knowledge and impact across data in borrowing by sharing your knowledge and working with others on projects and experiments
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 multiple years of experience in product or growth analytics, preferably in a fast moving tech company
You have experience working in financial services
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.
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.
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 - you can get a feel for our hiring processes here.
#LI-NB1
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Senior Data Scientist Marketing | Monzo |
We're looking for a Marketing Data Scientist excited to help us build the bank of the future. You'll work across all our marketing channels, to help Monzo understand the ROI across our entire marketing investment, from first to last £ spent. You'll have the opportunity to help supercharge our user growth, help grow our most exciting new products and be the voice of data for our marketing department.
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 Marketing and 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 you'll be a member of our central data discipline and fully embedded within our marketing department.
As part of your role, you'll:
Apply your expertise in quantitative analysis, data mining, performance marketing, and data presentation to find ways we can spend our marketing budget more effectively.
Own the measurement strategy for campaigns via methods such as randomised lift tests, geo-targeted lift tests, and marketing mix models
Work across our full product range and help shape our marketing investment strategy
Partner with our in-house and agency marketers to determine which channels are most effective
Manage relationships with our advertising partners and their analytics measurement teams, to collaborate on best practice and experimental design
Work with Engineers in our Marketing Tech team to define measurement requirements and guide their implementation
Use our cloud native data infrastructure (i.e BigQuery, Looker) to help us build visibility on channel performance
Stay up to date with the latest performance marketing measurement strategies in industry
You should apply if:
What we’re doing here at Monzo excites you!
You’re passionate about marketing science and understand the causal impact marketing can have
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 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 have multiple years of experience working in marketing or performance marketing analytics, preferably in a fast moving tech company
You have experience in conducting large scale A/B experiments, regional experimentation and marketing mix modeling
You have a solid grounding in SQL and preferably Python
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.
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.
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 - you can get a feel for our hiring processes here.
____________________________________________________________________________________________________________________________#LI-NB1
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Senior Data Scientist | Monzo |
We're looking for a Senior Product Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement in 2021 and help us to build a bank that customers truly love.
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 fully embedded into 1 product squad alongside engineers, designers, marketers, product managers etc.
As part of your role, you'll:
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
Guide and enable product teams to measure things that matter; initiate or help run A/B experiments to keep improving everything we do
Drive together with the finance team a unified company-wide understanding of the lifetime value of our users and how different product features are impacting user profitability
Liaise with engineers to keep making sure we collect the right data to produce relevant business insights
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.
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.
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 - you can get a feel for our hiring processes here.
____________________________________________________________________________________________________________________________
#LI-NB2
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Data Science Manager Operations | Monzo |
We're looking for Data Science Managers to help our product teams build the bank of the future. You’ll have the opportunity to lead a team of Data Scientists across our Operations collective.
As we continue to scale, we’re looking for an Operations Data science to lead our customer operations.
As a Data science manager, you’ll be working in an ever changing environment where we are building and iterating on our workforce processes and systems to ensure we keep delighting our customers. Your team will focus on how to optimise costs by improving our forecast and planning capabilities and supporting decisions on how to improve our service and systems.
We’re still growing, and this is the right time to review our tools, processes and operational footprint. You’ll help us build and improve these for now and for our future roadmap. We’re looking for a hands-on, data driven operational leader who can bring fresh thinking and new ways to inspire the team to deliver service excellence.
You’ll work closely with product managers, engineers, designers and researchers in an agile product environment. You’ll champion the use of data, bring ideas to life through rigorous experimentation and A/B testing. You’ll help us get the most out of volumes of cloud native data platform, spotting opportunities to make each area of our product work even better for our users. You’ll help your team grow, hiring new team members, supporting their personal development. Your team will drive product innovation and you’ll get to see the impact of all your work in the product changes we make.
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 fully embedded into a product squad alongside engineers, product managers, machine learning engineers etc.
As part of your role, you'll:
Be a key leader in building a discipline of exceptional data scientists working on making Monzo world class at tackling operations problems
Assure that our forecasts are accurate and flexible
Help hire, develop and retain talented Data Scientists
Generate insights that can change the direction of product development
Establish yourself as a trusted partner to the product leadership teams with the capacity for getting things done, be it either hands-on or by leading others
Bring data leadership and rigour to our approach to product development in the operations function and build a strategic understanding of the business while structuring complex projects to bring them to life
Liaise with engineers to keep making sure we collect the right data to produce relevant business insights
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 have multiple years of experience as a Data Science Manager, working as a Lead data scientist or Data Scientist
Experience in forecasting or operational research is a plus
You know what it takes to manage top tier Data Science talent
You’re excited by the opportunity to work autonomously to impact the future of a fast growing, ever evolving business
You consider yourself an empathetic leader and have experience managing data scientists and you really enjoy that part of the job
You have experience working together and collaborating with senior business stakeholders and product teams
You're familiar with using a variety of Data Science tools (from business intelligence, experimentation and causal inference through to machine learning), and coding languages (Python and SQL). You know when to pick the right tool, and can help others do the same
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.
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.
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 exercise and 2-3 video interviews. We promise not to ask you any brain teasers or trick questions.
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.
What is Monzo about?
We’re a bank on a mission to make money work for everyone. By focusing on solving real problems rather than selling financial products, treating people fairly and being totally transparent, we believe we can make banking better.
Monzo started in 2015 with big plans and a little office in Shoreditch, London. Now we’re a fully-licensed bank with millions of customers in the UK, and well over a thousand employees around the world.
_________________________________________________________________________________________________________________________#LI-NJ1 #LI-Remote
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Data Science Manager Financial Crime | Monzo |
We're excited to be looking for a Financial Crime Data Science Manager to help build the bank of the future. You'll have the opportunity to lead a part of the Financial Crime Data Science team and play a critical role in Monzo’s mission to make money work for everyone.
As a Data science manager, you’ll be working in an ever changing environment where we are building and iterating on our financial crime defence capabilities to ensure we keep Monzo and our customers safe. As a financial crime team we have a large impact on Monzo’s bottom line as fraud and scams are usually some of the biggest cost line items in a bank's P&L. In addition, we have a great influence on the overall customer experience and how protected they are. Most of the work we do results in directly measurable customer or company benefit which is incredibly satisfying.
Our Data Science Managers don’t have a permanent assignment to a problem space and might rotate into different financial crime areas after some time. The major problem spaces that we are working in are: fraud prevention, transaction monitoring for different types of suspicious activity, customer risk assessment and operational tooling to name the biggest ones. At the moment we are about 21 people in financial crime data, including 3 other Data Science managers who will be your peers.
As part of your job you’ll work closely with product managers, engineers, designers and researchers in an agile product environment. You’ll champion the use of data, bring ideas to life through rigorous experimentation and A/B testing. You’ll help us get the most out of large volumes of data stored on a modern cloud native data platform and with spotting opportunities to make each area of financial crime work even better for our users and for Monzo. As a people manager, you’ll help your team grow, hiring new team members, supporting their personal development. Your team will drive product innovation and you’ll get to see the impact of all your work in the product changes we make.
The role
As part of this role you'll:
Be a key leader in building a discipline of exceptional data scientists working on making Monzo world class at tackling financial crime
Establish yourself as a trusted partner to the financial crime and product leadership teams with the capacity for getting things done, be it either hands-on or by leading others
Bring data leadership and rigour to our financial crime function and build a strategic understanding of the business while structuring complex projects to bring them to life
Set the data strategy for financial crime area - from working with engineers on ensuring that we capture the right data to building predictive models that help us detect financial crime
Have the opportunity to manage exceptional Data Scientists and help their career progression and development
Be able to work on all aspects of financial crime as we operate as one team
You should apply if:
You have multiple years of experience in data, working as a lead Analyst or Data Scientist
You consider yourself an empathetic leader and have experience managing multiple data scientists and you really enjoy that part of the job
You’re as comfortable getting hands-on as well as taking a step back and thinking strategically and proactively identifying opportunities
You have experience working together and collaborating with senior business stakeholders and product teams
You're familiar with using a variety of Data Science tools (from business intelligence, experimentation and causal inference through to machine learning), and coding languages (Python and SQL). You know when to pick the right tool, and can help others do the same
You are passionate about reducing financial crime with data driven strategies
Nice to haves:
Experience from working with financial crime and regulated institutions
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.
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.
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 exercise and 2-3 video interviews. We promise not to ask you any brain teasers or trick questions
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.
What is Monzo about?
We’re a bank on a mission to make money work for everyone. By focusing on solving real problems rather than selling financial products, treating people fairly and being totally transparent, we believe we can make banking better.
Monzo started in 2015 with big plans and a little office in Shoreditch, London. Now we’re a fully-licensed bank with millions of customers in the UK, and well over a thousand employees around the world.
_________________________________________________________________________________________________________________________#LI-NJ1 #LI-Remote
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Sr Actuarial Analyst | Root |
The Role.
Root's approach to data and technology has opened the door to new ways of auto pricing: new data everywhere, new analytical approaches, and the massive computational power to finally put the two together. We're looking for actuaries that are ready to roll up their sleeves and get their hands dirty, building better processes and analytics from the ground up.
We're looking for a Senior Actuarial Analyst to execute and enhance our rate revision process and pricing analyses by developing and communicating key insights to drive effective decisions. There's no playbook on how to do this; you'll be partnering within and between teams to creatively problem solve and incorporate insights into a final product.
What you'll be doing.
Execute pricing initiatives including state implementations and rate changes for auto and renters products
Support rate filings and engineering implementations
Leverage statistical and projection models to develop rating plans and recommendations for pricing improvements (example: rate indications, limit studies, state specific analysis etc)
Evaluate and analyze market data to facilitate competitive strategic decisions
Opportunities for growth with company into management or other more senior roles
What we're looking for.
3+ years of P&C insurance experience in an actuarial role
Demonstrable experience with analysis in R, Python or other programming language
Demonstrable experience in SQL or other database software
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Actuarial Analyst | Root |
Root's approach to data and technology has opened the door to new ways of auto pricing: new data everywhere, new analytical approaches, and the massive computational power to finally put the two together. We're looking for actuaries that are ready to roll up their sleeves and get their hands dirty, building better processes and analytics from the ground up.
The position.
We're looking for aActuarial Analyst to execute and enhance our rate revision process and pricing analyses by developing and communicating key insights to drive effective decisions. There's no playbook on how to do this; you'll be partnering within and between teams to creatively problem solve and incorporate insights into a final product.
What you'll be doing.
Execute pricing initiatives including state implementations and rate changes for auto and renters products
Support rate filings and engineering implementations
Leverage statistical and projection models to develop rating plans and recommendations for pricing improvements (example: rate indications, limit studies, state specific analysis etc)
Evaluate and analyze market data to facilitate competitive strategic decisions
Opportunities for growth with company into management or other more senior roles
What you should have.
1+ years of P&C insurance experience in an actuarial role
Demonstrable experience with analysis in R, Python or other programming language
Demonstrable experience in SQL or other database software
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Data Scientist | Thumbtack |
About the Data Science Team
We're looking for data scientists with deep expertise in machine learning, optimization, building data products, and/or statistics. As part of a small product team you will have full ownership over your domain, so you should be a person who dreams big, then executes well.
At Thumbtack, the Data Science team is responsible for a wide variety of problems spanning machine learning, statistics, and computer science:
Characterize marketplace dynamics. Thumbtack’s marketplaces consist of thousands of active markets across our service categories and U.S. cities. Via exploratory data analysis and experimental design, our team works to understand trends and behaviors within these markets.
Improve customer and service provider matching. Matching and optimization algorithms are fundamental to Thumbtack’s product: we now service millions of matches per week. Identifying better matches between customers and service providers has an incredible impact on the experience of customers and professionals transacting on our platform.
Model complex relationships in the presence of many confounding factors. Predictive modeling problems are everywhere across our product. Our team works to scope, design and implement machine learning models to support Thumbtack’s product.
Challenge
Our team is at the forefront of a massive amount of user data. We need to think a lot about both scaling as well as how to provide experiences for a wide set of users that we don’t necessarily know a ton about immediately. We are building experiences into our apps to onboard, engage, and re-engage our users and are constantly experimenting to produce delightful and consistent user experiences.
Responsibilities
Design and execute experiments, collect and analyze data to characterize our product
Architect and deploy machine learning systems to production
Design and implement metrics that align with company goals
Analyze a wide variety of data: structured and unstructured, observational and experimental
Collaborate with engineering, marketing, and economists to use sound statistical practices.
Must-Have Qualifications
If you don't think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team.
2 plus years of industry experience, M.S. or equivalent experience in Computer Science, Economics, Engineering, Math, Statistics, or other relevant technical field
Expert knowledge of machine learning techniques: regression and classification, clustering, neural networks, boosted decision trees, etc.
Ability to effectively read, write, and debug code in programming languages such as Python
Good knowledge of probability and statistics, including experimental design, optimization, and causal inference
Excellent written and verbal technical communication skills
Nice-to-Have Qualifications
Ph.D. in Computer Science, Economics, Engineering, Math, or Statistics
Expert knowledge of probability and statistics, including experimental design, predictive modeling, optimization, and causal inference
Experience with large-scale distributed systems
Thumbtack is a virtual-first company, meaning you can live and work from any one of our approved locations across the United States, Ontario or the Philippines. When it is safe to gather, we will begin to host in-person events on a regular basis. Remote employees will be expected to travel occasionally for these events to a Thumbtack library or offsite team-building location. In cities with 5+ employees, we are establishing local communities, where employees can gather for local events. Additionally, employees in the San Francisco, Salt Lake City, Toronto and Manila areas will have opt-in access to communal workspace at one of our Thumbtack libraries. We always prioritize the health and safety of our employees. Currently, participation in these events and Thumbtack library use are optional. Both require employees to be fully vaccinated.
#LI-Remote
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Data Scientist | Arkestro |
Who We Are
Arkestro is the leading Predictive Procurement Orchestration platform. Built to amplify the impact of procurement’s influence, Arkestro helps enterprises deliver a 2-5x lift on cost savings attributed to everyday purchasing and sourcing cycles. Top enterprises leverage Arkestro’s behavioral science, game theory and machine learning to predict and win faster value across every category of addressable spend.
Arkestro is scaling the first ever predictive procurement automation software. Typical enterprise procurement has many disparate data sources that are often underutilized to make smarter and more efficient purchases. Via a blend of predictive AI models and user-centric design, Arkestro is re-imagining enterprise procurement teams as a powerful lever to digitize and improve global supply chains. We’re looking for a passionate Technical Business Analyst to join our Product Team to help us achieve our vision of procurement that changes the world of business operations in positive and meaningful ways. Arkestro is at an exciting stage of growth, and this role will help build out the Data Team. The right candidate will have the opportunity to work with innovative customers and fantastic internal engineering and customer success teams to transform enterprise procurement. Given the early stage of Arkestro, this role has the ability to grow into several different areas of Data Team responsibility whether it is more technical or more customer-facing.
Tools and Technologies We Use
Data science and visualization: Dataiku, Verb, Python, SQL, Excel
Project management and collaboration: Asana, Miro, Pivotal Tracker, Slack
Workflow and Analytics: Intercom, Amplitude, Fullstory, Segment
An Ideal Candidate Has
Excellent communications skills, the ability to learn on the fly, and a desire for ownership
Advanced degree in CS, Math, Economics, Physics, Engineering, etc.
5+ years of experience translating real world data into clearly actionable insights
3+ years of experience building, deploying, and maintaining ML models
3+ years of experience with Python
Bonus: Experience with a data science studio tool (Dataiku, Databricks, Alteryx, etc.)
Day to Day Responsibilities
Ingest, transform, and explore customer data for use in visualizations and models
Automate model training, testing and deployment to API server (Dataiku)
Work closely with engineering to fit model to Arkestro web application requirements
Project manage data model lifecycle and performance with key stakeholders
Benefits
• Competitive salary and startup equity
• We are a remote-first team, but we like to get together for team building, design sprints, and customer visits
• We also have offices located in both Atlanta and San Francisco
• We are highly supportive of flexible work hours
• Unlimited PTO
• Generous 401k matching and healthcare, dental, and vision plans
• Every employee is given an annual budget of $1,000 for annual learning and development (i.e. books,
conferences, courses)
• Full-time employees are also given an initial $1,000 budget for home office supplies
Disclaimer
Please note this job description may not be inclusive of all assigned duties, responsibilities, or aspects of the job described and that additional tasks may be assigned to the employee from time to time; or the scope of the job may change as necessitated by business demands. Arkestro reserves the right to change duties, responsibilities and activities at any time with or without notice. Arkestro is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.
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Senior Machine Learning Scientist | Stuart |
Stuart (DPD Group) is a sustainable 🌱 last-mile logistics company that connects retailers and e-merchants to a fleet of geolocalised couriers across several countries in Europe.
Our Mission 🚀
We are an impact-driven company that aims to build the future of logistics for a more sustainable world: shared, efficient and reliable. We are committed to creating a new standard for urban deliveries that meet today’s environmental and social challenges while offering a premium delivery experience blending speed, flexibility and convenience.
Our motto: “Make every delivery a moment all of us can truly celebrate!” More than 3000+ leading brands already partner with us across Restaurants, Grocery, Retail & Luxury, eCommerce and Professional Services to deliver all types of goods at the tap of a button. Stuart is a highly diverse and inclusive company of 700+ employees with 90+ nationalities working across France 🇫🇷, Italy 🇮🇹, Poland 🇵🇱, Portugal 🇵🇹, Spain 🇪🇸 and the U.K. 🇬🇧
It’s the right moment and the right place for us to make an impact on millions of people, as home delivery services hit a record high. And guess what? You can help us fulfil our vision 🙌
About the Data Science Team 🌟
The Data team's mission is to develop best-in-class algorithms for last-mile logistics and to enable everyone at Stuart to make data-driven decisions. The Data Science teams powers products and decisions with algorithms.
You will join our Data Science team to develop algorithm-driven solutions for core machine learning products of the platform that run in real-time at scale.
What will I be doing? 🤔
Participate in scientific discussions about our algorithms and provide original insights.
Formulate hypotheses about the problem at hand.
Build machine-learning models with a clear business impact and best software engineering practices.
Put your models in production alongside our dedicated team of backend and data engineers in short development cycles.
Monitor your models alongside our dedicated product analysts.
If you are passionate about high-performance machine-learning algorithms for complex problems, big data technologies, and mathematical modelling of business problems, we can guarantee you are in for a ride.
What do we need from you? 😎
4+ years of experience as a Data Scientist or any similar role (at least three years in non-academic positions).
Expertise in Python is mandatory. Good knowledge of a statically-typed language such as Java, Scala, or C++ is a plus.
Good software engineering skills to work seamlessly alongside our software engineers.
Experience equivalent to a Ph.D. or MSc in quantitative Sciences (Mathematics, Physics, Computer Science, Biology).
Good theoretical and practical knowledge of machine learning, especially in designing deep learning architectures.
Demonstrable experience in putting machine learning models into production.
Nice to have ✨
Experience in Apache Kafka or similar technology.
Familiarity in the design of event-driven architectures.
Some knowledge in related areas such as Operation Research and/or Reinforcement Learning will be highly valued.
The stuff you wanna know 😉
Family-friendly work-life balance - work from home and flexible hours 🏡
Ticket Restaurant by Edenred (€11 ) 🥗
This is a remote work opportunity
Unlimited access to Udemy for all your learning and development needs 📚
Stuart Academy with regular workshops, Stu-Classes, and Stu-Talks 🎓
Stuart is putting Mental Health Awareness first! Wellness Allowance (€40 monthly) to use in any gym or sport class 🧘
Private healthcare provided by Sanitas 🧑⚕️
Free monthly public transportation pass for non-remote workers 🚇
Work in an international, dynamic and passionate environment with a company culture focused on learning and development 🎉
You’ve read all this way but you’re missing a skill or two? No problem, it’s our job to up-skill you to take your career to the next level. What we’re trying to say is, don’t be afraid to apply if you don’t tick all the boxes 💪
At Stuart, we believe that employees today want to evolve in collaborative, high-growth environments where they can demonstrate their abilities and thrive both professionally and personally. We are convinced that employees need to find alignment between their inner values and their company’s culture and mission to unlock their full potential. We work to create a culture of empowerment, continuous learning and growth where everyone can bring expertise, own projects and easily measure their impact 🙌
Stuart is proud to be an equal opportunity workplace dedicated to promoting diversity. We don’t discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status 💙
Please note: Our Talent Acquisition Team is international coming from across the world 🌍 We kindly ask you to please submit your CV and application in English so that it can be reviewed correctly (unless the job posting is in a language other than English). Thank you 🤗
Want to learn more about us? Visit https://stuart.com/about-us/
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Data Scientist Online | Zoom |
Work Styles at Zoom
In most cases, you will have the opportunity to choose your preferred working location from the following options when you join Zoom: in-person, hybrid or remote. Visit this page for more information about Zoom's Workstyles.
About Us
Zoomies help people stay connected so they can get more done together. We set out to build the best video product for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.
We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Here, you’ll work across teams to deliver impactful projects that are changing the way people communicate and enjoy opportunities to advance your career in a diverse, inclusive environment.
The Data Science team lies at the foundation of Zoom’s success. We are looking for a rock-star to join our team to help us solve for a wide range of analytics challenges in the areas of campaign marketing and eCommerce.
We are looking for highly motivated individuals who would be excited to partner with our stakeholders to develop data products & solutions that will impact hundreds of millions of our users across the world. Expert communication, problem-solving, and having an innovative spirit will be the keys to success in this role.
You'll be working cross-functionally with teams of Product Engineers, Product Managers, Data Engineers, Sales and Marketing Managers on some of the most critical projects in the company.
RESPONSIBILITIES:
Research customer cohorts and design A/B experiments for web optimizations & marketing campaigns by splitting users groups into test and control and sampling users in the best way to drive open/click rates and conversions
Generate and deliver compelling insights to leaders to inform strategic decisioning on new products/initiatives and optimizations to our website
Build automated dashboards featuring event/clickstream data to ensure the right insights are delivered to our Marketing teams
Work with stakeholders to scope and define the needs of business and manage data engineering projects to ensure accuracy and timely delivery
Build and maintain statistical models that deliver value to our partner teams
Lead and conduct deep-dive research and analysis to identify opportunities
REQUIREMENTS
Minimum 4+ years of experience using data to facilitate decisions OR
Advanced Degree (Masters or PhD in Computer Science, Data Science or other quantitative field) and 2+ years of experience using data to facilitate decisions
Minimum 1+ years of experience in Marketing / Customer analytics space
Minimum 2+ years of experience in SQL
Minimum 2+ years of experience with statistical analysis using Python or R
PREFERRED
1+ years of experience using Google Analytics
1+ years of experience using Tableau/Domo/Spotfire
Experience in Salesforce Marketing Cloud and Pardot are a plus
Minimum 2+ years of experience with tools like DataRobot/Data bricks/ SageMaker
Python/ R and SQL - at-least 2 years experience
Prior experience working in ecommerce, marketing, customer analytics space - at-least 1 year
Statistics and modeling experience - 1 year
Communication skills - ability to ask right questions, translate data to business insights and communicate technical information to business audience
Ability to work with ambiguity, strategic thinking and motivated learner
We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Zoom is proud to be an equal opportunity workplace and is an affirmative action employer. All your information will be kept confidential according to EEO guidelines.
We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law. If you need any assistance or accommodations due to a medical condition, or if you need assistance accessing our website or completing the application process, please let us know by emailing us at [email protected].
Colorado Salary Range or On Target Earnings:
Minimum:
$97,920.00 USD
Maximum :
$181,170.00 USD
In addition to the base salary and/or OTE listed, Zoom has a Total Direct Compensation philosophy that takes into consideration base salary, bonus and equity value. Information about Zoom’s benefits is here. Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience. We also have a location based compensation structure; there may be a different range for candidates in other locations.
Zoom requires all U.S. employees who will work in person at a Zoom office, attend in-person Zoom meetings or have in-person customer meetings to be fully vaccinated. Zoom will consider requests for reasonable accommodations for religious or medical reasons as required under applicable law.
Explore Zoom:
Hear from our leadership team
Browse Awards and Employee Reviews on Comparably
Visit our Blog
Zoom with us!
Find us on social at the links below and on Instagram
View more jobs, sign up for job alerts and join our talent community. Visit the Zoom careers site.
#LI-Remote
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Manager Data Scientist Apollo Team | Capital One |
Overview
11 West 19th Street (22008), United States of America, New York, New YorkManager, Data Scientist - Apollo Team (Remote-Eligible)
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description:
Emerging Merchant Businesses is a new team dedicated to discovering and accelerating high-growth opportunities at Capital One. Our newly formed organization is composed of incredibly exciting Capital One businesses, including Capital One Shopping, Flex Pay, and Apollo. As part of the EMB team, you will work alongside experts across customer experience, data, technology (and more!) who are moving quickly to find the next big business at the company. We are looking for talented associates who are motivated to be part of this journey and help us shape the future of Capital One, growing and learning with a team who will invest in your development, foster an inclusive environment, and lead with heart to change banking for good.
As a Manager Data Scientist on the Apollo team in Emerging Merchant Businesses, you are a part of a team that develops the core technology which drives our industry-leading understanding of the U.S. business landscape, generating valuable business insight from many disparate sources. The Apollo team is building technology that allows us to acquire, understand, and make inferences on large, disparate business data sets. This requires ideas from across the machine learning skillset, applied to problems and data that are unique to our business. You will do it all in a collaborative environment that values your insight, encourages you to take on new responsibilities, promotes continuous learning, and rewards innovation.
Role Description
In this role, you will:
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers loveLeverage a broad stack of technologies — Python, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual dataBuild machine learning models through all phases of development, from design through training, evaluation, validation, and implementationFlex your interpersonal skills to translate the complexity of your work into tangible business goals
The Ideal Candidate is:
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.
Capital One is open to hiring a Remote Employee for this opportunity.
Basic Qualifications:
Bachelor’s Degree plus 6 years of experience in data analytics, or Master’s Degree plus 4 years in data analytics, or PhD plus 1 year of experience in data analyticsAt least 2 years of experience in open source programming languages for large scale data analysisAt least 2 years of experience with machine learningAt least 2 years of experience with relational databases
Preferred Qualifications:
PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analyticsAt least 1 year of experience working with AWSAt least 1 year of experience with version control, CI/CD, and containerization/deployment technologiesAt least 4 years experience in Python, Scala, or R for large scale data analysisAt least 4 years experience with machine learningAt least 4 years experience with SQL
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
No agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to [email protected]
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
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Data Scientist Machine Learning Ads Targeting | Reddit |
Location: Remote-Friendly
Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly and will continue to be after the pandemic.
We are looking for a Machine Learning Data Scientist to work within the Ads Targeting team. You will work closely with engineers and product managers to 1) develop algorithms and toolings to empower various ML focused Targeting products, 2) shape the product roadmap and strategy.
Responsibilities:
Build machine learning models to improve ML focussed Ads Targeting products such as User Lookalike Models, Keyword Targeting, User Interest Matching.
You will design metrics and mechanisms to understand and evaluate the performance of various Targeting products.
Be involved in all phases of modeling such as ideation, offline modeling, online implementation, experimentation, deploy and post-launch monitoring/measurements.
Serve as a thought-partner for product managers, engineering managers in shaping the Targeting roadmap and strategy by identifying opportunities through deep-dive analyses and/or modeling.
This role will have a lot of overlap with other Machine Learning Engineer roles, but will differ in a couple of areas. First is that you will work mainly on offline modeling and rely on engineers to productionize your models. Secondly, you will have a keen interest in the collection and quality of underlying data (experiment design and analysis, data deep dive), along with working on ETLs and data aggregations needed for training, testing and productionizing models.
Required Qualifications:
Experience in machine learning applications of natural language processing, recommendation system, large scale unsupervised learning.
Bachelor’s degree or above in Mathematics, Statistics, Machine Learning, Computer Science, Economics, or other quantitative fields
Master’s or PhD degree is preferred but not required
Strong analytical and communication skills
Strong skills in SQL and programming (Python or R)
Understanding of experimentation and causal inference analyses
Experience in online advertising is preferred but not required
Benefits:
Annual Personal & Professional development funds
401k matching plan
Flexible PTO
Paid holidays + Wellness days
Remote friendly
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Senior Data Scientist | Arena Analytics |
At Arena Analytics, we believe that talent is equally distributed, but opportunity is not. Our goal is to rewire the labor market by applying predictive analytics, data science, and artificial intelligence to transform the way organizations identify, match, and hire people. Through our solutions, employers maximize retention by hiring people more likely to stay, improve performance by matching people to the right jobs, and reduce bias in the hiring process by leveraging our powerful AI model. We’re looking for passionate, collaborative, entrepreneurial people who care about building valuable solutions to fundamentally shift hiring practices for the better.
Job Responsibilities
Reporting to the Director of Data Science, your main goal is to lead by example for the DS team while improving current predictive models, pushing prototyped models into production, and creating new models from a combination of external data, client data, and Arena generated data. We seek a dynamic senior data scientist who has a penchant for systems thinking, a collaborative spirit, and an inquisitive mind. As a Senior Data Scientist, you will play an active role in creating impact for our clients through our predictive modeling and be responsible for the quality of those models.
Responsibilities include but are not limited to:
Developing innovative solutions to business, product or technical requests using appropriate machine learning and analysis techniquesPrototype solutions using appropriate machine learning or statistical techniquesPlaying a pivotal role in implementing such solutions with the support of Data EngineeringReviewing existing processes, approaches, and models related to data science; propose and initiating solutions and/or improvementsDisseminating knowledge and techniques and solidifying best practices by contributing to internal tools, libraries, and documentationMentoring more junior data scientists Contributing code and documentation to the company code/knowledge base
Qualifications and Skills
Excellent Python skills (numpy, pandas, scikit-learn, etc.), familiar with open source libraries and tools for data science such as TensorFlowStrong SQL skills and ability to implement general best practices; familiarity with MLOps a strong plusSuperior communication and data visualization skills with demonstrated ability to complete data science roadmap projectsTrack record of developing and deploying machine learning models with diversity of model types Familiarity with agile development and comfortable implementing agile methodologies in partnership with cross-functional teamsComfortable writing reproducible, well-commented code and participating in code reviewsExperience with a few of the following: classification models, forecasting, neural networks (GANs especially), experimental design and A/B testing, or recommender systemsExperience with sophisticated statistical or econometric models
Education and Experience Requirements
Extensive experience with machine learning and practical experience in a ‘data as a product’ organization implementing predictive modeling5+ years of practical experience as a data scientist in a product-driven organization working with data and predictive modeling OR an advanced degree in a quantitative field (such as computer science, statistics, a quantitative social, biological, or physical science) with 2+ years of work experience that involved significant project management and predictive modeling 4+ years of experience working in a position that requires critical thinking, writing for internal and external communications, and familiarity with common tools like Google Workspace (Docs, Sheets, etc.)/Microsoft Office/etc. or a Bachelor’s degreePrior experience at a growing SaaS business is a strong plus
Work Hours and Benefits
Arena Analytics is a remote friendly company, with a main office in Baltimore, MD for those who love an office environment, and the opportunity to work remotely in multiple states. We believe in work-life balance and want our full-time exempt employees to complete their work within a 40 hour work week. We offer a competitive salary and benefits, equity grant, 401K, PTO, and annual learning stipend.
EEO Statement
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.
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Data Scientist I Forecasting | Usaa |
Purpose of Job
About USAAUSAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
Job Description SummaryDevelop and analyze data to predict business results or member behavior. Experienced knowledge in statistics, mathematics, and tools used in predictive modeling. Partner cross-functionally with business to deliver breakthrough analytical solutions to support a winning strategy in a constantly evolving business environment.
This position is a Hybrid position if within a commutable distance in San Antonio, TX, and Charlotte, NC, offices. Remote Opportunity is available for those not located within a commutable distance.
Job Requirements
Identifies and manages existing and emerging risks that stem from business activities and the job role. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled. Follows written risk and compliance policies, standards, and procedures for business activities. Partners with other analysts across the organization to fully define business problems and research questions.Supports SME's on cross functional matrixed teams to solve highly complex work critical to the organization.Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization, and other techniques to deliver insights or develop analytical solutions to achieve business objectives.Supports Subject Matter Experts (SME's) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to research architecture for new products, services, and features.Develops algorithms and supporting code such that research efforts are based on the highest quality data.Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions.
Minimum Requirements:
Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field; OR 6 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.4 years of related experience in predictive modeling, large data analysis and computer science.Proficient knowledge of the function/discipline and demonstrated application of knowledge, skills, and abilities towards work products.Proficient level of business acumen in the areas of the business operations, industry practices and emerging trends.Experience in data mining and statistical analysis.Knowledge of Data Science principals and experience with data science methodologies.Experience with any one of the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.
Preferred Experience:
Advanced degree in Data Science, Financial Engineering, Statistics, Economics, Engineering, Mathematics, Actuarial Sciences, or related fieldExperience with the development of regulatory models within the banking industry (stress testing, IRR, ALM)Strong background in traditional statistical methods as well as machine learning algorithmsExperience working with account level data covering an extended periodComfortable using the capabilities of the Domino platform and developing models in various platforms/languages (Python, R, SAS, etc.)Experience with the model risk management process
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $88,200 - $158,900.
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium will be addressed on an individual basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning, and continuing education assists employees with their professional goals.
To see details on our outstanding benefits, visit USAA Total Rewards.
Relocation assistance is not available for this position.
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Decision Science Analyst Mid Level Data Management | Usaa |
Purpose of Job
We are seeking a talented Decision Science Analyst for either our San Antonio Home Office, Plano Campus, Phoenix Campus, Charlotte Campus, Colorado Springs Campus, Tampa Campus, or remote work environment available.
Provide decision support for business areas across the enterprise. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies.
Job Requirements
About USAA
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
Primary Responsibilities:
Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies, standards, and procedures for business activities.Leverages intermediate and some advanced business, analytical and technical knowledge to participate in discussions with cross functional teams to understand and collaborate on business objectives and influence solution strategies.Applies advanced analytical techniques to solve business problems that are typically medium to large scale with impact to current and/or future business strategy.Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change. Translates recommendation into communication materials to effectively present to colleagues for peer review and mid to upper-level management.Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.Delivers analysis/findings in a manner that conveys understanding, influences mid to upper-level management, garners support for recommendations, drives business decisions, and influences business strategy.
When you apply for this position, you will be required to answer some initial questions. This will take approximately 5 minutes. Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Minimum Requirements:
Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance) OR Advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline with 2 years experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance).Demonstrates competency in mathematical and statistical techniques and approaches used to drive fact-based decision-making.Intermediate and some advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
Preferred Experience:
2+ years hands on development experience with Python in a professional setting for process automation and advanced analytical capabilities.2+ years hands on development experience with Tableau.2+ years hands on development experience and expert knowledge working with a variety of data platforms (Snowflake, Salesforce, Hadoop, Oracle) and tools / techniques (API, Virtualization) to extract and synthesize data into meaningful and actionable insights.Basic understanding of best practices and concepts for Data Management (Data Quality, Data Governance, Data Modeling, Data Architecture).
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $72,900 - $131,400 *(this does not include geographic differential it may be applied based on your work location).
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is not available for this position.
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Decision Science Analyst Lead Data Management | Usaa |
Purpose of Job
We are seeking a talented Decision Science Analyst Lead for either our San Antonio Home Office, Plano Campus, Phoenix Campus, Charlotte Campus, Colorado Springs Campus, Tampa Campus, or person may also work in a remote work environment is available.
Provide decision support for business areas across the enterprise. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies.
Job Requirements
About USAA
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
Primary Responsibilities:
Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies, standards, and procedures for business activities.Leverages expert business, analytical and technical knowledge to lead discussions with cross functional teams to understand and collaborate highly complex business objectives and influence solution strategies.Applies advanced analytical techniques to solve business problems that are typically large scale with significant impact to current and/or future business strategy.Organizes and oversees the development of requirements/resources necessary to meet established objectivesApplies innovative and scientific/quantitative analytical approaches to draw conclusions and make recommendations to answer the business objective and drive the appropriate change. Translates recommendation into communication materials to effectively present to all levels of management.Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.Monitors, understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.Succinctly delivers complex analysis/findings in a manner that conveys understanding, influences senior executives, garners support for recommendations, drives business decisions, and influences business strategy.Provides subject matter expertise in operationalizing recommendations.Researches and pursues the latest and/or industry leading practices in data and analytics, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data) to advance the overall DSA community knowledge.Identifies opportunities to continue to learn in the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc) or formal (E.g. Certifications or advanced coursework).Innovates to create new and emerging data sets, and incorporation (data wrangling, data munging) into new insights
When you apply for this position, you will be required to answer some initial questions. This will take approximately 5 minutes. Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Minimum Requirements:
Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline is required; OR 4 years of related statistics, mathematics or quantitative analytics or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.8 years of data & analytics experience; OR 6 years of data & analytics experience and up to 2 years of progressive functional business relevant experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing etc.) for a total of 8 years combined experience; OR Advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline and 6 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing, etc.).3 years of direct and/or indirect management experience.Demonstrates expert skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.Expert knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
Preferred Experience:
Strong technical acumen and demonstrated ability developing, implementing, and leading Data & Analytics strategies requiring oversight and partnership with cross-functional teams.Strong leadership presence and extensive experience partnering with and presenting to Executive leadership. Demonstrated ability to craft a message at the appropriate level, influence and gain support.4+ years hands on development experience with Python in a professional setting for process automation and advanced analytical capabilities.4+ years hands on development experience with Tableau or equivalent application for Business Intelligence.5+ years hands on development experience and expert knowledge working with a variety of data platforms (Snowflake, Salesforce, Hadoop, Oracle) and tools / techniques (API, Virtualization) to extract and synthesize data into meaningful and actionable insights.3+ years leadership experience training and mentoring junior level analyst to develop skillsets in data extraction, manipulation and analytical techniques and tools (SQL, Python, Tableau).Six-Sigma certification or equivalent experience in process engineering with a demonstrated ability operating within framework in the development of business strategies and the improvement / optimization of processes. Basic understanding of best practices and concepts for Data Management (Data Quality, Data Governance, Data Modeling, Data Architecture).
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $106,800 - $192,300 *(this does not include geographic differential it may be applied based on your work location).
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is not available for this position.
#FSB
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Sr Manager Of Data Science Analytics | Everlane |
Everlane is seeking a Sr. Manager/Director to join our team, where you’ll help drive growth of the Everlane business by leading a team that develops predictive models, collaborates with business partners to drive decisions, and builds the next generation of Everlane’s data infrastructure that underlies our models and reports. The subject areas that you will impact span the entire company, from helping our digital product team evaluate new opportunities of improvement on our website, to building a model around the purchase preferences of our customers.
Our team is tasked with extracting actionable insights from our data, building predictive data products, and creating self-service analytical tools for teams throughout the company. We use a full-stack set of methodologies and tools to achieve this, taking a data science problem from the initial open ended business question, to the eventual productionisation and implementation of a model.
Your day-to-day:
Own the Data architecture and roadmap, working independently to understand, prioritize, and plan the team’s work
Effectively communicate and drive collaboration with key stakeholders across the business
Hire and oversee data analysts, data scientists, and data engineers
Be a source of technical leadership, helping coach direct reports and developing their skills
Research and promote opportunities to take on new technologies, frameworks, and approaches in AB testing, Data Pipelining, and Machine Learning
Apply causal research and explanatory modeling to better understand customer behavior, marketing performance etc.
Deploy predictive data products that our customers will interact with, including product recommendations, size predictions, and predicted return rates
Design and analyze rigorous experiments aimed at understanding customer behavior
Scale the Everlane data platform with smarter and more sophisticated data pipelines
We'd love to hear from you if you have:
BA/BS degree in a quantitative or computing focused degree
7+ years of full stack experience (data collection, analysis, machine learning, statistical modeling)
3+ years of people management experience
Ability to understand and interpret the business from both a stakeholder and data point of view
Expertise in R, Python, or another data science suitable language
Expertise in SQL
Strong fundamentals in statistics and probability, including formal statistical modeling and experimental design
Nice to have:
Experience in retail/e-commerce or a B2C technology company
Experience working on data problems in a distributed framework, i.e. Spark, Hadoop
Remote Positions: This is an optional remote position. Please note: We are only accepting applications from those who file their taxes in one of the following states: California, Colorado, Florida, Illinois, Kansas, Massachusetts, Minnesota, North Carolina, New Hampshire, New Jersey, New York, Ohio, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, and Washington.
If you are a Colorado resident, this is for you: At Everlane, we carefully consider a wide range of compensation factors, including your background and experience. These considerations can cause your compensation to vary. The compensation for this role starts at a minimum annual salary $137,000. The actual pay may be higher depending on your skills, qualifications, and experience.
If you are a New York resident, this is for you: At Everlane, we carefully consider a wide range of compensation factors, including your background and experience. These considerations can cause your compensation to vary. The compensation for this role starts at a minimum annual salary $152,000. The actual pay may be higher depending on your skills, qualifications, and experience.
As part of our commitment to health and safety for our teams, we’re taking a responsible approach to creating the safest working environment we can. As part of that commitment, COVID-19 vaccines are required for all current and future Everlane Team Members that do not require an exemption.
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Sr Data Scientist Pricing | Target |
Setting the right price is a crucial part of fulfilling Target’s brand promise of “Expect More. Pay Less.” The Pricing and Promotion Data Sciences team employs the latest in artificial intelligence models and algorithms to set data driven price points and ensure a maximum return on promotional investments.
As a Senior Data Scientist, you’ll work closely with peer data scientists and business partners to develop a deep understanding of pricing and promotion at Target. Using your background and additional research, you’ll design, implement, and support customer demand models that predict how Target’s guests will respond to pricing changes. We will look to you to understand and actively follow foundational programming principles and create a well-maintainable & tested codebase with relevant documentation. You will get the opportunity to develop in one or more approved programming languages (Java, Scala, Python, R), and learn and adhere to best practices in data analysis and data understanding. You’ll scale your solutions on our in-house Hadoop cluster and integrate your model into our pricing and promotional business systems.
About you:
M.S. in Mathematics, Statistics, Physics, Bio Statistics, Operations Research, Computer Science or equivalent work experience3+ years of professional or equivalent industry experienceGood knowledge and experience developing optimization, simulation, and statistical modelsStrong analytical thinking skills. Ability to creatively solve business problems, innovating new approaches, where requiredStrong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatoryGood working knowledge of mathematical and statistical concepts, algorithms, and computational complexityPassion for solving interesting and relevant real-world problems using a data science approachExperience with scaling Data Science solutions in a Hadoop environmentExcellent communication skills. Ability to clearly tell data driven stories through appropriate visualizations, graphs, and narrativesStrong team player with ability to collaborate effectively across geographies/time zonesPrior experience in Pricing and/or Promotion is a plus
This position may be considered for a Full-Time Remote or Hybrid work arrangement based on Target’s needs. A Hybrid work arrangement means the team members core role will be a blend of virtual and onsite at a Target location. A Full-Time Remote work arrangement means the team member works full-time from home or an alternate location that’s not a Target location, does not have a desk at their primary HQ work location and may travel to HQ up to 4 times a year.
Colorado, Connecticut or Nevada Residents Only: The salary range for Colorado, Connecticut or Nevada residents is $87,600 to $157,700.00 Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Find competitive benefits from financial and education to well-being and beyond.
Americans with Disabilities Act (ADA)
Target will provide reasonable accommodations (such as a qualified sign language interpreter or other personal assistance) with the application process upon your request as required to comply with applicable laws. If you have a disability and require assistance in this application process, please visit your nearest Target store or Distribution Center or reach out to Guest Services at 1-800-440-0680 for additional information.
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Senior Data Scientist | Pixel United |
Job Posting Title
Senior Data Scientist
Pay Range
$103,532-$192,273
Why Big Fish Games?
Big Fish Games is the home of some of the biggest hit mobile casual games including EverMerge, Gummy Drop!, Cooking Craze, Fairway Solitaire, and many more.
We are curious and constantly seek improvement in all we do because that’s what our business demandsWe operate with good intentions, confidence, and humilityWe welcome diversity of background, thought, and experienceWe listen actively and value each otherWe foster a fun environment that inspires creativity
Overview
We are looking for an amazing Data Scientist to support the different Game Studios at BFG. You'll be responsible for supporting A/B test design and analysis, building machine learning models, and helping to support our day-to-day operations by building scalable data science solutions. Successful candidates for this role have strong SQL and statistics skills, are passionate about games, and are clear communicators.
What You'll Do
Engage with PMs, designers, CRM managers to identify analysis requirementsDevelop a deep understanding of available data to drive ad-hoc analysis and answer questionsPerform statistical analysis, hypothesis testing on experimental data to validate and quantify trends or patterns identified by businessEvaluate performance of new features and contentBuild machine learning models and work with engineering teams to productionalize model outputs.Effectively write, present and communicate research results with recommendations.
What We're Looking For
Bachelor’s degree or equivalent work experience in Statistics or related discipline such as Mathematics, Economics, Computer Science, Engineering, etc.Experience with SQL, R, PythonExperience with manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources including collecting, assembling data, cleansing, formatting, and validating resultsExperience with data mining, machine learning, statistical modeling tools and underlying algorithmsMinimum 1-3 years in a data science function Data visualization and dash-boarding building experience with Tableau, Looker, or similar tool
Benefits And Beyond
Employees constantly rate Big Fish Games highly for its leadership, flexibility, well-being, diversity and inclusion through quarterly surveys.
FLEX-Forward work environment: Customize the when, where, and how you work while delivering goalsHealth & More: Medical, dental, vision, life, disability, Teladoc services, employee assistance program (EAP)Work-Life: Wellness Friday (half-days), paid time off, parental leave, flexible work policy, studio holiday closure (Enjoy the week between Christmas and New Year!) Wellbeing: Wellness fairs, weekly virtual workout classes, 24/7 access to mental health and wellbeing support, free therapy and counseling sessions for you and your familyWealth Care: 401k matching, flexible spending account (FSA), employee discounts, employee stock purchase programLearn & Grow: LinkedIn Learning subscription, mentorship program, career development, individual development plans, educational assistance on job-related professional development Community & Fun: Company social events, employee impact groups, company swag, volunteer opportunities
About Big Fish
Building upon our 20-year legacy as a leader in the biggest gaming categories in the world, we are innovating and developing new products within the casual space to add to our extensive portfolio. Big Fish is dedicated to delivering amazing experiences for players to connect, compete and discover play, anywhere and on any device. This means games for broad global audiences in genres that are easy to learn, and difficult to master. Be a part of the team from the start.
Big Fish is part of Pixel United, the free-to-play, mobile-first video games business of Aristocrat Leisure Ltd (ASX: ALL)!
Big Fish Games is an equal opportunity employer. We bring unique talents together to build something special that’s why we welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status.
Location
Remote - USA (Job Posting)
Job family
Game Analytics
Contract Type
Regular
Time Type
Full time
Company
Big Fish Games
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Sr Principal Scientist | Merck |
Job Description
The CSRM Physician is a leader in pharmacovigilance and is responsible for the overall clinical risk management and safety surveillance of assigned investigational and marketed products.
Key responsibilities include but are not limited to the following:
Engage directly in product development activities via core membership on Product Development Teams and chairmanship of the Risk Management and Safety Team (RMST), and other related sub-team participation, for assigned products. This may include participation in internal and joint internal/external research project teams relevant to the development of new compounds and the further study of marketed compounds.Partners with clinical development to ensure that clinical programs will support robust safety assessment of investigational compounds.The CSRM Physician works closely with cross-functional team members including those from clinical development, epidemiology, regulatory affairs, statistics, and manufacturing to manage safety topics under evaluation to ensure efforts are aligned to meet global pharmacovigilance and risk management strategies for assigned products. Duties include all aspects of safety data evaluation, including assessing safety from multiple sources, e.g. clinical trials, literature and post-approval use.Accountable for scientific strategy for safety related documents (e.g. CTD components, Risk Management Plans (RMP) and Periodic Safety Update Reports) and for ensuring that the safety sections of Company product circulars are medically and scientifically appropriate.Responsible for safety surveillance activities such as aggregate clinical trial data analysis and post approval safety signaling reviews, using medical judgement in review of aggregate data and individual cases. Collaborate with CSRM Associate/scientist in order to oversee all safety surveillance activities for assigned products.Responsible for the development of RMPs, pharmacovigilance strategies and risk minimization activities as warranted.The CSRM Physician prepares safety summaries and analyses of safety related data for regulatory documents and aggregate reports and may supervise the activities of CSRM Staff in the execution of safety data analysis and authoring of regulatory documents.Participates in the development, implementation and evaluation of standards, processes, metrics and other department initiatives.
Qualifications:
Minimum Education Requirement:
MD/DO or equivalent
Required Experience and Skills:
Minimum three (3) years clinical experienceExperience in clinical safety, pharmacovigilance and/or risk managementMust have excellent communication, writing and analytic skillsOncology experience preferred
We are a research-driven biopharmaceutical company. Our mission is built on the simple premise that if we “follow the science” that great medicines can make a significant impact to our world. We believe that a research-driven enterprise dedicated to world-class science can succeed by inventing medicine and vaccine innovations that make a difference for patients across the globe.
Who we are …
We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world.
What we look for …
Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today.
NOTICE FOR INTERNAL APPLICANTS
In accordance with Managers' Policy - Job Posting and Employee Placement, all employees subject to this policy are required to have a minimum of twelve (12) months of service in current position prior to applying for open positions.
If you have been offered a separation benefits package, but have not yet reached your separation date and are offered a position within the salary and geographical parameters as set forth in the Summary Plan Description (SPD) of your separation package, then you are no longer eligible for your separation benefits package. To discuss in more detail, please contact your HRBP or Talent Acquisition Advisor.
Residents of Colorado
Click here to request this role’s pay range.
For positions located in the United States and Puerto Rico – Subject to applicable law, all new hires (including internal transfers) must demonstrate that they are fully vaccinated against COVID-19 or that they qualify for a medical or religious exemption to this vaccination requirement. New hires (including internal transfers) to a position that, as determined by the Company, requires routine collaboration with external stakeholders (such as roles in health services or customer-facing commercial or research-based roles) (“Customer-Facing Role”) who are not vaccinated must qualify for a medical or religious exemption and be in a position that the Company determines can accommodate unvaccinated employees without causing an undue burden to business operations. If, following dialog with the candidate as appropriate, it is determined that the candidate either a) does not qualify for a religious or medical exemption or, b) for candidates applying for Customer-Facing roles, it is determined that allowing the candidate to work without vaccination would cause an undue burden to the Company, the candidate will be ineligible for hire or transfer, or any offer of employment or transfer (if applicable) will be revoked. Please note that notwithstanding the approval of any reasonable accommodation, the Company reserves the right to monitor, modify, or revoke any such accommodation if it is determined, following dialog with the employee, that the accommodation is no longer effective or results in an undue burden to the Company.
Current Employees apply HERE
Current Contingent Workers apply HERE
US and Puerto Rico Residents Only:
Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.
For more information about personal rights under Equal Employment Opportunity, visit:
EEOC Know Your Rights
EEOC GINA Supplement
Pay Transparency Nondiscrimination
We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace.
Under New York City, Washington State and California State law, the Company is required to provide a reasonable estimate of the salary range for this job. Final determinations with respect to salary will take into account a number of factors, which may include, but not be limited to the primary work location and the chosen candidate’s relevant skills, experience, and education.
Expected salary range:
$259,440.00 - $408,300.00
For Washington State Jobs, a summary of benefits is listed here.
Learn more about your rights, including under California, Colorado and other US State Acts
Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
Employee Status:
Regular
Relocation:
Domestic
VISA Sponsorship:
Travel Requirements:
10%
Flexible Work Arrangements:
Hybrid, Remote Work
Shift:
Valid Driving License:
Hazardous Material(s):
Number of Openings:
1
Requisition ID:R222514
|
Principal Statistical Programmer Submission Data Standards Quality Management Sds Qm | Merck |
Job Description
In BARDS (Biostatistics and Research Decision Sciences), a distinguished department within our Company's renowned Research and Development division, quantitative scientists, in partnership with other subject matter experts, apply state-of-the art scientific methodologies and tools to enable the discovery, development, regulatory approval, manufacturing, and marketing of medical drugs and vaccines for the benefit of patients and global human health.
The Principal Statistical Programmer, Submission Data Standards Quality Management (SDS QM), focuses on strategic activities impacting world-wide regulatory application submissions of drug and vaccine clinical development projects to the direct benefit of clinical development project teams. The position is a key collaborator with internal and external stakeholders including Statistical Programming, Statistics, Regulatory, Data Management, Clinical and other project stakeholders. Accountability predominantly includes submission data standards planning activities, coaching and consulting with project teams, outreach to external vendors and partners, and keeping current with industry submission data standards including SDTM, ADaM, clinical site data for CDER inspection planning etc.
Primary Responsibilities:
Address operational challenges that require strategic solutions resulting in improved regulatory submissions in both timeliness and qualityPreNDA and PreBLA meeting preparation, study data standards plan, preparing questions for FDA e-data mailboxes (CBER/CDER), attendance at meetings with regulatory agencies (FDA, EMA, PMDA),Guiding project teams preparing submission deliverables including use of Pinnacle 21 Enterprise,Leadership in industry teams and conferences on best practicesLeadership on departmental strategic initiative project teams
Education:
BA/BS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus 12-15 years SAS programming experience in a clinical trial environmentMS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus 10 or more years SAS programming experience in a clinical trial environment
Department Required Skills and Experience:
Excellent interpersonal skills and ability to negotiate and collaborate effectivelyExcellent written, oral, and presentation skillsSuperior knowledge and significant experience in setting strategy and developing analysis and reporting deliverables for R&D projects (data, analyses, tables, graphics, listings)Excellent project management skills; leadership across multiple and complex programs; determines approach and ensures consistency and directs effort others; ability to engage key stakeholders
Position Specific Skills and Experience:
US and/or worldwide drug or vaccine regulatory application submission experience at the leadership level including the development of electronic submission deliverablesSuperior knowledge with submission standards CDISC (SDTM, ADaM), Define.XML, SDRG, ADRGDemonstrated success in the assurance of deliverable quality and process compliance.Excels in technical writing, able to convert complex ideas and information into simple readable formFamiliarity with clinical data management conceptsStrategic thinking - ability to analyze operational activities and challenges and develop and implement strategic solutionsAbility to anticipate stakeholder requirements
Preferred Skills and Experience:
Experience in process assessment, improvement and operational excellence methodologiesStrong working knowledge of reporting processes (SOPs) and software development life-cycle (SDLC)Providing technical and/or programming guidance and mentoring to colleaguesDeals well with change and seamlessly assimilates to new projects and stakeholdersAbility and interest to work across cultures and geographiesAbility to complete statistical programming deliverables through the use of global outsource partner programming staffDeveloping and managing a project plan using Microsoft Project or similar packageActive in professional societies
#EligibleforERP
BARDS2020
SPJOBS
VETJOBS
#EBRG
We are a research-driven biopharmaceutical company. Our mission is built on the simple premise that if we “follow the science” that great medicines can make a significant impact to our world. We believe that a research-driven enterprise dedicated to world-class science can succeed by inventing medicine and vaccine innovations that make a difference for patients across the globe.
Who we are …
We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world.
What we look for …
Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today.
NOTICE FOR INTERNAL APPLICANTS
In accordance with Managers' Policy - Job Posting and Employee Placement, all employees subject to this policy are required to have a minimum of twelve (12) months of service in current position prior to applying for open positions.
If you have been offered a separation benefits package, but have not yet reached your separation date and are offered a position within the salary and geographical parameters as set forth in the Summary Plan Description (SPD) of your separation package, then you are no longer eligible for your separation benefits package. To discuss in more detail, please contact your HRBP or Talent Acquisition Advisor.
Residents of Colorado
Click here to request this role’s pay range.
For positions located in the United States and Puerto Rico – Subject to applicable law, all new hires (including internal transfers) must demonstrate that they are fully vaccinated against COVID-19 or that they qualify for a medical or religious exemption to this vaccination requirement. New hires (including internal transfers) to a position that, as determined by the Company, requires routine collaboration with external stakeholders (such as roles in health services or customer-facing commercial or research-based roles) (“Customer-Facing Role”) who are not vaccinated must qualify for a medical or religious exemption and be in a position that the Company determines can accommodate unvaccinated employees without causing an undue burden to business operations. If, following dialog with the candidate as appropriate, it is determined that the candidate either a) does not qualify for a religious or medical exemption or, b) for candidates applying for Customer-Facing roles, it is determined that allowing the candidate to work without vaccination would cause an undue burden to the Company, the candidate will be ineligible for hire or transfer, or any offer of employment or transfer (if applicable) will be revoked. Please note that notwithstanding the approval of any reasonable accommodation, the Company reserves the right to monitor, modify, or revoke any such accommodation if it is determined, following dialog with the employee, that the accommodation is no longer effective or results in an undue burden to the Company.
Current Employees apply HERE
Current Contingent Workers apply HERE
US and Puerto Rico Residents Only:
Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.
For more information about personal rights under Equal Employment Opportunity, visit:
EEOC Know Your Rights
EEOC GINA Supplement
Pay Transparency Nondiscrimination
We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace.
Under New York City, Washington State and California State law, the Company is required to provide a reasonable estimate of the salary range for this job. Final determinations with respect to salary will take into account a number of factors, which may include, but not be limited to the primary work location and the chosen candidate’s relevant skills, experience, and education.
Expected salary range:
$159,200.00 - $250,700.00
Available benefits include bonus eligibility, health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and sick days. For Washington State Jobs, a summary of benefits is listed here.
Learn more about your rights, including under California, Colorado and other US State Acts
Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
Employee Status:
Regular
Relocation:
Domestic
VISA Sponsorship:
Yes
Travel Requirements:
10%
Flexible Work Arrangements:
Flex Time, Remote Work, Telecommuting
Shift:
Not Indicated
Valid Driving License:
No
Hazardous Material(s):
Requisition ID:R223379
|
Data Scientist | Whalar |
Whalar is a tech-powered influencer company on a mission to Liberate the Creative Voice. We combine technology, creative strategy, talent expertise, and platform partnerships to unite brands with target audiences globally by connecting them with thousands of influencers, tastemakers, and storytellers, around the world!
Whalar works with 300+ brands and is the only influencer agency to win a Cannes Lions Award - in fact, we’ve won two. Recently named the 6th Fastest-Growing Medium Agency, and 20th across all considered companies in the prestigious Adweek ‘Top 100’, Whalar is an industry leader.
Location/Remote:
This role is tied to our Malaga Office but can be remote and sit anywhere in Spain. We are also open to candidates who are EU citizens and want to relocate to Spain.
Responsibilities:
Formulates analytic studies against large volumes of data.
Interpret and analyse data using exploratory mathematic and statistical techniques and/or models
Coordinate research and analytic activities utilising various data points (unstructured and structured) and employ programming to clean and transform data.
Experiment against data points, provide information based on experiment results and provide insights to various stakeholders
Coordinate with DevOps and data engineers to build data environments providing data identified by product or engineering teams
Research and devise innovative statistical models for data analysis
Analyse issues with data and determine root causes.
Take ownership of the complete Machine Learning Workflow: ideation, data processing, model training and testing, deployment, monitoring and iteration.
Proactively suggest, research and prototype new data ideas.
Experience:
BS Telecommunications/Software Engineer/Mathematics or related technical degrees.
4+ years of work experience in data analytics, software development, machine learning, AI
Experience building ML solutions to real-life problems.
Strong hands on experience with (Python is a must, but other languages are also valued), capable of building robust ML software.
Machine learning - pattern recognition and predictive modeling
AWS infrastructure
Advanced in SQL, capable of getting the data required from the appropriate sources, and building data pipelines if needed.
Elasticsearch
Good mathematics skillsAnalytical mindFluent communication skills in English (both written and spoken), capable of explaining complex concepts to peers and stakeholders
Would be a Plus also:
Experience with Data Visualization Tools (matplotlib, ggplot, d3.js, Tableau, Any other BI tools like Looker, Amplitude)
Experience working within the AWS framework
Working with Data pipelines (Airflow, dbt) or Big Data technologies (Spark)
Our values:
Our people are our superpowers. At Whalar, diversity, equity, inclusion, and accessibility are at the core of who we are. We are deeply committed to reflecting on the unique journeys, authentic voices, and perspectives of our people, our creators, and the communities they
represent. Our hope is to impact accessibility beyond compliance and help break societal stigmas and stereotypes. 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 everything creator, we want to meet you, and we encourage you to apply.
The perks:
Whalar is a remote-first working environment, allowing our employees to be their most creative and successful versions of themselves. Whalar is located across 18 states in the US and 6 countries including offices in London and Málaga, Spain. Whalar provides flexible benefits and collaborative work environments/experiences, empowering employees to work productively in a setting that best and uniquely suits their needs.
Remote-first company (but if you are around Malaga we also have an office available if you wish to go)
Flexi-working hours approach
25 days PTO per year + Winter break (between Xmas and NY’s) on top of your PTO to refresh
Yearly professional development allowance for your job-related development
One-off home office setup allowance to help you get comfortable with your home office setup + Monthly teleworking allowance
Private health insurance for you paid by Whalar
English language development classes
Full subscription with Calm and FWR Progress apps
Volunteer days available Whalar 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. Equal opportunity extends to all aspects of the employment relationship, including hiring, promotions, training, working conditions, compensation, and benefits.
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Data Scientist Logistics Team | Stitch Fix |
Data Scientist- Logistics Team
About the Team
At Stitch Fix, our data science team combines machine learning with expert human judgment to generate innovative recommendations and insights that transform the way our clients discover what they love. We believe in a curiosity-driven, data science culture where members have autonomy to deliver impact through end-to-end, full-stack product development and ownership. The diversity of the problems that we work on and the data-rich environment of our business make it possible, even essential, to bring the tools of multiple disciplines to bear on our hardest problems. We are looking for data scientists and leaders to join us as we revolutionize retail.
The Logistics Algorithms team helps the business put the right things, in the right places, and at the right times in order to delight our clients and efficiently operate the business. Team members are owners of the health of our fulfillment network, ensuring our clients can find the fits and styles they love. Alongside partnerships in merchandise planning, finance, and operations, we build tools to optimally manage the ingestion and circulation of merch, and power decision frameworks that help the business understand impacts through leveraging data insights.
About the Role
As a Data Scientist on the team, you will help drive the roadmap and implementation of our core capabilities powering our allocation and flow of new merchandise throughout our network of warehouses, and managing the ingestion of merchandise into our multi-staged discount, clearance, and liquidation pipelines. Some particular challenges include:
Developing and acting on a measure of inventory health across our network that speaks to the personal needs of each Stitch Fix client in conjunction with merch and finance partners
Optimizing the assortment of new inventory at each warehouse to ensure each client can find the best 5 items for their next fix
Managing the freshness and quality of inventory through optimizing the ingestion of new merchandise into our network and managing low performing merch through our clearance process
Proactively developing and grading novel approaches to fulfillment, including global network strategy and transportation
Identify and support opportunities to increase the velocity and visibility of our merch to increase the work our inventory does as we own it
This team has considerable opportunity for impact, by combining a deep focus on ensuring a client-right approach to inventory management with smart, active processes to increase business efficiency and unit margin.
You're excited about this opportunity because you will…
Solution at high speed with an eye for delivering 50%, 80%, and 100% solutions over the lifetime of a project
Drive novel decisioning in logistics and fulfillment strategy that leverage Stitch Fix’s key differentiators in personalization and styling
Work cross-functionally with product, engineering, and business leaders to develop and scale logistical capabilities
Leverage data to power optimization engines that drive higher margins while better serving clients with just the right merchandise
We’re excited about you because…
You drive for resiliency. You take a principled approach to complexity, and can make smart bets on where to invest time and system burden for maximum business impact
You have a background or expertise in performing optimization, Operations Research, or B2C logistics in an integrated, performant system
You know how to balance short-term needs with a long view when building a product
You are comfortable developing and maintaining production code in Python, including principled deployment and testing
You can smartly leverage insights and models from across the business to scale your ability to action on data
You’re happiest as a team player, able to balance time against multiple systems and work streams that span the team’s charter
Why you'll love working at Stitch Fix…
We are a group of bright and kind people who are motivated by challenge. You can be your authentic self here, and are empowered to encourage others to do the same!
We are a successful company at the forefront of tech and fashion, redefining retail for the next generation
We are a technologically and data-driven business
We are committed to our clients and connected through our vision of “Transforming the way people find what they love”
We love solving problems, thinking creatively and trying new things
We believe in autonomy & taking initiative
We are challenged, developed, and have meaningful impact
We take what we do seriously. We don’t take ourselves seriously
We have a smart, experienced leadership team that wants to do it right & is open to new ideas
We offer competitive compensation packages and comprehensive health benefits
You will be proud to say that you work for Stitch Fix and will know that the work you do brings joy to our clients every day
About Stitch Fix
At Stitch Fix, we’re about personal styling for everybody and we believe in both a service and a workplace where you can be your best, most authentic self. We’re the first fashion retailer to combine technology and data science with the human instinct of a Stylist to deliver a deeply personalized shopping experience. This novel juxtaposition attracts a highly diverse group of talented people who are both thinkers and doers. All of this results in a simple, powerful offering to our customers and a successful business serving millions of men, women, and kids. We believe we are only scratching the surface on our opportunity, and we’re looking for incredible people like you to help us carry on that trend.
Please review Stitch Fix's Recruiting Privacy Policy here:
https://www.stitchfix.com/privacy/usrecruitingprivacy
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Head Of Data Science | Citizen |
About Citizen
Citizen is the No. 1 public safety app in the U.S., with a mission to make the world a safer place. Citizen provides 911 alerts and user-generated content so people can use their phones to keep themselves, and the people and places they love, safe. Citizen has notified people to evacuate buildings while they were burning, diverted school buses from nearby terrorist attacks, and led to the rescue of kidnapped children and missing people. We act fast, break news, and give people the immediate information they need to stay safe. And we’re just getting started.
Our subscription product—Citizen Premium—is a first-of-its-kind personal safety subscription that allows users to reach a digital safety agent 24/7. Subscribers have used Citizen Premium to de-escalate tense domestic situations, guide emergency response to remote hiking locations, and travel safely on late-night walks and ride shares.
Already relied on by millions of people every day, Citizen is continually expanding to keep more users safe and informed. We’re looking for hardworking, mission-driven individuals to help bring Citizen to hundreds of cities nationwide.
Citizen is backed by Sequoia Capital, 8VC, Founders Fund, Goodwater Capital, and Greycroft and has raised $100M+ in VC funding.
About the role:
We are looking for an organized, data-driven, and curious player/coach to work cross-functionally across the product, engineering and various other departments. As the Head of Data Science, you will support and inform various functions throughout the company to solve business-critical issues, specifically related to our product, features, etc. Our data team supports all parts of the business and are generally aligned around the key pillars of growth and revenue. The growth team focuses on scaling Citizen through content strategy and improving app UX, while the revenue team focuses on driving paid acquisition through improved premium feature value, as well as exploring creative new monetization streams. The ideal candidate will be able to thrive in an ever changing start-up environment and be able to adapt quickly to changes within the business.
What you’ll do here:
Establish and implement the organizational structure, goals, processes and tools for the data science team
Represent the data function to the rest of Citizen. Lead the day to day operations of the data team
Help strategize with senior leadership to develop the product roadmap that supports the company’s vision and mission
Build, manage and develop a team of talented data scientists embedded as thought partners within product verticals and own reporting, experimentation and longer-form analyses that generate insights and guide product and company strategy
Embark on a dynamic and hands-on management role where you'll have the opportunity to not only lead and direct your team, but also actively contribute and make a tangible impact through executing key individual contributor tasks
Leverage analytics and quantitative methods to inform and influence decision-making
Influence and build relationships with people across all levels of the organization, internally and externally
We’d love to hear from you if you have:
6+ years experience as a data scientist or product analyst
Extensive experience collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level
Ability to challenge the status quo: ability to challenge peers constructively and get buy-in for new ideas
Strong communication skills: ability to tell a story with data and adjust communication based on audience understanding of data.
Ability to navigate ambiguity and operate effectively in the face of uncertainty
Preferred
At least 3 years experience managing a data science or product analytics team
Experience with a modern data stack: GCP, Tableau, dbt, Stitch, and BigQuery
Experience in consumer technology
Experience managing teams in a startup environment
Salary Range & Benefits:
The below represents the expected salary range for this position in New York, New York. We take a number of factors into account when determining compensation including your location, experience, and other job-related factors.
Salary Range: $200,000-$270,000 annually + equity + benefits
Citizen offers a competitive benefits package including medical, dental, vision, flexible spending accounts, paid time off, company holidays, stock option plan, commuter benefits, and various wellness perks.
Citizen is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class.
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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.
Our brands include:
FanDuel — A game-changing real-money fantasy sports app
FanDuel Sportsbook — America’s #1 sports betting app
FanDuel TV — "The Bettor Sports Network" bringing live sports and interactive content to the games fans care about most
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 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 PLAN:Everyone 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 STATS:What 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.
#LI-Hybrid
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Senior Data Scientist Product Pricing | 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.
Department Summary
Data, Discovery, and Decision Science (D3) is the research and analytics organization at Allstate. In D3, you’ll be surrounded by 360+ tenacious and intellectually curious colleagues in an inclusive culture that encourages you to take risks, challenge the status quo and shape the future for the greater good. We are solving some of today’s most complicated analytics problems, making the lives of our Allstate colleagues easier and more productive, and driving our mission to deliver targeted insurance solutions to our customers. We are partnering to incorporate analytics into every aspect of the enterprise. We are avid about learning new ways to get the most value from our massive data resources and leading-edge technology. We are committed to building an inclusive and diverse team where everyone has an equal opportunity to succeed. We strive to hire people from different backgrounds so that we can better serve our diverse customer needs.
Job Summary:
As a Lead Data Scientist in the Pricing Sophistication Team, you'll play a hybrid role, leading and coaching a small team of Data Scientists and performing hands-on work, building innovative pricing and underwriting models to support transformation in Allstate's Business Insurance (ABI) products. You can look forward to an excellent partnership with the stakeholders you'll be supporting; several models have been successfully adapted and have been major drivers in advancing ABI's competitive position. Signal intelligence will continue to advance pricing sophistication and you'll be a pivotal part of driving this forward and allowing ABI to reimagine commercial underwriting.
If you possess Insurance Pricing or modeling experience and you'd enjoy having broad influence on peers and the business area you're supporting, we'd love to review your credentials.
Key Responsibilities:
Uses best practices to develop complex statistical, machine learning techniques to build models that address business needs and to improve the accuracy of our data and data-driven decisions
Reviews, evaluates and communicates appropriateness of modeling techniques and results to team, leadership and stakeholders to ensure these are well understood and incorporated into business processes. Develops and executes communication strategy, keeping stakeholders informed and finding opportunities to influence the direction of work
Collaborates with the team and works on data and complex business problems in order to improve the effectiveness of business decisions and business results through designing, building, and partnering to implement machine learning/predictive models. Understands the business’ problems to identify the optimal modeling approach.
Identifies languages and tools that can bring efficiencies or needed techniques to the team. With coaching can identify new areas of data, research and models that can solve business problems.
Utilizes effective project planning techniques to break down moderately complex and occasionally complex machine learning/predictive modeling and/or development projects into tasks and ensure deadlines are kept
Mentors and develops others
Education and Experience:
Master’s or PhD
3 or more years of related experience
Insurance pricing and/or modeling experience is a big plus
Functional Skills:
Experience in managing and manipulating large, complex datasets and ability to analyze and interpret moderate to complex concepts
Ability to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to others with different levels of expertise
Functional pricing, rating plan design, and insurance regulation knowledge, with working knowledge of personal lines underwriting and product offerings preferred
Demonstrated Analytic Agility and ability to quickly learn and switch topics
Ability to use and learn a wide variety of tools and languages to achieve results
Ability to code and develop prototypes in various languages
Experience in using statistical modeling and/or machine learning techniques to build models that have driven company decision making
Experience with advanced system programing
Experience working with Agile team
Knowledge of advanced machine learning techniques and libraries
Knowledge of full stack development
Compensation offered for this role is $108,000 - $150,000 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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Senior Implementation Analyst | Zearn |
Who We Are:Zearn is the nonprofit educational organization behind Zearn Math, the top-rated math learning platform used by 1 in 4 elementary-school and more than 1 million middle-school students nationwide. Zearn Math supports teachers with research-backed curriculum and digital lessons proven to double the learning gains of a typical year of instruction. Zearn Math instructional materials – including 450+ hours of digital math learning – are free for teachers and families. Zearn also offers school and district- and statewide licenses and professional development to support implementation. Everything Zearn does is driven by the belief that every kid can be a math kid. Learn more about us at https://about.zearn.org/. Zearn is seeking a Senior Implementation Analyst to conduct mixed-methods research on the most effective strategies for maximizing Zearn usage in districts across the country. As a Senior Implementation Analyst, you will manage end-to-end execution of Zearn's implementation research, in partnership with Zearn’s Research Manager, and act as a thought partner to design Zearn’s implementation research strategy. This research includes quantitative analysis of usage trends from backend data, methodological design of research on Zearn’s Implementation Playbook, collection and analysis of data from Zearn coach and trainer notes, school site visits, and in-depth interviews related to implementation of Zearn. You will also collaborate with multiple stakeholders to create research that will generate relevant and actionable insights and ensure implementation strategy aligns with research findings. What This Role Will Do:Collaborating on research design: Working with stakeholders across the organization to define research agendas and create data-collection strategies; Partnering with Research Manager on the design of methodologically robust projects to study patterns in implementation. Owning execution of research: Creating tools for data collection; Collecting and organizing data from diverse sources: usage, interviews, field notes, etc.; Cleaning the data and conducting both qualitative and quantitative analysis. Facilitating continuous improvement across Zearn: Translating research insights into actionable recommendations to continuously improve implementation and support all kids to love learning math; Facilitating data-driven inquiry and collaboration for Zearn coaches and other on-the-ground implementation staff; Generating and delivering presentations of outcomes; Supporting data-driven design of implementation strategies with multiple stakeholders. What You’ll Bring to the Role: 3+ years experience in mixed-methods research design and execution including regression analysis, longitudinal analysis, survey design, in-depth interviews, focus-group facilitation, and observation in schools; Hands-on experience with education data and/or school implementation a plus; The ability to support cross-functional teams and on-the-ground practitioners in data-driven inquiry; An understanding of best practices in both quantitative and qualitative research and the strengths and limitations of each; Experience using Stata and ATLAS.ti strongly preferred; Strong writing and presentation skills with an ability to translate research findings to technical and non-technical audiences; Master’s in relevant field of education, social science or data analysis; Bachelor’s with equivalent experience acceptable; Humility, a team-oriented mindset, and an eagerness to roll up your sleeves and dig into tactical work; A strong commitment to Zearn’s mission of providing an exceptional education to all children. Location:This role is remote, but you may be asked to travel as needed for business or team building purposes.Compensation & Benefits:We offer a competitive benefits package, including comprehensive medical, dental and vision plans, short- and long-term disability, life insurance, 401K matching, parental leave, and a generous PTO policy. We also offer a collegial and passionate culture and the potential to positively impact the lives of millions of children.To Apply: https://apply.workable.com/j/2E47B43FE2 Zearn is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment is decided on the basis of qualifications, merit, and business need.
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Sr Director Data Science And Analytics | Ovative Group |
About Ovative Group
Ovative Group is the premier independent media and measurement firm in the United States. We help change makers, in fast-growing, customer-centric organizations across industries reinvent their marketing and measurement programs. We leverage our media, measurement, and consulting capabilities to help brands like Coach, Kate Spade, Stuart Weitzman, Facebook, The Home Depot, CVS, Disney, and UnitedHealth Group transform their media and marketing programs. Our proprietary approach to measuring and optimizing marketing investment decisions, Enterprise Marketing Return (EMR), is disrupting the industry and setting the gold standard for customer and marketing strategy, activation, and measurement.
Recognized six consecutive years on Star Tribune’s list of Top 150 Workplaces and four years on Inc.5000’s list of the fastest growing private companies in America, we pride ourselves in always overdelivering for our clients, our teams, and our communities.
About This Role
As the Senior Director of Data Science & Analytics, you will play a key role in developing advanced marketing measurement capabilities that unlock our company vision to transform the measure of marketing success. You’ll be at the forefront of delivering differentiated marketing measurement solutions focused on maximizing profitable enterprise revenue and future customer value. You will be responsible for advancing data science & advanced analytics as capabilities including defining the right organization, tools & tech, process and governance needed to meet the measurement needs of our teams & clients. You’ll identify and deliver against opportunities to leverage modeling, analytics & reusable tools to increase the speed & accuracy of data-driven decisions for our teams and unlock revenue streams for Ovative through service offerings in partnership with our consulting team. You will create an inclusive culture that inspires and motivates the team as well as attracts new, diverse talent to the organization.
Role Responsibilities
Lead high-performance teams, including data science & advanced analytics, and be responsible for your team’s productivity, operational excellence and business impact
Responsible for leading the development and deployment of cutting-edge machine learning models, data science tools, & advanced analytics, including incrementality testing & customer analytics, aimed at driving client value across multiple business verticals
Partner closely with Engineering and Product Management to support development and implementation of innovative measurement solutions & products
Recruit & retain outstanding diverse data science talent by fostering an inclusive culture that inspires & motivates and by providing mentoring, training and other opportunities for professional development
Assist with business development as needed, including RFP response and sales presentations
Provide client and client development support as needed
Build strong relationships across the organization to understand internal stakeholder needs and build trust across the organization
Role Requirements
10+ years of related work experience in data science, analytics, or related field
Accomplished leader with 4+ years managing data science & advanced analytics teams in a product-centric organization
Expertise in development & applications of marketing & customer measurement (e.g. MMM, MTA, diminishing returns, forecasting, LTV, segmentation, etc.) needed and experience in AI, machine learning & statistical tools preferred
High level of business acumen with experience in digital & traditional marketing
Demonstrated ability to attract and retain top, diverse talent and develop high performing, engaged teams
Ability to communicate clearly and lead discussions with technical and non-technical stakeholders, including clients & executives
Benefits of Working at Ovative Group
We provide strong, competitive, holistic benefits that understand the importance of your life inside and out of work, including:
Flexible paid vacation policy
401k match program
Free parking and on-site fitness center with locker rooms
Sabbatical program
Charitable giving via our time and a financial match program
Shenanigan’s Day
Compensation and Insurance:
We strive to hire and retain the best talent in the Twin Cities. Paying fair, competitive compensation, with a large bonus incentive, and phenomenal health insurance is an important part of this mix. We’re rewarded fairly and when the company performs well, we all benefit.
Culture:
Culture matters and we’ve been recognized as a Top Workplace six years running because of it. We demand trust and transparency from each other. We believe in doing the hard and complicated work others put off. We’re open in communication and floor plan. We’re flat – our interns sit next to VPs, our analysts work closely with senior leaders, and our CEO interacts with every single person daily. Put together, these elements help foster an environment where smart people challenge and support each other in performing to their highest potential.
Working at Ovative won’t be easy, but if you like getting your hands dirty, driving results, and being surrounded by the best talent, it’ll be the most rewarding job you’ll ever have. If you think you can make us better, we want to hear from you!
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Sr Data Scientist Strategic Projects | Ovative Group |
About Ovative Group
Ovative Group is the premier independent media and measurement firm in the United States. We help change makers, in fast-growing, customer-centric organizations across industries reinvent their marketing and measurement programs. We leverage our media, measurement, and consulting capabilities to help brands like Coach, Kate Spade, Stuart Weitzman, Facebook, The Home Depot, CVS, Disney, and UnitedHealth Group transform their media and marketing programs. Our proprietary approach to measuring and optimizing marketing investment decisions, Enterprise Marketing Return (EMR), is disrupting the industry and setting the gold standard for customer and marketing strategy, activation, and measurement.
Recognized six consecutive years on Star Tribune’s list of Top 150 Workplaces and four years on Inc.5000’s list of the fastest growing private companies in America, we pride ourselves in always overdelivering for our clients, our teams, and our communities.
About This Role
As the Senior Data Scientist, you will play a key role in
Developing advanced marketing measurement capabilities that unlock our company vision to transform the measure of marketing success. You will be at the forefront of developing and delivering differentiated marketing data science and measurement solutions focused on maximizing profitable enterprise revenue and customer value for our clients.
Partnering with driven, solution-minded experts, business leaders, analysts, and scientists at Ovative in engaging with clients, and defining approaches and road maps for solutions to client problems.
Technical mentoring of junior data scientists, guiding their algorithmic, testing methodological approaches, and reviewing their code.
Working with technology leaders, product owners and engineers to convert novel solutions developed to scalable new services and products at Ovative.
Being a part of an inclusive culture that inspires and motivates the team and attracts new, diverse technical talent to the organization.
Role Responsibilities
Lead technical contributor in a high-performance data science & advanced analytics team, responsible for your team’s productivity, operational excellence, and business impact
Drive value across multiple business verticals by leading the technical development and deployment of impactful and interpretable models
Partner closely with Engineering and Product Management to scale your team’s innovative measurement solutions into product and service offerings
Provide mentoring, training, and other opportunities for effective technical development of data scientists
Assist with technical parts of business development as needed, including RFP response and sales presentations
Build strong relationships across the organization to understand
Role Requirements
5+ years of related work experience in data science, analytics, or related quantitative field
Accomplished technical contributor in data science & advanced analytics teams, preferably in a product-centric organization
Experience in machine learning & statistics needed, along with demonstrated proficiency in scalable coding (SQL, and/or R or Python) and data science tools (Git, Docker)
Elevated level of business acumen with experience in digital & traditional marketing preferred.
Bonus if you have deep expertise in development & applications of marketing & customer measurement methods (e.g. Media Mix Models, Attribution Modeling, Customer Life Time Value, Segmentation, etc.)
Demonstrated ability to think independently, lead and influence
Ability to communicate clearly and lead discussions with technical and non-technical stakeholders, including clients & executives
Pay Transparency
At Ovative, we offer a transparent view into three core components of your total compensation package: Base Salary, Annual Bonus, and Benefits. The salary range for this position below is inclusive of an annual bonus. Actual offers are made with consideration for relevant experience and anticipated impact. Additional benefits information is provided below.
For our Senior Data Scientist positions, our compensation ranges from $79,000 to $132,000, which is inclusive of a 20% bonus.
Benefits of Working at Ovative Group
We provide strong, competitive, holistic benefits that understand the importance of your life inside and out of work
Culture:
Culture matters and we’ve been recognized as a Top Workplace five-years running because of it. We demand trust and transparency from each other. We believe in doing the hard and complicated work others put off. We’re open in communication and floor plan. We’re flat – our interns sit next to VPs, our analysts work closely with senior leaders,
and our CEO interacts with every single person daily. Put together, these elements help foster an environment where smart people can support each other in performing to their highest potential.
Compensation and Insurance:
We strive to hire and retain the best talent in the industry. Paying fair, competitive compensation, with a large bonus incentive, and phenomenal health insurance is an important part of this mix. We’re rewarded fairly and when the company performs well, we all benefit.
Tangible Amenities We Enjoy:
Flexible paid vacation policy
401k match program
Free parking and on-site fitness center with locker rooms
Sabbatical program
Charitable giving via our time and a financial match program
Shenanigan’s Day
Working at Ovative won’t be easy, but if you like getting your hands dirty, driving results, and being surrounded by the best talent, it’ll be the most rewarding job you’ll ever have. If you think you can make us better, we want to hear from you!
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Data Scientist | Vmware |
The Security Analytics Engineering group is looking to hire a Data Scientist to help lead the development of cutting-edge machine learning models to better protect our users from malicious actors and improve our customer product experience. We are looking for a hands-on engineering leader with deep data science and software engineering expertise who can help architect and own the platform for deploying and tuning the machine learning models used to protect user authentication and security.
The teams focuses on using analytics, machine learning, and threat research on petabyte-scale data to deliver security value to millions of business users across thousands of businesses. The product portfolio is a part of the rapidly growing Carbon Black Cloud platform that delivers next-generation endpoint protection capabilities from the cloud. Now with the full resources of VMware, you have the opportunity to make an impact and build upon Carbon Black’s success.
Responsibilities include:
Lead the efforts to define the vision of how Data Science and Machine Learning will be used at Carbon black threat analytics and Alerts management .Use analytical and statistical methods, programming, data modeling, simulation, and advanced mathematics to analyze large amounts of data, recognizing patterns, identifying opportunities, posing security questions, and making valuable discoveriesDevelop algorithms to detect anomalies, assess risks/threat, classify and prioritize alerts, and group related entities for investigation enhancementsDocument projects including business objectives, data gathering and processes, leading approaches, final algorithm, and detailed set of results and analytical metricsWork with Data Engineers to design and maintain data processing pipelines to support new decision and scoring models.
What you bring:
Degree MS/PhD in Machine Learning, Computer Science, Electrical Engineering, Statistics, Applied Math, or other quantitative fields3-5 plus years experience developing data models as a Data Scientist and experience building products backed up ML /AI.Working experience in analytics, data mining, and/or predictive modeling, and data interpretation.Proven track record in modifying and applying advanced algorithms to address security problems in core engineering work.Experience implementing machine learning models, data pipelines and testing frameworks for production useHands on skills on industry-standard machine-learning stack (Jupyter, pandas, numpy, sklearn, Keras, Spark).Working knowledge of AWS Sagemaker, Lambda, and API Gateway including production deployment
Bonus:
Experience in big data technologies. (Spark, Flink, MapReduce, HDFS, Hive, Presto, Avro, Parquet, Airflow, etc)Experience in the Security domain is a plus
This job may require the candidate to travel and/or work from a facility that requires full vaccination prior to entry.
Category : Engineering and TechnologySubcategory: Software EngineeringExperience: Manager and ProfessionalFull Time/ Part Time: Full TimePosted Date: 2023-01-10
VMware Company Overview: At VMware, we believe that software has the power to unlock new opportunities for people and our planet. We look beyond the barriers of compromise to engineer new ways to make technologies work together seamlessly. Our cloud, mobility, and security software form a flexible, consistent digital foundation for securely delivering the apps, services and experiences that are transforming business innovation around the globe. At the core of what we do are our people who deeply value execution, passion, integrity, customers, and community. Shape what’s possible today at http://careers.vmware.com.
Equal Employment Opportunity Statement: VMware is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: VMware is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at VMware are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. VMware will not tolerate discrimination or harassment based on any of these characteristics. VMware encourages applicants of all ages. Vmware will provide reasonable accommodation to employees who have protected disabilities consistent with local law.
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Data Scientist Game Dse | Netflix |
Now is an amazing time to join Netflix as we seek to entertain the world. We have over 200 million paid members in over 190 countries, and we won’t stop there. Games are our next big frontier and an incredible opportunity for us to deliver new experiences to delight and entertain our quickly growing membership. You will be jumping in at the very beginning of this adventure and be in a position to help us redefine what a Netflix subscription means for our members around the world.
Data Science and Engineering (‘DSE’) at Netflix is aimed at using data, analytics, and sciences to improve various aspects of our business. We are looking for a Data Scientist to join our Games DSE team, supporting experimentation and advanced data science needs. This role will be partnering closely with our Game studio stakeholders to drive data informed decisions by building predictive models, conducting statistical analysis and deriving business insights. As a member of this team, you will also play a role in presenting insights that shape our decision making and ensure decisions are sound from a statistical perspective.
What You Will Do:
Partner with our Game stakeholders (e.g., Netflix Games Development team, Game Developers, Game Strategy, Planning & Analysis team) on advanced analytic initiatives (e.g., prediction modeling, causal inference, experimentation etc)Assist in the design, analysis, and interpretation of experiments that shape decision-making around Games at NetflixProactively perform data exploration to discover future testing opportunitiesPartner on high impact projects end to endPresent your research and insights to key stakeholdersWork with business stakeholders to connect analysis to key decisions that affect the business to influence and drive impact to the businessBalance handling ad hoc requests while also driving larger projects forward
Who You Are:
You have statistical skills utilized in A/B testing, analyzing observational data, and modelingYou have an advanced degree in Statistics, Econometrics, Mathematics, Physics, or a related quantitative fieldYou are comfortable working with large data sets and analyzing complex data with SQL and other tools such as Python or RYou have a strong bias to action, delivering results quickly with iteration instead of waiting for perfectionYou are a fast learner and are comfortable with ambiguous requests. You are curious about our data and business overall and are willing to deep dive into projects that have high impactYou have exceptional communication skills and can manage stakeholder priorities directly Experience in Games industry a plus
Our culture:
You can learn more about Netflix’s unique culture of Freedom and Responsibility, that presents an opportunity to work with some of the best and the brightest, allowing you to make a difference to our business in a meaningful way.
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.
At Netflix, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and consider your specific job, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location.
The overall market range for this role is typically $150,000 - 900,000.
This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn more here.
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Senior Data Scientist | Cvs Health |
Job DescriptionThe Mental Wellbeing team leverages advanced analytics techniques, consulting approaches and healthcare expertise to power mental health innovation for our members and customers. Our over-arching goal is to deliver high quality mental wellbeing that a is tailored to our members clinical needs, and higher quality of care for a cheaper price. As a Senior Data Scientist – Mental Wellbeing, you will be working with cross-functional experts across the mental wellbeing space including strategy, product, operations, sales, account management and with our clinical experts – to design, build and implement platforms which enable smarter, self-service reporting and analytics across multiple line of businesses and products lines. You will apply your deep experience in machine learning, statistics, and modeling to solve complex problems that are top of mind of our mental wellbeing leaders.Responsibilities:• Write complex SQL queries to extract data from SQL Server/Hadoop/GCP environments which will serve as underpinnings of ad-hoc and recurring analyses• Experience conducting large scale data analysis to support business decision making• Leads and participates in the development, validation and delivery of algorithms, statistical models and reporting tools. Solves complex analytical problems.• Maintains and enhances production data science models that provide customized product design recommendations.• Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry.• Collaborates with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics.• Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions. Interacts with internal and external peers and managers to exchange complex information related to areas of specialization.• Use strong programming skills to explore, examine and interpret large volumes of data in various forms.
Pay RangeThe typical pay range for this role is:Minimum: 90,000Maximum: 180,000
Please keep in mind that this range represents the pay range for all positions in the job grade within which this position falls. The actual salary offer will take into account a wide range of factors, including location.
Required Qualifications• 5+ years of experience working with SQL (developing advanced SQL queries). • 3+ years of experience developing dashboards using any visualization tools such as Tableau).• Strong verbal/written communication and data presentation skills. Must be able to explain technical concepts and analysis clearly to a diverse audience.• Proficiency in most areas of mathematical analysis methods, statistical analyses, and predictive modeling and in-depth specialization in some areas.• 3+ years of experience with Healthcare.
Preferred Qualifications• 3+ years of experience with Python, GitHub preferred.• Familiarity with agile frameworks.• Master’s degree or PhD preferred.
Education• Bachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.
Business OverviewBring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.
Apply
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Senior Data Scientist Data Engineer Health Equity | Cvs Health |
Job DescriptionAnalytics & Behavior Change is an innovation engine supporting the entire CVS Health organization by embedding deep insights into key decision processes and focusing on our biggest, most complex problems. Join Analytics & Behavior Change to make a meaningful difference to our communities through data and analytics and help CVS Health change the landscape of the health care industry!As a CVS Health colleague, you’ll be at the center of it all. We offer a diverse work experience that empowers colleagues for career success. In addition to skill and experience, we also seek to attract and retain colleagues whose beliefs and behaviors are in alignment with our core values of collaboration, innovation, caring, integrity and accountability.As a Senior Data Scientist / Data Engineer within CVS Health, you will:• Bring a product centric mindset to drive enterprise-wide solutions, side by side with cross functional teams• Work in a fast-paced service-oriented environment; interacting directly with a wide portfolio of clients on solution design, product enhancements ideas and new features for future product releases• Bring experience in guiding technical and non-technical teams and consultants in best practices for large-scale data engineering • Deploy models in production environment, apply Quality Assurance principals• Understand parallel computing and pipeline process automation (for example scheduler, airflow)• Demonstrate fluency with storage, manipulation, and management of relational, non-relational and streaming data structures, specifically SQL, Spark, Teradata and Hadoop• Advanced knowledge in cloud infrastructure | GCP, AWS, Azure• Develop algorithms and statistical predictive models and determine analytical approaches to evaluate scenarios and potential future outcomes• Perform analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry• Collaborate with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics.• Use strong knowledge in Data Science and Data Engineering to investigate problems, detect patterns and recommend solutions• Use strong programming skills to explore, examine and interpret large volumes of data in various formsPreference is for this employee to work in a hybrid model being onsite 2 days a week or 3 days every other week (subject to change) in one of our Analytics Hubs (Chicago, IL OR Wellesley (Boston), MA), however full-time, work from home will be considered for the right candidate.
Pay RangeThe typical pay range for this role is:Minimum: 90,000Maximum: 180,000
Please keep in mind that this range represents the pay range for all positions in the job grade within which this position falls. The actual salary offer will take into account a wide range of factors, including location.
Required Qualifications• 3+ years’ experience working as a Data Scientist or Data Engineer• Experience programming using Python• Experience working with Healthcare Data
Preferred Qualifications• Experience in Data Engineering, working with large teams and remote agile squads• Experience working with Platform teams. Understanding of data governance, data architecture, user interface. • Ability to synthesize information from disparate data sources, evaluating suitability of data sources for specific use case.• Experience leading analysis and initiatives with a track record of business impact.• Ability to communicate technical concepts and implications to business partners.
EducationBachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.Master’s degree or PhD preferred
Business OverviewBring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.
Apply
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Data Scientist | Cvs Health |
Job DescriptionThe Mental Wellbeing team leverages advanced analytics techniques, consulting approaches and healthcare expertise to power mental health innovation for our members and customers. Our over-arching goal is to deliver high quality mental wellbeing that a is tailored to our members clinical needs, and higher quality of care for a cheaper price. As a Data Scientist – Mental Wellbeing, you will be working with cross-functional experts across the mental wellbeing space including strategy, product, operations, sales, account management and with our clinical experts – to design, build and implement initiatives which enable smarter, self-service reporting and analytics for our largest clients. You will apply your experience in research, statistics, and modeling to solve complex problems that are top of mind of our mental wellbeing leaders.Responsibilities:• Write complex SQL queries to extract data from SQL Server/Hadoop/GCP environments which will serve as underpinnings of ad-hoc and recurring analyses• Experience conducting large scale data analysis to support business decision making• Participates in the development, validation and delivery of algorithms, statistical models and reporting tools. Solves complex analytical problems.• Maintains and enhances production models that provide customized designs and recommendations for our clients.• Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry.• Collaborates with clients and internal business partners to understand challenges and influencing the resolution of root cause through advance analytics. • Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions. Interacts with internal and external peers and managers to exchange complex information related to areas of specialization.• Use strong programming skills to explore, examine and interpret large volumes of data in various forms.
Pay RangeThe typical pay range for this role is:Minimum: 70,000Maximum: 140,000
Please keep in mind that this range represents the pay range for all positions in the job grade within which this position falls. The actual salary offer will take into account a wide range of factors, including location.
Required Qualifications2-3 years of experience in SQL working with big data platforms (e.g., HDP, AWS, GCP, etc.) and multiple data sources• 2-3 years of experience developing dashboards using any visualization tools such as Tableau • Strong verbal/written communication and data presentation skills. Must be able to explain technical concepts and analysis clearly to a diverse audience• 2-3 years of experience with Python, GitHub preferred, and proficiency in most areas of mathematical analysis methods, statistical analyses, and predictive modeling and in-depth specialization in some areas.
Preferred Qualifications– Masters in statistics, research, advance analytics– Healthcare sector experience– Familiarity with agile frameworks
Education– Bachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.– Master’s degree or PhD preferred
Business OverviewBring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.
Apply
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Senior Data Scientist | Transunion |
TransUnion's Job Applicant Privacy NoticeWhat We'll Bring:At TransUnion, we strive to build an environment where our associates are in the driver’s seat of their professional development, while having access to help along the way. We encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day.Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology.What You'll Bring:• Graduate-level degree preferred with concentration in a quantitative discipline such as data science, statistics, mathematics, economics, computer science or aligned discipline• 2-4 years practical experience working as a data scientist applying machine learning to real-world problems• Great communication skills to articulate technical aspect of model development to internal and external customers• Excellent understanding of machine learning techniques and algorithms, such as Classification, Regression, Clustering, Feature Engineering, Decision Trees, KNN, Gradient Boosting, etc.• Experience with common tools in the data science toolkit, such as R, Python, Anaconda, TensorFlow, SQL, Scikit-learn, Keras• Proficiency in using query languages such as SQL• Proficiency with applied statistical concepts, such as distributions, statistical testing, regression, regulation• Logical, evidence-based problem solving and critical thinking skills• Team focused and evidence of supporting project team membersImpact You'll Make:• Utilize statistical and machine learning techniques to create high-performing models that comply with regulatory and privacy requirements and address business objectives and client needs• Research and develop new approaches, keeping up to date• Test new statistical analysis methods, software and data sources for continual improvement of quantitative solutions, implementing as needed• Process, clean, and verify the integrity of data used for analysis• Perform ad-hoc analysis and present results clearly• Communicate results and ideas to key decision makers• Create clear and easy to understand documents for models.• Present analysis of ideas, progress reports and results to internal and external customers• Collaborate with Lead Data Scientist to develop technical/business approaches and new or enhanced technical tools.• Collaborate with colleagues for process implementation.• Complete all responsibilities as outlined on annual Performance Plan.• Complete all special projects and other duties as assigned.#LI-SG1Benefits: TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, tuition reimbursement, primary parental leave of at least 16 weeks, secondary parental leave of 4 weeks, adoption assistance, fertility planning coverage, spousal and domestic partner benefits, bonus incentives, charity gift matching, employee stock purchase plan, retirement contributions with employer match, organizational growth potential through our online learning platform with guided career tracks, and access to TransUnion’s Employee Resource Groups. We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. TransUnion's Internal Job Title:Consultant, Data Science and Analytics
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Sr Data Scientist | Transunion |
TransUnion's Job Applicant Privacy NoticeWhat We'll Bring:At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation. We are consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius. Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology.This position is responsible for supporting the development of analytic solutions through consulting engagements for TransUnion’s clients across a broad array of credit, fraud, insurance and marketing business applications.This position requires a good general understanding of US financial services risk management practices and familiarity with credit bureau data and solutions.What You'll Bring:· Master’s or PhD degree in statistics, applied mathematics, financial mathematics, computer science, engineering, operations research, or other highly quantitative field; or a Bachelor’s degree in a quantitative field with at least five (5) years of relevant professional experience. In either case, the candidate will demonstrate a consistent track record of academic excellence.· Experience and demonstrated success directly supporting internal or external clients over a period of at least two (2) years and at least two (2) years of professional experience performing analytic work, preferably in industries served by TransUnion. These experiences may or may not overlap.· Demonstrated interest in industries served by TransUnion, such as financial services, insurance, fraud, and digital marketing.· Ability to apply strong project and time management skills to lead multiple projects simultaneously with limited supervision in a collaborative and fast-paced environment.· Evidence of strong analytical, critical, and creative thinking and willingness to take initiative in problem-solving.· Versatile interpersonal skills with the ability to effectively communicate at multiple levels within and outside the organization· Proven ability to operate effectively in a complex and dynamic, matrixed environment.· Advanced programming skills and aptitude; proficiency with statistical programs such as R or Python; experience with other programming and data manipulation languages (SQL, Hive, Spark, C/C++, Java, Ab Initio); high level of familiarity with Micros oft Office tools.· Ability to travel 10-20% of the time.Impact You'll Make:· You will partner with internal and external cross-functional teams to drive new business initiatives and deliver long term, value added solutions to TransUnion customers. These tasks will include –among others- the development of predictive models and business intelligence solutions for customers within the various industries served by TransUnion.· You will lead analytic client engagements involving descriptive, predictive, and prescriptive analysis for a variety of business use cases leveraging multiple analytic techniques. As a project leader, you will take ownership of all aspects of the project from design, to development, to peer review, to client presentation, to implementation and audit.· You will own analytic consulting responsibilities for a variety of clients, working to identify strategies and opportunities to test and adopt TransUnion’s analytic products and services. In this capacity, you will interact directly with TransUnion Sales and business unit partners and provide an analytic perspective and general support as needed.· You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers representing a wide range of backgrounds and levels.· You will provide oversight and hands-on support for the development of analytic solutions using languages such as R, Python, SQL, Hive and Spark, formalizing some of these efforts into repeatable process improvements.· You will contribute to research and innovation initiatives in collaboration with other DSA peers and may lead small analytic research teams or manage research interns on a project basis, as needed.· You will participate in the mentoring and training of junior colleagues, fostering a high-performance culture and cultivating an environment that promotes excellence and reflects the TransUnion brand.· You may participate in the interviewing and evaluation of new talent.#LI-SG1Benefits: TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, tuition reimbursement, primary parental leave of at least 16 weeks, secondary parental leave of 4 weeks, adoption assistance, fertility planning coverage, spousal and domestic partner benefits, bonus incentives, charity gift matching, employee stock purchase plan, retirement contributions with employer match, organizational growth potential through our online learning platform with guided career tracks, and access to TransUnion’s Employee Resource Groups. We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. TransUnion's Internal Job Title:Consultant, Data Science and Analytics
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Data Science Lead Restaurants | Square |
Company Description
We believe the economy is better when everyone has access. No one should be left out because the cost is too great or the technology too complex. We started with a little white credit card reader but haven’t stopped there. We’re empowering the independent electrician to send invoices, setting up the favorite food truck with a delivery option, helping the ice cream shop pay its employees, and giving the burgeoning coffee chain capital for a second, third, and fourth location. We’re here to help sellers of all sizes start, run, and grow their business—and helping them grow their business is good business for everyone.
Job Description
The Square for Restaurants team is focused on empowering Food & Drink businesses of all kinds to start, run, and grow their business, ultimately helping them deliver exceptional hospitality to their customers. Understanding these businesses and how they operate from a holistic, data-driven perspective is crucial in providing them with the best resources to achieve this goal.
As the Data Science Lead for the Square for Restaurants team, you'll be responsible for building a team that drives analytics projects, leads experimentation, and provides insights to bring a deep understanding of our merchants to product decision-making for the team. You will report to the General Manager of Square for Restaurants and partner with product, marketing, design, and engineering leads on product and business strategies.
Team Description
The Restaurants team within Square is a focused initiative charged with empowering Food & Drink businesses of all kinds to start, run, and grow their businesses through advanced workflows, specialized products, business insights, and inclusion in the greater Square ecosystem. Square’s mission is economic empowerment, and our team supports this by using data to understand and empathize with our customers, thereby enabling us to build a remarkable product experience.
The Restaurants team owns multiple products that Food & Drink businesses use, such as the Point-of-Sale, the Kitchen Display, and the overall product experience of restaurant type merchants. As Data Scientists, we operate as full-stack data partners, having the ability to play a crucial role in every part of every product that our team owns, from the inception of a new feature to the automated insights derived from machine learning models. These tasks include:
Partnering with product stakeholders to make data-driven decisions across the organization by leveraging descriptive and predictive analytics where it will have a material impactApplying a diverse set of tactics including statistics, quantitative reasoning, and machine learning, to solve problems as well as independently research and produce actionable insightsOwning, coordinating, and solving complex, cross-functional problemsCommunicating analysis and decisions to high-level stakeholders and executives in verbal, visual, and written mediaDesigning A/B tests and evaluating the results, communicating to the team the actual product impact that they makeLeading the data strategy of Square for Restaurant sub-teams, influencing them to make well-informed architectural and design decisions that affect data at SquareProviding comprehensive day-to-day analytics support, developing tools and resources to empower data access and self-service so your expertise can be leveraged where it is most impactful
Qualifications
You have:
2+ years of experience in people management with a track record of building high-performance teams and growing talent6+ years of data science and analytics experience or equivalentExperience building relationships to influence product partners with dataExperience leading cross-functional projects that depend on the contributions of others in multiple disciplinesFamiliarity with data warehouse design and best practicesFluency with data, analytics, and visualization technologies (we use SQL, Looker, and Python) that will allow you to support and mentor the team and their technical growthExperience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn, LTV, cross-selling, and clustering user archetypes
Nice to have:
M.S. or Ph.D. in a quantitative field (mathematics, statistics, or similar STEM field)Experience working on business and product initiatives in the Restaurants or Retail space
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 $202,500 - USD $247,500
Zone B: USD $192,400 - USD $235,200
Zone C: USD $182,300 - USD $222,800
Zone D: USD $172,200 - USD $210,400
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, 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, and always assess candidates on an individualized basis.
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 Product Data Scientist Bitcoin Wallet | Square |
Company Description
Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.
Job Description
We're building a bitcoin wallet for the next 100M bitcoin users - importantly for people around the world who likely haven't yet used bitcoin as a savings tool or for its payments capabilities yet. Our goal is economic empowerment -- starting with bringing easy-to-use, reliable wallet that helps people around the world own and manage their bitcoin, rather than having to rely on several tools and services that don't work well together and are challenging to use for a wide global audience.
Our goal is to make the future of money intuitive, and safe while helping customers build a better financial future. We're assembling a team experienced in an extremely wide range of disciplines, including business, operations, design, software, hardware, security, and so many other aspects of product delivery.
We are hiring our first Product Data Scientist to help our product, marketing, engineering and customer support teams make data-driven decisions about what and how we build for our customers when helping them manage their money. This is a unique opportunity to not only be embedded with an early stage team where you'll have close proximity to strategy and building so you can produce action-oriented analyses, but you'll also influence our data infrastructure and tooling decisions.
Because you will work with bitcoin data across different sources (internal systems, blockchain, lightning network, etc.), an understanding of how these technologies function or demonstrated experience or interest working with this data is a big plus.
You will report to our Head of Business within Bitcoin Wallet. You can be based anywhere remotely in the United States, as well as in several countries around the world including the UK, Ireland, the Netherlands, Germany, among other countries.
Come build the future of money with us! Learn more through our newsletter here.
You Will:
Empower our team to use data to make business decisions as we build a global product from its earliest days- an opportunity to build data analysis into the infrastructure of a team from day 1Develop both backwards-looking analysis on product performance, marketing effectiveness, monetization and pricing and other main product and business decisions, as well as forward-looking predictive models to help us better understand customers and their needs (e.g. cluster analysis that help us map customer segments back to product usage, retention models)Empower the teams with data and help them to make decisions on improving product features and building a meaningful roadmap (e.g. funnel metrics, analysis of churn and CS data, etc), as well as influencing important decisions like pricing based on acquisition and retention insightsAs a member of the Business team, you'll have the product and business context to be able to proactively spot trends and connect sometimes seemingly disconnected data sets to help the team develop and prove out hypotheses across the end to end lifecycle, forming cohort analysis on things like acquisition channels, etc.Navigate external data sets such as publicly available blockchain data insights (eg bitcoin blockchain analysis) to help us understand things like our total addressable market (TAM) as well as SAM and SOMDesign and help run statistically-significant experiments across different cohorts of customers and ensure hygienic approach to things like causation vs correlationCreate models that help us to analyze risk and security threats as well as optimize key decisions on our approach to money movement (i.e. transaction modeling)Support and guide in our early data infrastructure decisions with product and engineering - as we are a zero to one team, you will get to shape the data infrastructure decisions we make so we have scalable ways of working where data is easily accessible to the right people on our team, all while ensuring that data is secure and aligned with our privacy principles and commitment to customers and partners.
Qualifications
You Have:
Background in working in product-driven organizations and building and sharing data-driven insights to help make decisions with 8+ years of experienceExperience with cohort and funnel analyses, an understanding of statistical concepts such as selection bias, probability distributions, and conditional probabilitiesExperience telling stories and making relevant recommendations with dataYou've set up and run A/B tests and other types of experimentation designs and can help ensure statistical significance in the right testing environmentWith technical skills, you can automate complex processes and construct data pipelinesExperience with data visualization tools (e.g. Looker, PowerBI, Tableau etc.)Work in collaborative team environments including Product, Marketing, Engineering, Design and ResearchThrives in earlier stage environments - you're a self-starter who gets excited about complex, sometimes vague, or longer-term problems and can be creative on how to solve those problems with data and insightsFamiliarity or interest in learning blockchain analytics as we are building in the bitcoin space and external data sets will help you uncover richer trends and recommendations; ability to connect internal and external data sourcesTechnical skills: Python or R, Advanced SQL
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 Commerce Platform Fulfillment | Square |
Company Description
Square builds common business tools in unconventional ways so more people can start, run, and grow their businesses. When Square started, it was difficult and expensive (or just plain impossible) for some businesses to take credit cards. Square made credit card payments possible for all by turning a mobile phone into a credit card reader. Since then Square has been building an entire business toolkit of both hardware and software products including Square Capital, Square Terminal, Square Payroll, and more. We’re working to find new and better ways to help businesses succeed on their own terms—and we’re looking for people like you to help shape tomorrow at Square.
Job Description
Square’s mission is economic empowerment, and our team supports this by using data to understand and empathize with our customers, thereby allowing us to build a remarkable experience. The goal of the Fulfillment team is to lower the barrier to entry for our Sellers to move into a more complex fulfillment landscape. While keeping the experience accessible and available to anyone. As a member of the Fulfillments team, you will use engineering, analytics, and machine learning to empower data-driven decision-making in the full lifecycle of product development and ensure a cohesive platform experience. While reporting to the Commerce Platform Analytics lead, you will help lead the effort to help define metrics to track progress against organizational goals, develop solutions to personalize product experiences, provide insights to our sellers about their business, and drive strategic decisions with data.
You will:
Partner directly with the Fulfillments product team to make data-driven decisions across the organization by applying descriptive and predictive analytics where it will have a material impactApply 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 scienceCommunicate analysis and decisions to high-level partners and executives in verbal, visual, and written mediaLead the data strategy of embedded product engineering, to help make well-informed architecture and design decisions that affect data at SquareDevelop resources to empower data access and self-service so your expertise can be leveraged where it is most impactful
Qualifications
You have:
6+ 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 on product & platform initiatives focused on measuring platform success
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, 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, and always assess candidates on an individualized basis.
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 Product Data Scientist | 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 app, bringing a better way to send, spend, invest, borrow and save to our millions of monthly active users. With a mission to redefine the world's relationship with money by making it more relatable, available and accessible, at Cash App you'll have the opportunity to make a real-world impact with your career.
Today, Cash App has thousands of employees around the world with a culture geared toward creativity, collaboration and impact. We’ve been a distributed team since day one, and continue to value working across time zones and continents both remotely and in our Cash App offices.
Our offices are great, but many of our roles can be done remotely from the countries where Block operates. We tailor our experience to champion our employees’ creativity and productivity wherever they are.
Job Description
We are looking for Senior Product Data Scientists to join Block and help build Cash App, the fastest growing financial app in the world. We are reinventing the way people think about banking and financial services through our P2P, Banking, Cash Card, Boost, BTC, and stock investing products. We derive valuable insights from our extremely unique datasets and turn those into actions that improve the experience for our customers every day.
As a PDS at Cash App you will:
Partner directly with a Cash App product team, working closely with product managers, engineers, and designersAnalyze large datasets using SQL and scripting languages to surface meaningful/actionable insights and opportunities to the product team and other key stakeholdersApproach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behaviorDesign and analyze A/B experiments to evaluate the impact of changes we make to the productWork with engineers to log new, useful data sources as we build new product featuresBuild, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiativesWrite code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader teamBuild and share data visualizations and self-serve dashboards for your product teamEffectively communicate your work with team leads and cross-functional stakeholders on a regular basis
Qualifications
You have:
1-2 years of data science and analytics experience in industryA PhD or other relevant graduate degree in the physics, economics, statistics, or a similar STEM fieldExperience with scripting and data analysis programming languages, such as Python or RAdvanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc)Experience with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilitiesExperience in a high-growth tech environmentAn appreciation for the connection between your work and the experience it delivers to customersIntellectual curiosity and a passion for what Cash App is building
Technologies we use and teach:
SQL (MySQL, Snowflake, BigQuery, etc.)Python (Pandas, Numpy)Tableau, Airflow, Looker
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 $152,100 - USD $185,900Zone B: USD $144,500 - USD $176,700Zone C: USD $136,900 - USD $167,300Zone D: USD $129,300 - USD $158,100
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 Square For Retail | Square |
Company Description
Since we first opened our doors in 2009, the world of commerce has evolved immensely – and so has Square. After enabling anyone to take a payment 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, run a busy kitchen, book appointments, engage loyal buyers, and hire and pay staff. And 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 all in one place.
Today, we’re a partner to sellers of all sizes – large, enterprise-scale businesses with complex commerce operations, sellers just starting out, as well as merchants who began selling with Square and have grown larger over time. As our sellers scale, so do our solutions. We all grow together.
There is a massive opportunity in front of us. We’re building a business that is big, meaningful, and lasting. And we are helping sellers around the world do the same.
Job Description
Retailers have struggled too long with clunky, outdated and disconnected tools. Even as mammoth Retail and e-commerce forces threaten to disrupt smaller merchants, we are empowering those merchants with simple and elegant solutions to complex problems - like predictive analytics and fluid, omni-channel capabilities to meet customers wherever they are - to always make the sale. Square for Retail is one of Square’s three vertical Point of Sale solutions, focused on serving upmarket sellers.
Square’s mission is economic empowerment, and Data Scientists support this by using data to understand and empathize with our customers, thereby enabling us to build a remarkable product experience. You and your fellow data science & analytics teammates on the Retail Analytics team are embedded within product and marketing sub-teams (“squads”), leveraging data engineering, analytics, statistics, and machine learning to empower data-driven decision making in the full life cycle of product development.
You will:
Partner with the product, design, and marketing stakeholders to identify, prioritize, and answer the most important questions where analytics can have a material impactApply a diverse set of tactics such as business intelligence, statistics, exploratory analysis, and machine learning; discerning where simple analytics solutions (e.g. a quick heuristic or visualization) are preferable to complex solutions (e.g. machine learning)Contribute to the data strategy of product engineering, influencing engineers to make well-informed architecture and design decisions that affect data at Square
Qualifications
You have:
5+ years of analytics experience, and a Bachelor’s degree or equivalent professional or academic experienceFluency in SQL, with experience exploring and understanding large, complex datasets & data systemsExperience working with technical and non-technical partners, such as product managers and product marketing managersExperience with statistical and machine-learning techniques to solve practical business problems such as hypothesis testing, cross-selling, clustering user archetypes, and predicting churnExperience with a BI tool such as Looker or Tableau
Even better:
An advanced degree (M.S., PhD.) in Mathematics, Statistics, Computer Science, Physical Sciences, Economics, or a related technical fieldExperience with data warehouse design, development and best practices
Technologies we use and teach:
SQL (Snowflake)OptimizelyAirflow (ETL)Looker, Amplitude, TableauPython (pandas, scikit-learn, etc.)
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. Canada locations are categorized into one of two 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: CAD $117,100 - USD $143,100
Zone B: CAD $113,000 - USD $138,100
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, 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, and always assess candidates on an individualized basis.
Perks
We want you to be well and thrive. Our global benefits package includes:
Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources
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 Machine Learning Modeller | 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 app, bringing a better way to send, spend, invest, borrow and save to our millions of monthly active users. With a mission to redefine the world's relationship with money by making it more relatable, available and accessible, at Cash App you'll have the opportunity to make a real-world impact with your career.
Today, Cash App has thousands of employees around the world with a culture geared toward creativity, collaboration and impact. We’ve been a distributed team since day one, and continue to value working across time zones and continents both remotely and in our Cash App offices.
Our offices are great, but many of our roles can be done remotely from the countries where Block operates. We tailor our experience to champion our employees’ creativity and productivity wherever they are.
Job Description
Machine Learning is an integral part of how we design products, operate, and pursue Cash App’s mission to serve the unbanked as well as disrupt traditional financial institutions. Our massive scale and deep trove of transaction data create an endless number of opportunities to use artificial intelligence to better understand our customers and offer new products and experiences that can improve their lives. We are a highly creative group that prefers to solve problems from first principles; we move quickly, make incremental changes, and deploy to production every day.
This role will be embedded on our Risk ML team. In this role you'll build machine learning models that detect fraudulent activity in real time and help keep our customers safe and secure. You will experiment with state-of-the-art algorithms to drive down false positives, collaborate on new product features to drive fraud losses down, use any and every dataset at your disposal (including 3rd party data) to engineer new features for risk models, verify customer documents using OCR, and use biometric and device signals to detect malicious logins and account takeovers.
Technologies we use (and teach):
Python (NumPy, Pandas, sklearn, xgboost, TensorFlow, keras, etc.)MySQL, Snowflake, GCP/AWS and TableauJava
Qualifications
You have:
6+ years experience with applied Machine Learning or Deep LearningA graduate degree in Computer Science, AI, ML, Applied Math, Stats, Physics, or a related technical fieldWorked with Product, Design, and Engineering to prioritize, scope, design, and deploy ML modelsA track record of providing mentorship and technical leadershipAn appreciation for the connection between the software you build and the experience it delivers to customers
Additional Information
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, based solely on the core competencies required of the role at hand, and without regard to any 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.
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 Consultant | Datakind |
DataKind is looking for a Data Scientist Consultant!
Objective
Nonprofit organization DataKind is requesting proposals from junior and mid-level data scientists.
Context
DataKind is a global nonprofit dedicated to harnessing the power of data science and artificial intelligence (AI) in the service of humanity. DataKind matches skilled volunteers from academia and industry with visionary changemakers, collaboratively designing innovative solutions to tough social challenges.
People are at the center of our process: DataKind follows human-centered design principles that focus on questions such as “why?”, “for whom?” and “should we?” before we get going on the “what?”. We’ll continue our work until all people and all communities can use digital technology for the outcomes they want to see, with an emphasis on including those who have historically been excluded from the technology sector or will be impacted by the intervention.
Engagement Description
DataKind’s success ultimately comes down to the quality, timeliness, and effectiveness of our volunteer data science projects. Our Data Scientist Consultant will support a portfolio of internal and volunteer-led projects using cutting-edge technology to help high-performing organizations nation-wide make an even greater impact. In this highly visible and high impact role, you’ll assist teams with any challenges they might face in building sustainable solutions.
The Data Scientist Consultant will report to the Head of Data Science and will work closely with other staff and pro bono data scientists.
This is a full-time remote consultant role from mid March through September 30, 2023. Due to the collaborative nature of the role, we require that the majority of working hours each day fall between 8am and 6pm Eastern Standard Time.
What You’ll Do
The Data Scientist Consultant will be responsible for the following in addition to any other projects assigned by their manager:
Help manage data science and business intelligence products hosted by DataKind
Advance data science solutions beyond prototype phase
Carry out feasibility studies and exploratory analyses for proposed projects and areas of opportunity
Provide data science support for the portfolio of volunteer data science projects at DataKind
Advance internal analytics reporting and automation capabilities
The consultant should be willing to work a flexible schedule to meet on some nights or weekends with volunteer teams or to help run DataKind events.
Qualifications
At least 3 years of work experience, preferably including experience in a nonprofit or start-up context.
Fluency in data science technology stack including R/Python, SQL, Postgres, AWS, and related technologies.
Deep experience in machine learning/AI with confidence in applying, tuning and evaluating a wide variety of AI algorithms, from logistic regression and random forests to deep learning.
Comfort and skill in communicating highly technical information to semi- and non-technical audiences.
Proven track record of successfully managing full lifecycle tech/AI projects.
Experience managing technical teams and deliverables in the volunteer, non-profit or tech spaces (or perhaps all three.)
Ability to motivate people to collaborate towards a shared goal, to keep them engaged throughout the process, and to intervene as needed to make sure balls don’t get dropped.
Demonstrated customer service orientation that will allow you to represent DataKind well to our volunteers and partners alike.
Compensation
$75 - $150/hour
Based on the candidate’s level of experience.
Proposal
By 9:00 am ET on Tuesday, February 28, 2023, interested parties are requested to provide the following:
A resume describing relevant professional experience
A cover letter that includes a short description of why you are interested in the position and outlines how your qualifications align with the role
If possible, a relevant work sample that demonstrates your ability to break down complex concepts in a compelling, approachable way. This could be any medium - github profile, thesis, blog post, etc. - and could have redacted information as needed.
Two references (name, phone number, and email address) from similar work, including a brief description of each project scope
Selection
Strong proposals will be contacted for further discussion. These will be selected based on relevance of past experience and alignment with DataKind’s goals and budget.
DataKind is an Equal Opportunity Employer
DataKind is an equal opportunity employer and strongly encourages candidates from underrepresented groups in tech to apply. DataKind does not discriminate on the basis of race, color, gender, disability, religion, national origin, age, sexual orientation, genetic information, pregnancy, or any other protected category.
Applicants must be currently authorized to work in the United States.
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Sr Data Scientist | Clearcover |
Who's Clearcover?
Clearcover is the smarter car insurance company. We use powerful technology to offer everyday drivers better coverage for less money. We’re proud to be one of the fastest growing startups in Chicago, and we’re currently looking to add a few more extraordinary people to our team.
What is a Sr. Data Scientist at Clearcover?
Clearcover has an enormous range of opportunities around data science and machine learning ranging from marketing and acquisition, fraud detection, customer experience, and claims payment. As a Sr. Data Scientist, you will work closely and independently with our business partners, product teams, data engineers, and machine learning engineers to build and deploy machine learning and AI models to create and deliver real and measurable value for our customers. You will lead, coach, and mentor more junior data scientists while working independently on complex data science problems. We’re looking for someone curious and passionate about data and machine learning and using them to solve real world problems.
What will you do?
Lead, coach, and mentor junior data scientists
Review machine learning models and code
Work with our product managers and business stakeholders to identify and scope the highest value data science problems
Explore and understand our data and how they can feed production-grade machine learning models
Proactively utilize data and business understanding for feature engineering
Build, prototype, and deploy state-of-the-art machine learning models to solve real business problems
Communicate, interpret, and explain modeling output to stakeholders
Measure value of the machine learning models we deploy
What do you need?
3+ years of professional experience working as a data scientist
Experience mentoring, managing, or leading data scientists
Experience reviewing others’ models and code
Expertise in building and deploying machine learning models that have been adopted or implemented, and achieved measurable value
Experience using the Python data science stack; including pandas, scikit-learn, NumPy, XGBoost, notebook environments, etc.
Experience with Python, including object-oriented programming
Knowledge of SQL, including Snowflake or similar systems
Expertise with different types of machine learning techniques
Strong conceptual understanding of machine learning applied to real-world data, including the ability to identify and articulate modeling and data issues
Ability to work in and lead teams
Ability to quickly learn and keep up with the latest ML and AI technology
Ability to effectively communicate technical concepts to non-technical audiences
Nice to Haves?
Experience working in insurance, marketing, or fraud
An advanced degree
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, live yoga, and mental health workshops.
Top of the line hardware, snack stipends, 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 identity 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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Lead Data Scientist | Clearcover |
Who's Clearcover?
Clearcover is the smarter car insurance company. We use powerful technology to offer everyday drivers better coverage for less money. We’re proud to be one of the fastest growing startups in Chicago, and we’re currently looking to add a few more extraordinary people to our team.
What is a Lead Data Scientist at Clearcover?
Clearcover has an enormous range of opportunities around data science and machine learning ranging from marketing and acquisition, fraud detection, customer experience, and claims payment. As a Lead Data Scientist, you will work closely and independently with our business partners, product teams, data engineers, and machine learning engineers to build and deploy machine learning and AI models to create and deliver real and measurable value for our customers. You will lead, coach, and mentor more junior data scientists while working independently on complex data science problems. We’re looking for someone curious and passionate about data and machine learning and using them to solve real world problems.
What will you do?
Lead, coach, and mentor junior data scientists
Review machine learning models and code
Strategize with our product managers and business stakeholders to identify and scope the highest value data science problems
Explore and understand our data and how they can feed production-grade machine learning models
Proactively utilize data and business understanding for feature engineering
Build, prototype, and deploy state-of-the-art machine learning models to solve real business problems
Communicate, interpret, and explain modeling output to stakeholders
Measure value of the machine learning models we deploy
What do you need?
5+ years of professional experience working as a data scientist
Experience mentoring, managing, or leading data scientists
Experience reviewing others’ models and code
Experience strategizing with key stakeholders and multiple business units
Expertise in building and deploying machine learning models that have been adopted or implemented, and achieved measurable value
Experience using the Python data science stack; including pandas, scikit-learn, NumPy, XGBoost, notebook environments, etc.
Experience with Python, including object-oriented programming
Knowledge of SQL, including Snowflake or similar systems
Expertise with different types of machine learning techniques
Strong conceptual understanding of machine learning applied to real-world data, including the ability to identify and articulate modeling and data issues
Ability to work in and lead teams
Ability to quickly learn and keep up with the latest ML and AI technology
Ability to effectively communicate technical concepts to non-technical audiences
Nice to Haves?
Experience working in insurance, marketing, or fraud
An advanced degree
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, live yoga, and mental health workshops.
Top of the line hardware, snack stipends, 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 identity 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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Sr 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.
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
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 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
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, live yoga, and mental health workshops.
Top of the line hardware, snack stipends, 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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Sr Auto Data Scientist Pricing R D | 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. Auto 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.
What will you do as a Sr. Auto 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
What will you bring as a Sr. Auto Data Scientist?
3+ years of experience with applying advanced quantitative or predictive modeling techniques
Experience in Property and Casualty 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
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, live yoga, and mental health workshops.
Top of the line hardware, snack stipends, 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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Director Decision Science Analytics Small Business Insurance | Usaa |
Why USAA?
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
This role can be remote or located at one of our USAA campuses: San Antonio, TX; Phoenix, AZ; Colorado Springs, CO; Charlotte, NC; Chesapeake, VA or Tampa, FL.
The candidate selected for this Commercial Lines position is going to get work with the recently launched Small Business Insurance product within USAA. They will work alongside an energetic team with a startup mentality, within the incredible culture of USAA.
Leads and develops a highly analytical staff that provides decision support for business areas across the enterprise. By serving as a strategic partner to the business this function will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change.
The Opportunity
Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies, standards, and procedures for business activities.As a strategic partner, leads or collaborates with other analytical leaders in executing the strategic direction of the business using mathematical and statistical techniques and/or innovative/quantitative analytical approaches.Develops team reputation as highly skilled experts in the area of decision science support.Oversees and coordinates analytical tasks which include the evaluation of the business problem, analytical methodology, validation, documentation and presentation of findings and recommendations.Monitors, understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.Identifies additional resource needs ranging from IT investments, 3rd party support or additional analysts and provides business rationale and justification for additional needs.Understands the business direction, environment and strategies, to set the analytic direction and creates strategy to execute the approach that will influence business and drive change.Leads the effort and/or partners with enterprise analytics teams to build USAA core analytics capabilities and processes.Builds and oversees a team of employees for assigned functional area through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities. Assigns and or Serves as a mentor for mathematical skills and statistical techniques and guides teams to use the appropriate approaches, to drive fact-based decision-making.Maintains and innovates knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.Researches and pursues the latest and/or industry leading practices in data and analytics, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data) to advance the overall DSA community knowledge.Identifies opportunities to continue to learn in the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc.) or formal (E.g. Certifications or advanced coursework).Works with IT/CTO partners to advance new data and platforms that correspond to evolving skill sets.
Minimum Requirements:
Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.8 years of experience in a decision support analytic function or advanced degree in relevant discipline, 6 years of experience in a decision support analytic function.3 years of direct team lead or management experience.Demonstrates expert skills in mathematical and statistical techniques and approaches used to influence Business Strategy with fact-based decision-making to all levels of leadership up to senior executive levels.Modernizes knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.
Preferred Experience:
Lead actuarial strategy for third-party data.Lead Analytic Data Consumption efforts.Lead the technical design & development for proprietary pricing algorithms.Perform of non-traditional models and data (including vendors).5+ years commercial insurance pricing or UW experience.2+ years people management experience.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $157,000 - $282,600.
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.
Relocation assistance is not available for this position.
USAA is 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, disability, or status as a protected veteran.
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Quantitative Risk Analyst Senior Aml | Usaa |
Purpose of Job
USAA values a culture that is highly collaborative, and we have found that a hybrid work type helps employees gain the best of both worlds – collaborating in-person in the office and working from home. The actual onsite days are settled between each employee and the employee’s manager. Candidates are encouraged to live a commutable distance from one of our offices in San Antonio, TX, Plano, TX, Phoenix, AZ, Tampa, FL, Colorado Springs, CO or Charlotte, NC. [This position also has the option to be remote. ]
The AML Quantitative Risk Analyst Senior will support the Control Validation function within Enterprise AML Operations Control team, analyzing, assessing, and testing data controls that are critical to the AML monitoring and Sanctions screening at USAA, providing effective internal challenges to model development assumptions, threshold setting, model tuning, and segmentation to ensure AML monitoring and Sanctions screening at USAA align with regulatory requirements, USAA risk profile and enterprise risk management policy and standards. The Quantitative Risk Analyst Senior will work closely with AML Information Stewards, AML Information Governance, AML Model Development team and AML IT towards improved AML data quality and model controls. The ideal candidate will have a strong background in AML monitoring, sanction screening, and AML risk typologies.
Provides risk management support for a line of business or staff agency in key risk identification, measurement and aggregation, and the understanding and management of risk through appropriate quantitative and analytical practices and processes. Conducts and develops quantitative and analytic models, assessments and/or applications in support of risk management efforts that assess the market and identify risks and gaps in existing or proposed processes. Applies diverse methodologies and deep experience in quantitative analytics to identify and solve complex and/or undefined risk problems. Monitors the risk and control environment to ensure that exposures are kept at acceptable levels and may consult on risk mitigation plans. Works with leadership to remediate gaps and improvements identified between existing practices and regulatory requirements.
Job Requirements
Primary Responsibilities:
Uses advanced analytics to assess future risk, opportunities, and effectiveness and translates results into relevant solutions to enhance decision making.Applies advanced knowledge and industry standard processes to quantify risk and aggregate exposures.Engages in model validation and produces model validation reports.Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make recommendations to answer business objectives and motivate change.Translates recommendations into communication materials to effectively present to colleagues for peer review and management.Applies advanced knowledge to produce advanced analytical material for discussions with cross functional teams to understand complex business objectives and influence solution strategies.Provides mentorship to other team members in the peer review process.
Minimum Qualifications: [education and min requirements are combined under this header]
Bachelor's degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, or other quantitative subject area or 4 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.6 years related quantitative analysis experience in a subject area relevant to risk management to include statistical analysis, modeling, mathematics or other quantitative subject area OR advanced degree/designation in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, or other quantitative subject area and 4 years work experience in a quantitative subject area relevant to risk management OR PhD in Economics, Finance, Statistics, Mathematics, or other quantitative subject area and up to 2 years work experience in a quantitative subject area relevant to risk management.
Preferred Qualifications:
4+ years of experience in BSA/AML transaction monitoring and Sanction screening model development, model tuning or model validation experience4+ years of advanced data analytics experience4+ years of Statistical analysis experience using SAS or PythonExperience working with big data and relational databaseExperience with Actimize SAM, Actimize CDD and Bridger sanction screening highly desiredFamiliarity with retail banking products and their associated BSA/AML and Sanction risksCAMS or other applicable industry certification
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. The salary range for this position is: $107,900- $194,200.
Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.
Relocation assistance is not available for this position.
USAA is 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, disability, or status as a protected veteran.
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Data Scientist | Everstream Analytics |
JOIN OUR TEAM
Everstream Analytics is looking for a Data Scientist to join our Data Science team. As a member of Data Science, you will join a dynamic team of people focused on our next generation product. We have an exciting opportunity to help shape how we use data to build models and generate actionable insights to give our customers a risk aware supply chain which will advance outcomes for the business and the industry.
POSITION OVERVIEW
In this role, your focus will be to implement Knowledge Graph models, algorithms, experiments and deployable code that bridge operational needs with strategic vision. You will spend time tackling day to day decisions and contributing to strategic vision. You will learn current processes, build data backed solutions, automate solutions, launch your work to production, and audit implementation. In the simplest terms, we want candidates who have experience building models to solve real industry problems that have been deployed in a real production software environment and where the model performance was really important.
Principal Accountabilities
Initiate the efficient implementation of methods, tools, and algorithms for preliminary data exploration, data visualization and preparation, model training, and algorithm validation and verification using a comprehensive range of software packages and programming languages
Identify, retrieve, manipulate, relate and/or exploit multiple structured data and unstructured data sets from various sources
Interpret and evaluate the results of data science community's methods and models and/or algorithms, understanding the limitation and scope of the results
Respond to difficult data science-related challenges in a timely manner while effectively balancing competing priorities
Present information and results of analysis using data visualization techniques
Qualifications
Bachelor of Science in Computer Science, Statistics, Mathematics, Physics, Engineering or a related field. Advanced degree is preferred. Equivalent work experience is also acceptable.
2+ years’ experience in building and deploying predictive analytics models using advanced machine learning algorithms and techniques such as: clustering, classification, regression, anomaly detection, natural language processing
Proficiency in Python and SQL
Experience with analytical development tools and libraries such as Pandas, NumPy, Scikit-learn, Spacy, PyTorch, Keras
Familiarity with graph theory, graph query languages, graph algorithms
Self-starter with a curious attitude and a willingness to learn and master new technologies
Ability to act easily in a global environment, with understanding of cultural differences and behavior
English: both oral and written proficiency, with ability to clearly communicate technical results to both technical and non-technical audiences
Desired skills
Experience with graph databases, query languages and graph DS libraries (Neo4j strongly preferred)
Familiarity with knowledge graphs and entity resolution
Exposure to graph-native machine learning models such as GNNs
Experience developing applications in AWS
#LI-AB1
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Data Scientist | Koddi |
Passionate about development in leading technologies? Looking to become a major player on a diverse team in your next career adventure? Koddi Data Scientists drive innovation by embracing challenges and leveraging decision science to solve complex problems in adtech. In this position, you will be responsible for designing, building, and deploying complex systems to model and glean useful insights from billions of rows of data. You will inform decisions based on complex statistical modeling using machine learning, optimizing and forecasting algorithms powered by industry-leading technologies.
WHAT YOU WILL DO
Build production grade models on large-scale datasets to optimize marketing performance by utilizing advanced statistical modeling, machine learning, and optimization and marketing science research
Use models to address key growth challenges and provide meaningful insights on problems such as cross-channel optimization, targeting optimization, and A/B testing
Provide thought leadership in applying innovative machine learning techniques to solve complex data science problems
Work with cross-functional teams to implement and improve data-driven solutions
Use large scale data processing such as Spark, Hive, and machine learning platformsCollaborate with marketing leadership, design, product and engineering teamsParticipate in project planning/prioritization meetings, partner meetings, etc
WHAT SKILLS AND EXPERIENCE YOU BRING
Minimum of 2 years of working experience as a data scientist with a focus on marketing analytics, machine learning, optimization, real-time bidding (RTB) and digital campaign measurement.
You have an advanced degree in statistics, computer science, operational research, engineering or related field. PhD preferred
Demonstrated expertise with Python.
Experience with Spark and TensorFlow.
Worked extensively with machine learning techniques and advanced analytics (e.g. regression, deep learning, causal inference, mathematical optimization)
Advanced SQL skills - comfortable working with very large data setsPreferably, you have experience with cloud environments such as AWS.
ABOUT KODDI
Koddi's award-winning ad technology platform provides a robust network for brands to connect with consumers and drive revenue through native sponsored placements, metasearch, and programmatic media campaigns.
Based in Fort Worth, Texas, Koddi has additional office locations in New York, Ann Arbor, Austin, San Francisco, and Düsseldorf. We embrace all ways of working inclusive of remote work, in-office work or hybrid work - we want your best self and will support your work preference based on your needs and Koddi’s need.
Koddi has been ranked by Forbes, Deloitte, and the Inc. 5000 as one of the fastest-growing companies in the nation. We’re on a mission to forge a better path to discovery through integrity, insights, inclusivity, and innovation. Come join us!
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Data Scientist Pricing | Gametime |
About us:
Live experiences help make us human, bringing us across today’s social and digital divides to focus on what truly connects us - the here, the now, the once-in-a-lifetime moment that we share - together. To fulfill Gametime’s vision to unite the world through shared experiences, we deliver fans an extraordinary experience for enjoying, discovering, and purchasing last-minute tickets to live events.
With platforms on iOS, Android, mobile web, and desktop supporting events across the US and Canada, we are reimagining the event ticket experience in a mobile-first world.
The Role:
Our company is looking for a team player who is data-driven, organized, and curious to work on Gametime's core infrastructure that determines prices and curation across the site. As a Pricing Analyst, you will support and inform various functions throughout the company to resolve critical business issues. In this role, you will analyze user behavior, pricing, marketplace, and competitor data to provide insights which will impact major business decisions that will determine Gametime's success. The ideal candidate will be able to thrive in a fast-paced environment and be able to adapt to changes within the business and the industry.
Daily Responsibilities:
Deeply understand, propose, and implement new ideas within Gametime’s pricing and curation infrastructure
Analyze user behavior data and funnel metrics, generating recommendations to enhance and improve our pricing and curation programs
Analyze our competitive position in the marketplace and determine how that impacts our ability to conquest market share
Leverage analytics and quantitative methods to inform and influence decision-making
Influence and build relationships with people across all levels of the organization, internally and externally
Our Ideal Candidate Has:
4-5+ years of Data Analyst experience, ideally at a technology company
Proficient in SQL
Experience with Python or R
Understanding of Economic principles and Pricing theories
Ability to identify, analyze, and provide recommendations to complex business decisions
Solid understanding of statistical analysis and experimentation, and capacity to drive conclusions from the analysis
Ability to work across disparate data sources to obtain sensible results
Strong problem-solving skills
Strong collaboration and communication skills
Nice to Have:
Experience with a data visualization software a plus
Experience with A/B testing a plus
Experience analyzing user-centric products, preferably in the gaming or marketplace industries
What we can offer:
Flexible PTO
Medical, dental, & vision insurance
Life insurance and disability benefits
401K, HSA, pre-tax savings programs
Equity
New equipment setup provided
Wellness programs
Tenure recognition
Base Salary Range
$140,000 - $185,000
Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.
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Data Science Manager | Gametime |
About us:
Live experiences help make us human, bringing us across today’s social and digital divides to focus on what truly connects us - the here, the now, the once-in-a-lifetime moment that we share - together. To fulfill Gametime’s vision to unite the world through shared experiences, we deliver fans an extraordinary experience for enjoying, discovering, and purchasing last-minute tickets to live events.
With platforms on iOS, Android, mobile web, and desktop supporting events across the US and Canada, we are reimagining the event ticket experience in a mobile-first world.
The Role:
We are looking for an organized, data-driven, and curious team player to work cross-functionally across the data, marketing, finance, and operations teams. As a data scientist manager, you will support and inform various functions throughout the company to solve business-critical issues, specifically related to our product, features, etc. You will dive into user behavior data to provide insights which will impact major business decisions and own the maintenance of Gametime’s business intelligence reporting. The ideal candidate will be able to thrive in a fast-paced environment and able to adapt to changes within the business and the industry.
What you'll do/own:
Provide insight into critical business decisions, working closely with the executive team to answer pressing issues
Analyze user behavior data and funnel metrics, generating recommendations for product and feature improvements
Manage a team of 5 data scientists across multiple areas of the business to deliver high caliber results and insights
Help grow and maintain the culture of the organization as we scale
Leverage analytics and quantitative methods to inform and influence decision-making
Influence and build relationships with people across all levels of the organization, internally and externally
Our ideal candidate has:
5+ years of Data Analyst experience, ideally at a technology company
2+ years of Management experience
Proficient in SQL
Experience with A/B testing
Ability to identify, analyze, and provide recommendations to complex business decisions
Solid understanding of statistical analysis and experimentation, and capacity to drive conclusions from the analysis
Ability to work across disparate data sources to obtain sensible results
Strong collaboration and communication skills
Experience analyzing user-centric products, preferably in the gaming or marketplace industries
Strong problem-solving skills
Some experience with Python or R
Experience with a data visualization software
What we can offer you:
Flexible PTO
Medical, dental, & vision insurance
Life insurance and disability benefits
401K, HSA, pre-tax savings programs
New equipment setup provided
Wellness programs
Tenure recognition
Equity in the company
Base Salary Range:
$195,000- $220,000
At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including skills/capabilities, experience, and available budget.
Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.
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Lead Data Scientist | Blend |
Company Description
Blend360 is a Dynamic, marketing and analytic consulting company that provides marketing solution services to some of the world’s best known and most respected organizations. We are seeking a Data Science Manager to contribute to our next level of growth and expansion.
As Data Scientists, we work with business leaders to solve clients’ business challenges and improve clients’ marketing results. We contribute our Advanced Data Science subject matter expertise to the recommendations and solutions delivered to our clients.
Job Description
We spend the majority of our time on getting data into proper shape, performing statistical analyses, developing predictive models and machine learning algorithms to solve clients’ business problems. We evaluate different sources of data, discover patterns hidden within raw data, create insightful variables, and develop competing models with different machine learning algorithms. We validate and cross validate our recommendations to make sure our recommendations will perform well over time.
Main Responsibilities
The role will also include significant consulting / client facing work comprised of:Working with practice leaders and clients to understand clients’ business problem, industry context, data sources, potential risk and constraints.Problem solve with practice leaders to translate the business program into a solvable Data Science problem, formulate different approaches, outline pros and cons for each approachWork with practice leaders to get client feedback, get alignment on approaches, deliverables, and overall timelinePerform data cleaning/hygiene, data QC, and integrate data from both client internal and external data sources on Advanced Data Science PlatformConduct statistical data analysis, including exploratory data analysis, data mining, and document key insights and findingsCreate insightful and/or predictive summary variables from granular-level dataDevelop, validate, and cross-validate predictive models and/or machine learning algorithms using Advanced Data Science techniques and toolsDocument predictive models / machine learning results that can be incorporated into client-deliverable documentationDocument key insights, recommend actions client could take, and quantify business impactAssist client to turn models and algorithms into implementable production codes
Qualifications
Master's degree in Statistics, Math, Operation Research, Economics, Advanced Analytics, Computer Sciences, Engineering3+ years of Professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geo-spatial analytics, time series forecasting, optimizationExperience with two or more Advanced Data Science software languages (R, Python, Matlab, Perl, Java, PHP)Experience with structured or un-structured data analysis and tools (SQL, Hadoop, Spark, NoSQL, MySQL, MariaDB, Hive, Pig, etc.)Comfortable with cloud-based platforms (AWS, Azure, Google)Experience with Google Analytics, Adobe Analytics, Optimizely a plusExperience in digital marketing a plusThe starting pay range for this role is $100,000 - $145,000. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 also offers a competitive benefits program to meet the health and financial well-being of our team and their families. You can look forward to a range of benefits including medical, dental, vision, 401K, PTO, paid holidays, commuter benefits, spending accounts, life insurance, disability coverage, and EAPs.
Additional Information
A diverse workforce is a strong workforce
To deliver growth at BLEND360 and for our clients, we believe as a Talent Solutions Company, we have a responsibility and unique opportunity to positively impact the workforce. Diversity has played a critical role in our history, our growth, and continues to have a profound impact on our success. We are determined to have equality in the workplace, within our team and as an extension of our clients’ team.
This is not the work of the moment, and this requires continued learning and purposeful actions. We are investing resources to understand and improve the sourcing, selection and retention of the talent we hire, and ultimately the workforce we provide our clients. We will communicate our journey in the spirit of transparency and shared learning.
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Risk Portfolio Modeling Analytics | Wex |
Global Risk Decision Analytics and Capabilities is a key team in Risk & Compliance organization that ensures WEX’s products and processes deliver robust fraud and credit decisions while providing a great customer experience and supporting WEX’s growth. We are a team of data-driven experts with an outstanding ability and sense of mission to find solutions through innovation and collaboration. We are looking for Risk analyst(s), Portfolio Monitoring, who will be responsible for end to end portfolio monitoring for credit and fraud risk – ensuring full transparency including early indicators and actionable insights, leading to best-in-class credit and fraud results while enabling profitable growth and customer experience for WEX. The successful candidate will have deep knowledge and experience in portfolio transparency including KPI selection and dashboarding, in Risk analytics across the credit and fraud lifecyle and processes, preferably in commercial and small business payments. The successful candidate will be collaborative and a strong communicator with high EQ to work in a matrixed organization. This position will report to the Senior Manager, Portfolio Monitoring. Major Roles and Responsibilities
Develop and manages comprehensive portfolio health monitoring consisting of dashboards and alerting approaches for credit and fraud risk, with KPIs, portfolio trends, root cause analysis and actionable deep dives, across products and line of business in WEX
Synthesizing complex data insights into actionable insights and powerful storytelling and concise communication, tailored to audience including senior leadership and C-suite
Performing qualitative and quantitative analysis (leveraging standard tools such as SQL and Python) on credit and fraud risk trends, and working together with Operations, Decision Science, Risk Strategy, Second line and WEX Bank teams to define, evaluate, and implement potential solutions.
Leveraging relevant quantitative methods including statistical techniques to improve forecasts and produce business insights; leverage visualization and reporting tools (e.g. Tableau)
Continuously monitor additional external data, e.g. credit, fraud and collections performance, conduct deep-dive analyses to explore areas of opportunity, and implement credit controls to address potential/emerging risks
Continuously monitor macro-economic data and industry trends and relate those to trends at WEX; also survey the marketplace to understand industry best practices.
Collaborate with key stakeholders and cross-functional partners across WEX including Risk Operations, Technology, Bank, Marketing, Finance, Legal, Risk and Compliance/BSA/AML.
Leverage quantitative skills to provide decision support on key initiatives
Partner across Risk, Finance and Business to derive strategic insights and evaluate profitability
Job RequirementsEducation and Experience:
Bachelor’s degree required; advanced degree strongly preferred
3+ years of experience in the Credit or Fraud risk analytics and Commercial Risk space, ideally focusing on portfolio monitoring; Payments industry experience a plus
Experience using analytics/statistics and the underlying tool kit to solve complex business problems - Big Data, Python / SQL, ML studio, Data visualization tools
Skills and Abilities:
Strong data visualization, communication and storytelling skills, that distill complex data and systems issues to both technical and non-technical audiences
Ability to think critically in order to analyze problems and develop creative, practical and efficient solutions for a multinational company
The ability to learn quickly, solve complex problems, and perform in a fast-paced environment
Understanding of and experience with risk decision engines and/or payment technology
Leadership qualities that motivate collaboration with others, guiding the prioritization of initiatives
Willingness to learn and continuously build technical skill set
Ability to prioritize and work on multiple projects and tasks at the same time
Adaptable and comfortable working collaboratively and independently in a self-starting manner
The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.Salary Pay Range: $61,500.00 - $82,000.00
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Data Scientist | Blocpower |
BlocPower is a clean energy leader creating smarter, greener, healthier buildings for all by reducing the barriers to money-saving, quality-of-life-improving green building upgrade. We provide engineering, financing and project implementation services for our clients, with a special focus in historically left out communities across the country. These communities, and their buildings, are underserved by traditional energy services companies because they are considered too small, too costly, or too risky. Our portfolio of projects include houses of worship, schools, non-profits, small businesses and multifamily buildings. Through our work, we save our clients money, reduce greenhouse gas emissions, improve health and create local employment opportunities.
At BlocPower, we value our mission. We are trusted advisors that get things done for our customers by using data to make the right decisions. We support and expect excellence from our team members. We treat both our customers and ourselves with care and respect.
As our work is centered around systematically disenfranchised communities – including people of color, people from working class backgrounds, women and LGBTQ people – we strongly encourage applications from people with these identities or who are members of other marginalized communities.
About the Role
To further this mission, BlocPower is looking for a friendly, collaborative, and affectionate Data Scientist to join our growing team. This data scientist will be responsible for building truly large-scale, data-driven predictive models and integrating within our organization. You should have a depth of experience with the model development life cycle, and see yourself adding to as much as benefitting from a supportive team environment.
This role will utilize machine learning methods and tools like Python, Scikit learn, and Spark ML to examine business questions, uncover novel insights, and explore new opportunities. It will also will work closely with data engineers, data analysts, and other data scientists in the team to integrate results into operational platforms. The position includes analytic computing, data analytics, predictive modeling, and the communication of results.
Our ideal teammate is someone who is self-directed, believes in our mission, and is an excellent written communicator.
What You'll Do
Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business solutions
Mine and analyze data from company databases and data lake to drive optimization and improvement of product development, marketing techniques and business strategies
Assess the effectiveness and accuracy of new data sources and data gathering techniques
Develop custom data models and algorithms to apply to data sets
Use supervised and unsupervised machine learning, predictive modeling, and other statistical techniques to increase and optimize opportunities to retrofit buildings, improve customer experiences, refine sales targeting, and support other business outcomes
Coordinate with different functional teams to implement models and monitor outcomes
Develop processes and tools to monitor and analyze model performance and data accuracy
Who You Are
Able to stand up and maintain a MDLC pipeline with little to no supervision, using tools such as AWS Sagemaker, Data Robot, Databricks
Able to perform exploratory data analysis with little to no supervision
Able to perform feature engineering with little to no supervision
Able to evaluate which algorithm is best fit to the use case (egs gradient boosting, decision trees, random forest, or deep-learning)
Able to perform hyperparameter tuning with little to no supervision
Able to implement a deep-learning algorithm using tools such as Keras or TensorFlow
Experience with big data analytics using Spark, Kafka/Kinesis etc
Strong project management and organizational skills
Education & Experience
BA/BS or equivalent combination of work experience and education preferably in degree/course work/experience in computer science/data science
2+ years of experience as a Data Scientist
What You'll Get from Us
Base salary between $120,000 and $130,000
Competitive equity in a growing, Series A startup
Health, dental, vision, 401(k) benefits, plus perks like a One Medical membership and commuter benefits
Bonus Points
Experience with AWS cloud services: EC2, EMR, RDS, Redshift, Glue, Sagemaker
Microservice architectures
Docker, Kubernetes, Docker-Compose
Git and Jenkins
Experience working with IoT/Sensors
This job description is not intended to be a comprehensive list of the duties and responsibilities of the position. The duties and responsibilities may change without notice.
BlocPower™ provides equal employment opportunities(EEO) 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, BlocPower™ complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. 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.
BlocPower™ expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of BlocPower™ employees to perform their job duties may result in discipline up to and including discharge.
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Data Scientist | Copy Ai |
We believe AI will be embedded in today's businesses and help people start tomorrow's businesses. Our SaaS product allows entrepreneurs, marketers, and copywriters to use the latest natural language processing (NLP) models to improve their communication and accomplish business goals.
Over 1 million users have signed up to use our application and we're eager to deliver more value for them. Investors in our recent $11 million Series A round include Zach DeWitt at Wing Ventures, David Sacks at Craft Ventures, Li Jin at Atelier Ventures, Alfred Lin at Sequoia, and 80+ other investors. In March 2022, Forbes identified Copy.ai as one of the language processing AI startups part of a billion-dollar wave.
We’re a scrappy startup so this role is what you make of it, but we’ll help you every step of the way. You’ll be able to look back and see your impact as we grow and evolve. There’s a lot to take on, but we trust that you’re up to the challenge.
Copy.ai is a remote company. All employees must be able to work 9am-5pm in any timezone Pacific to Eastern.
Copy.ai continues to scale, and we are ready to bring on our 1st Data Scientist to join our newly formed Machine Learning Team. Reporting directly to our Head of Machine Learning, our Data Scientist will be a passionate and data-driven expert who will partner closely with internal stakeholders to work with state of the art models and solve open-ended problems and business challenges in the Natural Language Processing (NLP) space. Aside from training models and applying advanced statistical methods to innovate our product, we are looking for someone who isn’t afraid to take risks and experiment. If this sounds like you, we’d love to hear from you!
What you'll do:
Partner closely with the Data and Engineering teams to do initial research, develop functional prototypes, and carry it through to production
Brainstorm creative ideas to conduct fast and reliable online experiments to test our hypotheses.
Apply advanced statistical methods to innovative our product and continuously solve problems
Translate real-world problems into well-posed data science questions with product-oriented goals
Identify and train models and algorithms to discover innovative approaches to solve product challenges and improve operational efficiency
Build, implement, and test your concepts in Jupyter notebooks, and Python, using large-scale data sets.
Evangelize a data-driven culture
About you; You are:
2+ years of experience in delivering machine learning models to production
Proficient with standard SQL and relational databases, and Python and its relevant packages
Understanding of statistics and machine learning; understanding of complexity vs. performance tradeoff in these systems
An effective communicator meaning you can break down very technical concepts and data to various audiences both technical and non-technical.
Passionate about data, experimentation, and PLG-startups
Experience working with engineers and product managers to launch successful software products
Preferably you have a Masters or Ph.D. or advanced degree in a related field
Copy.ai is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We encourage applications from people of all races, religions, national origins, genders, sexual orientations, gender identities, gender expressions and ages, as well as veterans and individuals with disabilities.
What We Offer 😎:
👫 A close-knit and collaborative early-stage startup environment where every voice is heard and every opinion matters; 30 team members as of 08/2022
💰 Competitive salary and stock option equity packages; We're a Series A startup
🏥 Excellent Medical Plans to choose from including HSA plans, PPOs, and HMOs from Kaiser and Aetna; Dental and Vision insurance; Copy.ai pays up to $700/month per employee for monthly premiums
🏠 100% REMOTE startup! Our team is distributed all over the US and Canada
🛫UNLIMITED PTO; We truly believe in work-life balance and that hard work should be balanced with time for rest and rejuvenation
📈 401k plan and automatic 3% employer contribution from Day 1!!!!
💻 Brand new work-sponsored computer
🏝 IRL / In-Person retreats throughout the year
Copy.ai Organizational Values:
⭐️ Customer focus
⭐️ Transparency
⭐️ Data driven
⭐️ Dog-fooding
⭐️ Writing
⭐️ Creativity
⭐️ Learning
⭐️ Ownership
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Data Scientist | Peakmetrics |
Full-time, US-based remote
Compensation: $150k - $180K
Our mission is to protect enterprises and government agencies from disinformation attacks by uncovering threatening online trends and neutralizing them.
PeakMetrics is a cybersecurity solution that extracts insights and creates actionable data from millions of unstructured, cross-channel media datasets in real-time. We use ML to spot adversarial online messaging, understand the audiences behind them, present context such as source credibility, and help customers respond.
PeakMetrics has been battle-tested on some of today’s most complex media issues – from responding to crisis management situations to combating state-sponsored disinformation.
As a Data Scientist you will work directly with our product, engineering, and leadership teams to develop data-heavy products. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
The ideal candidate will have mathematical and statistical expertise, along with natural curiosity and a creative mind. While mining, interpreting, and cleaning our data, this person will be relied on to ask questions, connect the dots, and uncover hidden opportunities for realizing the data’s full potential. As part of a team of specialists, the data scientist will “slice and dice” data using various methods and create new visions for the future.
You will report directly to the Vice President of Engineering.
What you will do at PeakMetrics:
Research and develop algorithms for detection of social media narratives within large volumes of online content.
Conduct and establish data quality assessments.
Conduct data-driven research into misinformation and provide product data science support.
Analyze data to drive optimization and improvement of product development.
Use predictive modeling to increase and optimize customer experiences
Develop company A/B testing framework and test model quality.
Collaborate cross functionally to better understand the end-user and the features needed to solve their problems/pain points in the product.
Grow and develop the data science capabilities, processes, and team within PeakMetrics
We would love to hear from you if:
Strong problem solving skills with an emphasis on product development.
Experience using statistical computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets.
Experience working with and creating data architectures.
Experience in NLP, ML and Data Visualization.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
Excellent written and verbal communication skills for coordinating across teams.
A drive to learn and master new technologies and techniques.
It would be nice if you have:
5-7 years of experience manipulating data sets and building statistical models.
Advanced experience in pattern recognition and predictive modeling.
Benefits
We are looking to build a truly diverse, equitable, and inclusive engineering team. We have a number of outstanding benefits to support that.
We are a fully distributed team. Without a central office, everyone’s on an equal footing wherever you’re based in the United States.
We offer flexible schedules and unlimited time off. Take vacations to recharge! We’re about long-term growth and success, so that means working sustainably.
We provide outstanding health care and vision coverage for you and your family.
We offer a 401(k) and HSA programs.
We are an equal opportunity employer and are committed to building an organization that empowers and promotes diversity, inclusion, equity and belonging (DEIB). We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status.
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Lead Data Scientist Us | Very |
Please read the IMPORTANT section at the end of this posting.
About Very
Very is a fully distributed IoT technology firm led by expert problem-solvers to create efficient, scalable solutions that move commercial, industrial, and consumer IoT projects from pilot to production in record time.
We’ve built a collaborative, tight-knit team that thrives, whether we’re hanging out in person at our annual retreat or coordinating work across time zones. The results show that we’re doing something right — as we’ve won numerous workplace awards over the years. Most recently in 2021 we were certified as a Great Place to Work, and in 2022 we were listed again in Parity.org’s list of Best Companies for Women to Advance.
We believe that everything we build — and the people we build it with — has the potential to change the world. Our client list includes numerous well-known brands determined to leverage the power of IoT to drive material outcomes — such as Vizio, Peloton, Clear, iHeart Radio and Fellowes. Our goal, for each and every client we partner with, is to create high-value solutions through a collaborative and user-centered process.
About This Role
As a Generalist Lead Data Scientist at Very, you will work with our Software, Hardware, and Product Design teams to build full-service solutions for our clients. We focus on building end-to-end hardware and software solutions that meet our client's business needs, and reliable machine learning systems are often a part of our offering. An ideal candidate will display technical expertise in machine learning and data science, strong communication skills, and the ability to present ideas and results to audiences ranging in technical depth. Candidates should also have experience translating business problems into analytical solutions, working in interdisciplinary teams, and building ML models for production systems.
What You’ll Be Working On
At Very, there is a never-ending supply of variety to the projects we work on. However, it is critical to note that almost all of these projects are production systems. As such, the only consistent research component of this position will revolve around establishing a pattern of delivery that allows the team to implement full-scale applications leveraging machine learning in a fast, predictable manner.
You’ll spend 80-90% of your time working on products or platforms for one of our clients, and the other 10-20% of your time will be spent improving Very’s Data Science Practice. This will involve:
- Working with other data scientists to continuously improve our delivery process for data science applications.
- Working with our marketing team to generate high-quality content (blog posts, conference presentations)
- Working with our sales team to close deals and build meaningful, well-scoped proposals for potential clients.
As a lead data scientist, you will be expected to not only understand the following analytical approaches but also be able to guide others in their implementation:
- Predictive modeling and/or anomaly detection on multivariate time series data
- State classification and prediction for geospatial time series data
- Regression and classification using a variety of deep learning and ensemble tree-based methods
- Clustering/segmentation
- Dimensionality reduction or latent space representation
- Classical statistical analysis and signal processing
Our Current Tooling
Our data science contracts typically involve building a greenfield API or greenfield product from the ground up. In the context of the data science and machine learning pipelines, we typically leverage:
- Git, GitHub, CircleCI or GitHub Actions (CI/CD), pytest (TDD)
- The standard SciPy Stack (Numpy, SciPy, Pandas, Scikit-Learn, Matplotlib)
- SQL/Postgres
- Docker
- Jupyter notebooks for prototyping
- Cloud architecture and resources for production systems. eg)
-- AWS: Lambda, ECR/ECS, RDS, API Gateway, Batch, Sagemaker
-- Azure: Functions, Container Registry/Instances, SQL Database [for PostgreSQL/MySQL], API Management, Machine Learning
-- 3rd party: TimescaleDB
- Serverless or Terraform for Infrastructure-as-Code
- MLflow
- PyTorch
On our full-service builds, we often reach for the following tools. Experience with them is not required, but any familiarity with these tools is a plus. Our build teams operate with a very high degree of collaboration, so you will definitely have run-ins with these stacks throughout your time here:
- Python web development frameworks (Django, Flask)
- React & React Native
- Swift & Objective C
- Ruby on Rails
As an IoT technology company our data science pipelines include “Things”. This will require you to build pipelines and deploy analytical models to hardware on the edge in addition to the cloud. This requires a deep collaboration with the design, software and hardware teams in the following environments:
- Elixir, Phoenix, and Nerves
- Embedded C and other lower level languages such as Rust
- CI/CD including hardware and end-to-end testing and verification
- Development Single-Board Computers such as RPi
At Very we have two types of lead positions; a specialist and generalist. Both positions go beyond the mastery of the core Data Science competencies to include a leadership position. The specialist lead focuses in great depth in one or more areas of Data Science and spreads that mastery across Very. The generalist lead takes a more multi-disciplinary approach and leads multi-disciplinary projects from a technical perspective.
Responsibilities
-- Work with stakeholders (clients, sales, engineers & designers) to define Statements Of Work (SOW)
-- Communicate how data science can deliver value to the client
-- Estimate quantity of work required to unlock this value
-- Identify related assumptions, risks and dependencies
- Take ownership of the data science components and related systems to ensure project success
-- Architect, build and deploy reliable end-to-end data and ML pipelines into production
-- Ensure the highest level of testing across the full data pipeline and operating envelope
-- Execute and document all algorithm verification testing for certification
-- Build and nurture strong relationships with clients, understand their perspective and walk them through the data science value chain
-- Facilitate complex conversations to achieve alignment to drive positive outcomes
- Continue to expand and evolve the Data Science (DS) practice at Very
-- Provide technical guidance to DS and non-DS team members
-- Pairs with mid team members to develop their skills and deliver on projects
-- Continually learn, share and refine your DS skills and knowledge
-- Establish and enact DataOps and MLOps best practices
- Take on the responsibility of Technical Lead on complex multi-disciplinary projects
- - Build reliable product roadmaps with technical implementation strategies
- - Monitor and optimize the technical implementation and coordination of the project
- - Identify and mitigate risks and seek assistance when required
Qualifications
Required
- Master’s degree in Data Science related field
- 5+ years of related experience
-- Deployed statistical, ML or other analytical models to production
-- Lead teams with hardware and software engineers
-- Performed real-time signal processing or lead teams that did so
- Strong written and spoken communication skills in English
- Proficient in Agile development
- Mastery in analytical framing
-- Breaking down solutions into “thin vertical slices” of work
-- Guiding interdisciplinary team to successfully estimate and execute these slices
- Deep understanding of all four types analytics (Descriptive, Diagnostic, Predictive & Prescriptive)
-- Translating desired client outcomes to the appropriate type
-- Understanding the data requirements and techniques to achieve each type
- Experience using a cloud computing platform like AWS, GCP, or Azure
- Expert level Python development skills related to Data Science
-- Object-Oriented Programming
-- Automated testing, code coverage, model building & evaluation
-- SciPy Stack, Scikit-learn, Tensorflow or PyTorch
-- GitHub CI/CD best practices
- Experience developing in, compiling and deploying low level software; C++, Embedded C or Rust preferred
- Proficient developing in Linux including and light administration
Nice-to-have
- 7+ years of related experience including with connected devices
- Proficient in embedded real-time signal processing
- AWS Professional level certification
- Familiarity with Elixir, Phoenix, and Nerves
- Hands on experience with Single-Board Computers such as RPi
Compensation
We believe in a fair compensation structure and use a transparent salary matrix.
Base Compensation
Between USD $175,000 and $185,000 per year, commiserate with experience.
Variable Compensation
Up to 15% in the first year
We also offer world-class perks:
- 401k Match
- Insurance (Dental, Vision and Life)
- Paid Parental Leave (95th percentile for the U.S.)
- Home Office Stipend - We can provide help to build your home office/workstation. (Limitations apply).
- $250/mo Monthly Communications Stipend (Can be used towards Cell Phone Data Plan, WiFi Plan, VOIP, VPN)
- PTO / Sick Time
- Variable Compensation based upon performance
- MacBook Pro (Provided)
Why Work for Very
You are more than your job title. At Very, we prioritize talent development and professional growth with a human-first approach that caters to the unique goals each individual brings to the team.
Our core value, Invest in Our People, looks like collaborating with a cohort of talented people on a mission to get better every single day. It feels like working for a company that invests in you. And it means finding alignment with your career goals to get you where you want to be.
How do we bring our priorities to life? Of course we offer the typical world-class perks you would expect. Additionally, as a remote-first company (since 2011), we provide stipends for home office, telephone, and internet. Professional development funds and generous parental leave are also some of the benefits you can expect.
But a healthy company culture isn't just about perks. It's about creating an environment where our employees can thrive. Our work is fueled by smart, creative people whose lives are enriched by our experiences together. We learn together, we grow together, and we play together. Despite working across more than half a dozen countries, our teams connect regularly for work and for fun - on Slack, Zoom, and during an annual retreat. We’ve been remote-first from the beginning, so we know well what it takes to maintain a strong culture. #LI-Remote
IMPORTANT:
1. We don't currently provide H1B Visa Sponsorship. Don't apply if you require this.
2. This job is remote but if you’re not located in the region or country mentioned in the post’s title, do not continue. Your application won’t be reviewed.
Interviewing for a new company is a serious time commitment for all parties involved. Please take the time to read this and thoughtfully consider if we would be a good fit for one another. No contractors or agencies. Seriously. #LI-Remote
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Data Scientist | Ntropy Network Inc |
Over the last few decades, technological innovation has relied on democratizing some of its key ingredients: knowledge (open publishing platforms), algorithms (code repositories) and computing (cloud providers). However, the last key component, data, largely remains trapped behind barriers of regulation, privacy, schema standards and competitive risk. Enabling scalable access to data will unlock enormous value for both individual developers and companies. This has only been made possible in the last few years, through advances in manifold learning algorithms and privacy-preserving computing. See our blog for more details.
One of the most valuable kinds of data today is in the financial sector. Financial data plays a key role across many industry verticals. However, it has notoriously been locked behind regulatory barriers and a lack of format standards. Our end product is an API that makes financial transactions accessible to both humans and machine-learning models, in a scalable and privacy-preserving way.
We
- come from various fields - engineering, mathematics, physics and arts.
- are allergic to over-engineering.
- are anarchists at heart and like to hack around the status quo.
- love playing board and video games.
- are radically honest and appreciate challenging one another, rather than giving out “pats on the back”. Yet, we can always rely on each other for support, feedback and results.
- are willing to learn and adapt quickly to new situations and requirements. Languages, frameworks, libraries, compilers, etc. are just tools for a job. A new problem might need a new tool. If it doesn’t exist yet, we will build it.
- have a sense of humor (well, we think we do).
As an early member of our data science team, you will help
- push the limits of what can be done with data.
- build the team and drive the direction of the company.
- shape our product and culture.
- experience the direct impact of what you build on hundreds of millions of people’s financial lives.
The following are required
- the tools: Python, Pandas / Polars, Matplotlib, sklearn, etc.
- SQL and fundamental database operations.
- recognized open-source contributions and/or top performance in data competitions (Kaggle, Numerai, etc.).
- fluency in statistics and probability.
FAQ
Where is Ntropy located?
We are fully remote, with a virtual base in New York, US.
What time-zones do you work with?
We hire anywhere in GMT-7 to GMT+1.
Do you consider part-time work?
Not at the moment. Full-time roles only.
How are you funded?
We are backed by some of the top fintech investors in the world. Have raised single-digit millions of dollars so far. Can share more details over the call.
Do you already have a product and customers?
Yes. We have been in production since 1st April 2021 and have been rapidly growing since.
Do you plan to sell customer data?
Ntropy is on a mission to enable products without data barriers. We will never sell customer data and will always put privacy and customer benefit ahead of any auxiliary financial gains.
What is the interview process like?
1. Send us problems you have solved before and how. Please include as much detail as possible: code, algorithms, derivations, proofs, etc. We will then do a video call to kick things off and go through it (45 mins).
2. We will give you a take-home project related to whatever we are currently working on (3-4 hours). Alternatively, if you have a relevant project that you worked on previously that demonstrates your skills as an engineer, you are welcome to use that instead.
3. We will then do a deep-dive through the project over a call and discuss the implementation, improvements and bottlenecks.
Above all, we respect your time and commitment and will keep you up to speed on where we are at during the whole process.
What are your hiring plans?
We aim to be 30-40 people by the end of the year. Mostly engineering roles.
What is your current stack?
back-end - Python + Rust (where performance matters)
compute - AWS, GCP
ML - PyTorch, ONNX, Triton
Work / life balance?
We are a startup which requires you to put in a lot more work and soul than a regular job. We believe, however, that nothing easy is worth doing. We will expect a lot from you, and you should expect a lot from us.
What is the compensation?
$130k (adjusted for location) • 0.09%
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Sr Data Scientist | Medical Solutions |
At Medical Solutions, we’re people who care, helping people who care. No matter how you look at it, there’s a whole lot of care going on in our world and that’s just the way we like it.
What do we do? Medical Solutions is one of the nation’s largest providers of total workforce solutions in the healthcare industry, connecting nurses and allied health clinicians with hospitals and healthcare systems across the country and around the corner. Through our family of brands, we also serve a segment of clients outside of the healthcare space. And we’re the very best at what we do.
You’ll love our culture that’s filled with heart and soul. As a company and employer, we’re sincerely and unabashedly us. We lead as humans first and believe the unique qualities of each team member make us better together. We share a purpose for helping others and the drive to make a difference. And we offer endless opportunities for personal and professional growth, throughout your career.
At Medical Solutions, you’ll find a great place to work and a career home. We’ve received Best Places to Work awards, landed top industry awards, and received accolades for the impact we’ve made in business and within our community.
But the only way to really get to know us, is to join us. We think you’ll fit right in.
Senior Data Scientist – Job Description
Our team is currently looking for a Senior Data Scientist who is passionate about creating awesome advanced analytics solutions for our customers and our teammates. You’ll be hands on with solution delivery, working with data engineering and business stakeholders. The ideal candidate will identify, design, and implement solutions that optimize business processes in a strategic and impactful way.
We value open and honest communication, and we strive to create a positive and fun team-based environment. We want teammates that challenge themselves, as well as those around them to create high quality analytical products and services. You’ll be flexible, proactive, and solution focused.
Job Responsibilities:
Learn business processes and gain deep understanding of their data requirements to design and apply advanced analytics solutions to optimize them
Design, develop, evaluate, and deploy predictive modeling, machine learning (ML), advanced analytics solutions
Expert level data visualization to summarize and present key insights to both technical and non-technical audiences including presenting predictions and other analytical outcomes
Contributes to identifying new statistical methods, technologies, and design patterns
Establishes and maintains coding and ML standards, source control, scalability, testing processes, etc.
Contributes to architectural design discussions of enterprise-grade ML platforms that meet compliance, performance/scalability, and operational requirements
Partner closely with machine learning engineers to support development, experimentation, continuous integration, continuous delivery, validation, and monitoring of AI/ML Models
Mentor less experienced data scientists
Work cross-functionally with resources such as business SMEs, analysts, data engineers, architects, DBAs, infrastructure to design and deliver advanced analytic solutions
Work with analysts to document requirements, assumptions, and methodologies including validation, testing, and implementation strategies
Tuning production models
Assists with building data science and advanced analytics roadmaps
Adhere to established coding and ML standards
Work with the defined source control and change management processes
Stay current with the approved enterprise technology and ML stack
Job Qualifications:
Master’s degree in Statistics, Data Science, or a closely related discipline in a Computer Science field (or equivalent)
Minimum 5 years of demonstrated experience with utilizing machine learning to optimize business outcomes including detailed experience with machine learning methods, design, build, testing, and implementation
Minimum 5 years of experience working with Database Management Systems, Data Lake, and cloud based ML Ecosystems such as Spark or Azure Databricks
Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics
Experience using Integrated Development Environments like Notebooks (e.g., Jupyter), and Visual Studio with SSDT, Azure Data Tools, SQL Server Management Studio
Skilled in data modeling for advanced analytics
Deep understanding of common design patterns and their uses
Skilled in creating operational production machine learning models
Proficiency with ETL and ELT design patterns and optimization as well as complex orchestration via tools like Azure Data Factory, Azure Databricks, or similar
Using work management tools such as Jira or Azure DevOps
Experienced with web services and other Application Programming Interfaces
Expert knowledge of SQL
Expert knowledge and application of modern data science languages such as Python, R, Scala, etc.
Strong interpersonal communication and presentation skills
Collaborative and team-centric
Strong desire to uphold best practices
Ability to anticipate changes and impacts
Iterative mindset focused on constant improvement
Some of the benefits we offer…
Insurance: Day 1 benefits (health, dental, vision, 401(k) + employer match after 6 months and 500 hours of employment and company-paid life insurance; short and long-term disability; supplemental life insurance for yourself, spouse & child(ren); and multiple voluntary benefits
Remote work option – we’re where you are!
Flexible PTO (PT-Oh!)
Flexible schedules
Award-winning training program
Connectivity stipend
Competitive compensation as part of our total rewards package
Opportunity for additional/bonus compensation through individual and company performance targets determined by the Company at its discretion
(8) paid Holidays
Paid parental leave
Employee Assistance Program (EAP)
Why us?
We live our Values in all we do
Commitment to diversity, equity, and inclusion
Focus on total wellbeing
Employee Experience Team that provides perks in-office and virtually
Relaxed culture and casual dress (t-shirts and flip-flops welcome!)
Learn more about Medical Solutions and what it’s like to be part of our team. Check out our Careers website, https://www.thebestjobieverhad.com.
|
Data Scientist Ii | Medical Solutions |
At Medical Solutions, we’re people who care, helping people who care. No matter how you look at it, there’s a whole lot of care going on in our world and that’s just the way we like it.
What do we do? Medical Solutions is one of the nation’s largest providers of total workforce solutions in the healthcare industry, connecting nurses and allied health clinicians with hospitals and healthcare systems across the country and around the corner. Through our family of brands, we also serve a segment of clients outside of the healthcare space. And we’re the very best at what we do.
You’ll love our culture that’s filled with heart and soul. As a company and employer, we’re sincerely and unabashedly us. We lead as humans first and believe the unique qualities of each team member make us better together. We share a purpose for helping others and the drive to make a difference. And we offer endless opportunities for personal and professional growth, throughout your career.
At Medical Solutions, you’ll find a great place to work and a career home. We’ve received Best Places to Work awards, landed top industry awards, and received accolades for the impact we’ve made in business and within our community.
But the only way to really get to know us, is to join us. We think you’ll fit right in.
Data Scientist II – Job Description
Our team is currently looking for a Data Scientist II who is passionate about creating awesome advanced analytics solutions for our customers and our teammates. You’ll be hands on with solution delivery, working with data engineering and business stakeholders. The ideal candidate will identify, design, and implement solutions that optimize business processes in a strategic and impactful way.
We value open and honest communication, and we strive to create a positive and fun team-based environment. We want teammates that challenge themselves, as well as those around them to create high quality analytical products and services. You’ll be flexible, proactive, and solution focused.
Job Responsibilities:
Learn business processes and gain deep understanding of their data requirements to design and apply advanced analytics solutions to optimize them
Design, develop, evaluate, and deploy predictive modeling, machine learning (ML), advanced analytics solutions
Expert level data visualization to summarize and present key insights to both technical and non-technical audiences including presenting predictions and other analytical outcomes
Contributes to identifying new statistical methods, technologies, and design patterns
Establishes and maintains coding and ML standards, source control, scalability, testing processes, etc.
Contributes to architectural design discussions of enterprise-grade ML platforms that meet compliance, performance/scalability, and operational requirements
Partner closely with machine learning engineers to support development, experimentation, continuous integration, continuous delivery, validation, and monitoring of AI/ML Models
Mentor less experienced data scientists
Work cross-functionally with resources such as business SMEs, analysts, data engineers, architects, DBAs, infrastructure to design and deliver advanced analytic solutions
Work with analysts to document requirements, assumptions, and methodologies including validation, testing, and implementation strategies
Tuning production models
Assists with building data science and advanced analytics roadmaps
Adhere to established coding and ML standards
Work with the defined source control and change management processes
Stay current with the approved enterprise technology and ML stack
Job Qualifications:
Master’s degree in Statistics, Data Science, or a closely related discipline in a Computer Science field (or equivalent)
Minimum 3 years of demonstrated experience with utilizing machine learning to optimize business outcomes including detailed experience with machine learning methods, design, build, testing, and implementation
Minimum 3 years of experience working with Database Management Systems, Data Lake, and cloud-based ML Ecosystems such as Spark or Azure Databricks
Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics
Experience using Integrated Development Environments like Notebooks (e.g., Jupyter), and Visual Studio with SSDT, Azure Data Tools, SQL Server Management Studio
Skilled in data modeling for advanced analytics
Deep understanding of common design patterns and their uses
Skilled in creating operational production machine learning models
Proficiency with ETL and ELT design patterns and optimization as well as complex orchestration via tools like Azure Data Factory, Azure Databricks, or similar
Using work management tools such as Jira or Azure DevOps
Experienced with web services and other Application Programming Interfaces
Expert knowledge of SQL
Expert knowledge and application of modern data science languages such as Python, R, Scala, etc.
Strong interpersonal communication and presentation skills
Collaborative and team-centric
Strong desire to uphold best practices
Ability to anticipate changes and impacts
Iterative mindset focused on constant improvement
Preferences:
Ph.D. preferred
Some of the benefits we offer…
Insurance: Day 1 benefits (health, dental, vision, 401(k) + employer match after 6 months and 500 hours of employment and company-paid life insurance; short and long-term disability; supplemental life insurance for yourself, spouse & child(ren); and multiple voluntary benefits
Flexible PTO (PT-Oh!)
Flexible schedules
Award-winning training program
Connectivity stipend
Competitive compensation as part of our total rewards package
Opportunity for additional/bonus compensation through individual and company performance targets determined by the Company at its discretion
(8) paid Holidays
Paid parental leave
Employee Assistance Program (EAP)
Why us?
We live our Values in all we do
Commitment to diversity, equity, and inclusion
Focus on total wellbeing
Employee Experience Team that provides perks in-office and virtually
Relaxed culture and casual dress (t-shirts and flip-flops welcome!)
Learn more about Medical Solutions and what it’s like to be part of our team. Check out our Careers website, https://www.thebestjobieverhad.com.
|
Director Data Science | Medical Solutions |
At Medical Solutions, we’re people who care, helping people who care. No matter how you look at it, there’s a whole lot of care going on in our world and that’s just the way we like it.
What do we do? Medical Solutions is one of the nation’s largest providers of total workforce solutions in the healthcare industry, connecting nurses and allied health clinicians with hospitals and healthcare systems across the country and around the corner. Through our family of brands, we also serve a segment of clients outside of the healthcare space. And we’re the very best at what we do.
You’ll love our culture that’s filled with heart and soul. As a company and employer, we’re sincerely and unabashedly us. We lead as humans first and believe the unique qualities of each team member make us better together. We share a purpose for helping others and the drive to make a difference. And we offer endless opportunities for personal and professional growth, throughout your career.
At Medical Solutions, you’ll find a great place to work and a career home. We’ve received Best Places to Work awards, landed top industry awards, and received accolades for the impact we’ve made in business and within our community.
But the only way to really get to know us, is to join us. We think you’ll fit right in.
Director, Data Science – Job Description
Our team is looking to bring on a Director of Data Science who is passionate about creating awesome AI/ML solutions for our customers and our teammates. You’ll be responsible for guiding the data science team in developing a strong strategy, best practices, spearheading advanced analytic projects, and managing the team. You’ll be a strategic partner to management and teams across the enterprise to champion innovative, data-driven solutions to optimize healthcare staffing services. The ideal candidate will practice servant leadership, encouraging the team to be flexible, proactive, and solution focused.
We value open and honest communication, and we strive to create a positive and fun team-based environment. We want teammates that challenge themselves, as well as those around them to create high quality analytical products and services.
Job Responsibilities:
Strategy & Direction
Develop and champion Medical Solutions’ data science initiatives and strategy, with a strong vision for revolutionizing the healthcare staffing industry
Oversees the building of data science and advanced analytics roadmaps and manage strategic portfolio
Partner with business leaders and teams to gain deep understanding of their data requirements to oversees applying advanced analytics solutions to optimize them
Leadership and Team Management
Build a high-performing team of Data Scientists and Machine Learning Engineers, capable of designing, developing, evaluating, and deploying predictive modeling, machine learning (ML), advanced analytics solutions
Act as a servant leader who guides the team to reach their goals
Oversees project teams of data scientists and supporting roles (e.g. data engineers) to deliver end-to-end innovative, high-quality advanced analytic solutions with measurable business value
Coach, mentor, and guide data scientists and machine learning engineers to advance their career development in both technical and non-technical areas
Manage Data Science team headcount and operational budget
Solution Delivery
Build relationships with partner teams and executives
Collaborate with stakeholders/SMEs to ensure business expertise is available throughout the project lifecycle
Work cross-functionally with resources such as analysts, data engineers, architects, DBAs, and cloud infrastructure to design and deliver advanced analytic solutions
Employ expert-level data visualization to summarize and present key insights to both technical and non-technical audiences including presenting predictions and other analytical outcomes
Identify new statistical methods, technologies, and design patterns for the enterprise data science/ML capabilities
Technical Direction
Oversees and contributes to architectural design discussions
Guide teams in ML-Ops implementations, standards and best practice definition and enforcement, as well as testing processes for the team
Prioritize data pipeline and model testing within the team to ensure a high level of code coverage and quality
Stay current with the approved enterprise technology
Job Qualifications:
Master’s degree in Statistics, Data Science, or a closely related discipline in a Computer Science field (or equivalent)
Minimum 5 years of demonstrated experience with utilizing machine learning and analytics to optimize business outcomes including detailed experience with machine learning methods, design, build, testing, and implementation
Minimum 5 years of experience working with Database Management Systems, Data Lake, and cloud-based ML Ecosystems such as Spark or Azure Databricks
Minimum 6 years in a people management capacity in the data science and analytics space
Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics
Experience using Integrated Development Environments like Notebooks (e.g. Jupyter), and Visual Studio with SSDT, Azure Data Tools, SQL Server Management Studio
Skilled in data modeling for advanced analytics
Deep understanding of common design patterns and their uses
Skilled using DataOps and ML-Ops processes and tools and creating operational, production machine learning models
Proficiency with ETL and ELT design patterns and optimization as well as complex orchestration via tools like Azure Data Factory, Azure Databricks, or similar
Using work management tools such as Jira or Azure DevOps
Experienced with web services and other Application Programming Interfaces
Expert knowledge of SQL
Expert knowledge and application of modern data science languages such as Python, R, Scala, etc.
Strong interpersonal communication and presentation skills
Collaborative and team-centric servant leadership
Provides feedback in a constructive way to team members
Expert problem solver
Ability to anticipate changes and impacts
Iterative mindset focused on constant improvement
Ability to capacity plan at a team level
Preferences:
Staffing Industry experience
Travel Nursing experience
Medical field or terminology background
Some of the benefits we offer…
Insurance: Day 1 benefits (health, dental, vision, 401(k) + employer match after 6 months and 500 hours of employment) and company-paid life insurance; short and long-term disability; supplemental life insurance for yourself, spouse & child(ren); and multiple voluntary benefits
Remote work option – we’re where you are!
Flexible PTO (PT-Oh!)
Flexible schedules
Award-winning training program
Connectivity stipend
Competitive compensation as part of our total rewards package
Opportunity for additional/bonus compensation through individual and company performance targets determined by the Company at its discretion
(8) paid Holidays
Paid parental leave
Employee Assistance Program (EAP)
Why us?
We live our Values in all we do
Commitment to diversity, equity, and inclusion
Focus on total wellbeing
Employee Experience Team that provides perks in-office and virtually
Relaxed culture and casual dress (t-shirts and flip-flops welcome!)
Learn more about Medical Solutions and what it’s like to be part of our team. Check out our Careers website, https://www.thebestjobieverhad.com.
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Data Science Intern Machine Learning Phd | Discord |
What you'll be doing
Apply state-of-the-art machine learning techniques to provide a deeper understanding of product, users, and communities
Deep dive into the data to understand and apply patterns, while maintaining a sense of the big picture.
Apply rigorous mathematical/algorithmic foundations and creative solutions to solve challenging problems
Collaborate with other data scientists, product, engineering, and business teams to make sure the developed machine learning solutions/models achieve high leverage and drive impact.
You’ll Thrive In This Role If You Are/Have (Role Requirements)...
Currently pursuing a PhD in Computer Science or related technical field
Experience with at least one of the following ML areas:
Segmentation and Clustering
Natural Language Understanding
Personalization & Recommender Systems
Causal Inference
Deep Learning Model Optimizations
Computer Vision, Graphics, image and video processing
Search & Conversational AI
Experience writing or shipping ML models as part of coursework, personal projects, internships, competitions or research
Proficient programming in Python.
Experience working with machine learning frameworks such as TensorFlow, PyTorch, Spark ML, scikit-learn, or related frameworks
Curious, passion for learning, self-motivated, and excited about solving open-ended challenges.
Excellent communication skills, with the ability to deliver complicated findings and explain technical approaches to a variety of audiences
Salary of $89/hour*
*Note: Disclosure as required by NYC Pay Transparency Law and CO Disclosure as required by sb19-085(8-5-20)
*Benefits listed below may differ from those available depending on terms of employment*
Benefits and Perks
Comprehensive medical insurance including Health, Dental and Vision (plus up to $20,000 for gender affirmation procedures)
Mental health resources and quarterly wellness stipends
16+ paid holidays, 4 weeks of PTO + use-what-you-need sick days
Paid parental leave (plus fertility, adoption and other family planning benefits)
Flexible long-term work options (remote and hybrid)
Volunteer time off
A diverse slate of Employee Resource Groups
Plus commuter contributions and other perks for office-based employees
About Us
Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.
We’re working toward an inclusive world where no one feels like an outsider, where genuine human connection is a click, text chat, or voice call away. A place where everyone can find belonging. Challenging? Heck yes. Rewarding? Double heck yes. It’s a mission that gives us the chance to positively impact millions of people all over the world. So if this strikes a chord with you, come build belonging with us!
Apply Now
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Data Scientist Machine Learning | Discord |
What you'll be doing
Apply state-of-the-art machine learning techniques to provide a deeper understanding of users, communities, and our product
Build predictive models on massive data sets to support high impact company projects
Brainstorm, communicate, and partner directly with product, engineering, and business teams to improve decision-making and drive impact
Collaborate with data and engineering teams to design scalable primitives and inform our technical infrastructure
What you should have
Expertise in at least 2 of the following domains: linear models, neural networks, tree-based models, and unsupervised learning
2+ years of industry experience in developing and productionizing applied machine learning for internal use cases (i.e. low, batch models)
Masters, PhD, or equivalent experience in a quantitative area such as Computer Science, Applied Stats, Math, Astrophysics
Proficiency with Python
Knowledge of SQL
Experience working with machine learning frameworks such as TensorFlow, PyTorch, Spark ML, scikit-learn, or related frameworks
Curious, passion for learning and excited about solving open-ended challenges.
The ability to explain complex findings and technical approaches to a variety of audiences
Desire to work with amazing, passionate all kinds of partners who care about solving challenging problems to improve Discord for its users
Last but not least - a collaborative attitude and natural curiosity!
Bonus Points
Experience visualizing and auditing model outputs to ensure models are performing as intended
New York City residents only: Minimum salary of $155,000 year + equity and benefits*Note: Disclosure as needed by NYC Pay Transparency LawColorado residents only: Minimum salary of $139,500 year + equity and benefits*Note: Disclosure as needed by sb19-085(8-5-20).
#buildbelonging #LI-JF1
Benefits and Perks
Comprehensive medical insurance including Health, Dental and Vision (plus up to $20,000 for gender affirmation procedures)
Mental health resources and quarterly wellness stipends
16+ paid holidays, 4 weeks of PTO + use-what-you-need sick days
Paid parental leave (plus fertility, adoption and other family planning benefits)
Flexible long-term work options (remote and hybrid)
Volunteer time off
A diverse slate of Employee Resource Groups
Plus commuter contributions and other perks for office-based employees
About Us
Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.
We’re working toward an inclusive world where no one feels like an outsider, where genuine human connection is a click, text chat, or voice call away. A place where everyone can find belonging. Challenging? Heck yes. Rewarding? Double heck yes. It’s a mission that gives us the chance to positively impact millions of people all over the world. So if this strikes a chord with you, come build belonging with us!
Apply Now
|
Data Scientist Personalization | Pinterest |
About Pinterest:
Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.
Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.
As a Data Scientist you will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world. In this role, you will work closely with the world class personalization and user understanding teams, who are building signals, fundamental machine learning innovations, and generating leaps that make Pinterest the best place for you to discover and realize your inspiration.
What you’ll do:
Collaborate with Product and Engineering to shape the future of how personalization on Pinterest looks and feels with data driven decision making Define success for new features, projects, and initiatives in a holistic manner that balances trade-offs between multiple other product areas, and generate top line impact Design and analyze experiments that causally establish core learnings around progress towards goals and Pinner experiences Perform deep dive analysis to understand and optimize the key levers of personalization product team Work cross-functionally to build and communicate key insights, identify product opportunities and offer recommendations to leadership Work with product managers and engineers to design and operationalize data products that enable them self serve insights
What we’re looking for:
4+ years experience doing quantitative analysis or statistical modeling in a fast-paced, data-driven environment; strong experimentation expertise Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL and Python or R A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output Knowledgeable about best practices around data manipulation, building data pipelines, feature engineering, and creating dashboards Ability to lead end to end initiatives and communicate findings with leadership and product teams to quickly turn insights into actions Excellent communication skills and ability to explain learnings to both technical and non-technical partners Experience working with recommendation systems, or ML teams is preferred
This position is not eligible for relocation assistance.
#LI-NM4
#LI-REMOTE
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
$145,700—$218,600 USD
Our Commitment to Diversity:
At Pinterest, our mission is to bring everyone the inspiration to create a life they love—and that includes our employees. We’re taking on the most exciting challenges of our working lives, and we succeed with a team that represents an inclusive and diverse set of identities and backgrounds.
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Senior Data Scientist Martech | Monzo |
📍Location | UK remote
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 Senior Product Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement in 2023 and help us to build a bank that customers truly love.
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.
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.
What you’ll be working on
You'll work with our wider MarTech team, which provides our communication platform, AdTech integrations, as well as our web infrastructure. In close collaboration with our engineering, product and marketing colleagues, you will build data products and self-service tools that help our Marketing teams to supercharge user growth and deepen the user engagement with our product.
Your day-to-day
You'll be a member of our central data discipline and fully embedded within the MarTech team where you will
Apply your expertise in data science, data modelling and software engineering best practices, causal inference, quantitative methods, and data visualisation to build self-service data tools and products empowering stakeholders to gain insights and optimise budget decisions.
Leverage our cloud-native data infrastructure (e.g., BigQuery, Looker) and your knowledge about experimentation, performance marketing, AdTech, and CRM to improve our platform capabilities for the effective delivery of campaigns across a growing number of channels.
Partner with our advertising partners and their analytics measurement teams to ensure best practice integration and utilisation of partner capabilities.
Work closely with marketers in our Marketing Tech team to define requirements and guide the implementation of impactful self-service and automation tools.
Stay up to date with the latest marketing measurement strategies in industry
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 a 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, 2021 Diversity and Inclusion Report and 2021 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
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Lead Data Scientist Deep Learning Peacock Video Streaming | Nbcuniversal |
Company Description
NBCUniversal owns and operates over 20 different businesses across 30 countries including a valuable portfolio of news and entertainment television networks, a premier motion picture company, significant television production operations, a leading television stations group, world-renowned theme parks and a premium ad-supported streaming service. 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. We strive to foster a diverse and inclusive culture where our employees feel supported, embraced and heard. We believe that our workforce should represent the communities we live in, so that together, we can continue to create and deliver content that reflects the current and ever-changing face of the world. Click here to learn more about Comcast NBCUniversal’s commitment and how we are making an impact.
Job Description
Welcome to Peacock, the dynamic new streaming service from NBCUniversal. Here you’ll find more than a job. You’ll find a fast-paced, high-performance team of incredible colleagues that want to be at the epicenter of technology, sports, news, tv, movies and more. We work hard to connect people to what they love, each other and the world around them by creating shared experiences through culture-defining entertainment.
As a company, we embrace the power of difference. Our team is committed to creating an organization that champions diversity and inclusivity for all by curating content and a workforce that represents the world around us. We continue to challenge ourselves and the industry by being customer-centric, data-driven creatures of innovation. At Peacock, we are determined to forge the next frontier of streaming through creativity, teamwork, and talent.
Position Overview
As part of the Peacock Data Science team, the Lead, Data Scientist will be responsible for creating recommendation and personalization solutions for one or more verticals of Peacock Video Streaming Service.
Responsibilities include, but are not limited to
Work with a group of data scientists in the development of recommendation and personalization models using statistical, machine learning and data mining methodologies.Drive the collection and manipulation of new data and the refinement of existing data sources.Translate complex problems and solutions to all levels of the organization.Collaborate with software and data architects in building real-time and automated batch implementations of the data science solutions and integrating them into the streaming service architecture.Drive innovation of the statistical and machine learning methodologies and tools used by the team.
Salary Range: $145,000 - $175,000
Qualifications
Advanced (Master or PhD) degree with specialization in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research or another quantitative field or equivalent.4+ years of combined experience in advanced analytics in industry or research.Experience with commercial recommender systems or a lead role in an advanced research recommender system project.Working experience with deep learning, particularly in the areas different form the computer vision.Strong experience with deep learning using TensorFlow.Experience implementing scalable, distributed, and highly available systems using Google Could Platform.Experience with Google AI Platform/Vertex AI, Kubeflow and Airflow.Proficient in Python. Java or Scala is a plus.Experience in data processing using SQL and PySpark.
Desired Characteristics
Experience in media analytics and application of data science to the content streaming and TV industry.Good understanding of reinforcement learning algorithms.Experience with multi-billion record datasets and leading projects that span the disciplines of data science and data engineeringKnowledge of enterprise-level digital analytics platforms (e.g., Adobe Analytics, Google Analytics, etc.)Experience with large-scale video assetsTeam oriented and collaborative approach with a demonstrated aptitude and willingness to learn new methods and tools
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.
Remote Exceptions: This position can be designated as fully remote or hybrid, meaning that the position is expected to contribute from either a non-NBCUniversal worksite, or most commonly an employee’s residence.
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Data Scientist | Goodway Group |
What You Will Do
A Data Scientist at Goodway Group is at the center of the drive for a data-informed culture. We create models using data from the billions of ad impressions served daily across hundreds of advertisers. We productionalize models with Python, Airflow, and Kubernetes. We test models statistically rigorous AB-tests that impact thousands of advertising campaigns. We work closely with product managers, engineers, and analysts to elevate the use of data at Goodway Group.
Design, build and deploy models that optimize the performance of advertising campaigns.
Work with stakeholders from across the business to gather, understand, and develop actionable use cases for data science products.
Combine data expertise and domain knowledge to elevate and maximize the use of data at the organization.
Perform analysis that generate actionable insights and construct data narratives that convey complex ideas to non-technical stakeholders.
Be constantly learning the latest technologies and trends.
Provide expertise and leadership on making technical decisions
Who You Are
The ideal candidate has multiple years of hands-on experience with modeling and statistical analysis, as well as exposure to the digital marketing and advertising space. You work in Python, know SQL, and have a familiarity with engineering tools like Airflow and AWS. Most importantly you’re curious and have a desire to drive impact with your work.
Preferred qualifications:
Degree in computer science, math, statistics or another quantitative field
Adept with Python and exposure to modern software development practices like version control with GitHub
Knowledge of statistics and modeling best practices
Experience with digital advertising and marketing
Excellent at communicating complex ideas and can convey ideas accurately and concisely to both technical and non-technical stakeholders
Curious and eager to learn new paradigms, tools, and processes; can do so quickly and thrive in a fast-paced, rapidly changing, work environment
Independent and able to responsibly work from home
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Senior Data Scientist | Xero |
Who We Are
Ro is a direct-to-patient healthcare company providing high-quality, affordable healthcare without the need for insurance. Ro is the only company to seamlessly connect telehealth, in-home care, diagnostics, labs, and pharmacy services nationwide. This is enabled by Ro's vertically integrated platform that powers a personalized, end-to-end healthcare experience from diagnosis, to delivery of medication, to ongoing care. Since 2017, Ro has facilitated more than eight million digital healthcare visits in nearly every county in the United States, including 98% of primary care deserts. Visit Ro.co for more information.
Ro was named #2 in Wellness on Fast Company's 2019 list of the World's Most Innovative Companies, recognized as a CNBC Disruptor 50 in 2022, listed by Inc. Magazine as a Best Place to Work in 2022 for our third consecutive year, and named one of FORTUNE's 2022 Best Medium Workplaces.
The Role
Ro is looking for a versatile Senior Data Scientist with a strong machine learning background to take on a central and multi-faceted role in our Data organization. You will report to the Director of Data Science and Machine Learning and serve a key role at Ro. You will build the systems that define and support experiences of Ro’s patients, providers, and internal teams, from assessing opportunities to developing and deploying machine learning models to working on research projects you can expect to have a deep impact on Ro and our patients.
What You'll Do:
Architect, build, and deploy robust ML models across a variety of domains (e.g. supervised learning, NLP, causal inference, etc) to explain or predict patient behavior and business outcomes
Ideate, build, and iterate on machine learning models and pipelines in collaboration with stakeholders including business and clinical leaders, product managers, researchers, analysts, and engineers
Present ideas and results, including translating business objectives to DS/ML problems and vice versa
Independently utilize large data sets to uncover, size, and advocate for DS/ML opportunities that improve the experience for patients, providers, or internal teams
Contribute to solving opaque, unstructured problems by developing core DS/ML frameworks that shape the company's approach to data
Contribute to Ro’s IP portfolio by designing and building novel ML solutions that result in peer-reviewed publications or patents
Make Ro an even better place to work by increasing data literacy and expertise through mentorship, hands-on training, development of DS/ML best practices, and documentation
What You'll Bring:
4+ years of hands-on professional experience building ML models for large-scale applications
MS/PhD in a quantitative or scientific discipline or comparable professional experience
Track record of successfully owning projects from conception to completion, including operationalizing problems, conducting independent research, evaluating experiments, deploying ML models, and inventing novel Machine Learning techniques to solve complex problems
Interest in being an early DS/ML team member, including the ability to work across a range of DS/ML methodologies to build a portfolio of high value work, and a preference to work iteratively with your teammates and stakeholders rather than working alone for long periods of time and presenting results intermittently
A bias for action, and sense of comfort working in a highly collaborative, nuanced environment where the problems you’re tackling span a range of domains and stakeholders, or lack established solutions
A deep understanding of what makes for well engineered software systems, and experience building production grade ML models
A love for learning new skills or domains and sharing your knowledge freely, proactively, and effectively with others who are interested
An attitude of generosity and fun - you can take your work seriously without taking yourself too seriously
Bonus Points:
Experience working with healthcare data, personal interest in improving the state of healthcare
Peer reviewed publications in relevant outlets (e.g. IEEE, JMLR, ACL, JAMIA, etc), ML or healthcare related patents or meaningful open source contributions
Experience using Domino Data Lab for deploying ML models and experimentation
Tools We Use:
Python, including common ML/DL packages like NumPy, Tensorflow, Scikit-Learn, SciPy
Snowflake + DBT
Git + GitHub
Domino Data Lab
We've Got You Covered:
Full medical, dental, and vision insurance + OneMedical membership
Healthcare and Dependent Care FSA
401(k) with company match
Flexible PTO
Wellbeing + Learning & Growth reimbursements
Paid parental leave + Fertility benefits
Pet insurance
Student loan refinancing
Virtual resources for mindfulness, counseling, fitness, and physical therapy
The salary range for this position is $182,200 - $209,300. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in New York City. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.
Ro recognizes the power of in-person collaboration, while supporting the flexibility to work anywhere in the United States. For our Ro’ers in the tri-state (NY) area, you will join us at HQ on Tuesdays and Thursdays. For those outside of the tri-state area, you will be able to join in-person collaborations throughout the year (i.e., during team on-sites).
At Ro, we believe that our diverse perspectives are our biggest strengths — and that embracing them will create real change in healthcare. As an equal opportunity employer, we are committed to building an inclusive environment where you can be you.
See our California Privacy Policy here.
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Lead Data Science Analyst | Discover |
About This Role
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 solving business problem by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. Creates reports and dashboards to closely monitor performance metrics and provide insights.
Responsibilities
· Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems. 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. Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.
· Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implements tests to drive strategy enhancement and optimization.
· Manages multiple priorities, communicate business performance and project progress to management & business partners.
· Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Facilitates implementation of work product and ensure accuracy.
· 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, or Statistics
· 4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related.
Preferred Qualifications
If we had our say, we’d also look for:
· Master's Degree in Analytics, Engineering, Mathematics or Statistics
· 2+ years of experience in 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 Data Scientist | Sword |
Who we are:
Each year, 2 billion people across the world are limited by physical pain. By helping people live without pain, they are free to do the things they love most with the people they love—and never miss a moment. This is what we do. We create and design new technologies to solve one of the biggest problems in healthcare: taking care of our Physical Health. Sword Health is the world’s fastest growing digital musculoskeletal (MSK) care provider on a bold mission to free two billion people from acute, chronic, and post-surgical physical pain . Our customers include some of the most progressive Fortune 100 and 500 companies, as well as over 160+ other established businesses across the world.
The Sword program allows members to complete a personalized physical therapy program from the comfort of home, with continued support and supervision from one of our talented SWORD specialists. Sword’s personalized care is more effective than traditional standards of care, and has proven to deliver best-in-class clinical results. Since breaking into the market less than two years ago, Sword has worked with insurers, health systems, and employers in the U.S., Canada, Europe, and Australia to make high quality musculoskeletal care accessible to everyone.
This is an opportunity to join Sword during a time of hyper growth and expansion. After our recent $2bn valuation, we’re excited to continue accelerating our impact by scaling with high caliber people with passion, commitment and energy to create and deliver technologies, services and products that drive human progress forward.
We welcome you to join our mission, to make a difference on a grand scale and play a pivotal role with a global team at Sword– working alongside great people pioneering novel products and cutting edge technologies.
Our data science team is responsible for instilling and supporting a data-first culture across multiple verticals at Sword by helping other teams leverage their data in the most effective way. The team uses statistics and machine learning to derive insights of an ever-evolving product with the goal of constantly improving patient care.
What you'll be doing:
Work alongside multiple verticals in the company to identify data-related opportunities;
Provide insights about behaviours, trends, and causal relationships to influence product development as well as the overall company’s strategy;
Present findings in both written and oral form to relevant stakeholders;
Participate in the design, execution, and analysis of experiments of product rolloutsInstill a rigorous statistical and testing culture across Sword.
What you need to have:
4+ years of experience in Data Science roles;
Experience using descriptive and inferential statistics in the context of a product;
Experience using machine learning to derive insights and find patterns in the data;
Working knowledge of SQL as well as statistical packages (such as those in R or Python);
Experience leading complex and ambiguous initiatives with full autonomy;
Ability to learn quickly and dive deep into new subjects;
Ability to interface and communicate clearly with non-technical stakeholders.
Bonus Points:
Experience with irregular time-series/event data;
Genuine curiosity that drives you to experiment and try new things
To ensure you feel good solving a big Human problem, we offer:
A stimulating, fast-paced environment with lots of room for creativity;
A bright future at a promising high-tech startup company;
Career development and growth, with a competitive salary;
The opportunity to work with a talented team and to add real value to an innovative solution with the potential to change the future of healthcare;
A stimulating environment with room for creativity;
A flexible environment where you can control your hours (remotely) with unlimited vacation;
Access to our health and well-being program (digital therapist sessions);
Remote or Hybrid work policy.
We are proud to be an Equal Employment Opportunity employer. We champion diversity and are committed to building a team that represents a variety of backgrounds, perspectives and skills. At SWORD, we believe that diversity and inclusion among our applicants and teammates is critical to our success as a global company. The more inclusive we are the better our work will be.
Sword Benefits - Portugal
Health, dental and vision Insurance
Meal Allowance
Equity Shares
Sword Perks - Portugal
Phone Stipend
Flexible working hours
Work from home
Unlimited Vacation
Free Digital Therapist for your family
Snacks and Beverages
English Class
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Data Scientist | Sword |
Who we are:
Each year, 2 billion people across the world are limited by physical pain. By helping people live without pain, they are free to do the things they love most with the people they love—and never miss a moment. This is what we do. We create and design new technologies to solve one of the biggest problems in healthcare: taking care of our Physical Health. Sword Health is the world’s fastest growing digital musculoskeletal (MSK) care provider on a bold mission to free two billion people from acute, chronic, and post-surgical physical pain . Our customers include some of the most progressive Fortune 100 and 500 companies, as well as over 160+ other established businesses across the world.
The Sword program allows members to complete a personalized physical therapy program from the comfort of home, with continued support and supervision from one of our talented SWORD specialists. Sword’s personalized care is more effective than traditional standards of care, and has proven to deliver best-in-class clinical results. Since breaking into the market less than two years ago, Sword has worked with insurers, health systems, and employers in the U.S., Canada, Europe, and Australia to make high quality musculoskeletal care accessible to everyone.
This is an opportunity to join Sword during a time of hyper growth and expansion. After our recent $2bn valuation, we’re excited to continue accelerating our impact by scaling with high caliber people with passion, commitment and energy to create and deliver technologies, services and products that drive human progress forward.
We welcome you to join our mission, to make a difference on a grand scale and play a pivotal role with a global team at Sword– working alongside great people pioneering novel products and cutting edge technologies.
Our data science team is responsible for instilling and supporting a data-first culture across multiple verticals at Sword by helping other teams leverage their data in the most effective way. The team uses statistics and machine learning to derive insights of an ever-evolving product with the goal of constantly improving patient care.
What you'll be doing:
Work alongside multiple verticals in the company to identify data-related opportunities;
Provide insights about behaviours, trends and causal relationships to influence product development as well as the overall company’s strategy;
Present findings in both written and oral form to relevant stakeholders;
Participate in the design, execution, and analysis of experiments of product rollouts;
Instill a rigorous statistical and testing culture across Sword.
What you need to have:
2+ years of experience in Data Science roles;
Experience using descriptive and inferential statistics in the context of a product;
Experience using machine learning to derive insights and find patterns in the data;
Working knowledge of SQL as well as statistical packages (such as those in R or Python);
Capable of taking projects from plan to completion with supervision and guidance;
Ability to learn quickly and dive deep into new subjects;
Ability to prioritise tasks and not get caught up on unimportant details.
Bonus Points:
Experience with irregular time-series/event data;
Genuine curiosity that drives you to experiment and try new things.
To ensure you feel good solving a big Human problem, we offer:
A stimulating, fast-paced environment with lots of room for creativity;
A bright future at a promising high-tech startup company;
Career development and growth, with a competitive salary;
The opportunity to work with a talented team and to add real value to an innovative solution with the potential to change the future of healthcare;
A stimulating environment with room for creativity;
A flexible environment where you can control your hours (remotely) with unlimited vacation;
Access to our health and well-being program (digital therapist sessions);
Remote or Hybrid work policy.
We are proud to be an Equal Employment Opportunity employer. We champion diversity and are committed to building a team that represents a variety of backgrounds, perspectives and skills. At SWORD, we believe that diversity and inclusion among our applicants and teammates is critical to our success as a global company. The more inclusive we are the better our work will be.
Sword Benefits - Portugal
Health, dental and vision Insurance
Meal Allowance
Equity Shares
Sword Perks - Portugal
Phone Stipend
Flexible working hours
Work from home
Unlimited Vacation
Free Digital Therapist for your family
Snacks and Beverages
English Class
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Data Science Manager | Propel |
At Propel, our mission is to build modern, respectful, and effective financial tools for Americans with limited income. Over 5 million people use our app, Providers, to manage the benefits they use to keep their family well-fed and healthy, stay up to date on critical government programs, save money, and earn income. Read more about the impact of Providers here. Now we’ve expanded further into the financial services space, offering the best banking option for low-income Americans.
We’re looking for a Data Science Manager who is excited about building and managing a data science and analytics function that derives meaningful insights from our data, improves decision making, identifies opportunities, and builds a more successful business that optimizes how we serve our users! In this role, you’ll define what the right data function looks like for Propel at each stage of our growth while creating a culture of strong strategic data partnership with product, engineering, and other teams. You’ll manage three reports to start and continue to grow the team as necessary to execute against analytics and data science priorities.
Propel is a for-profit software company that holds its social mission at its core. Our investors include Andreessen Horowitz, Nyca Partners, Kleiner Perkins, Flourish Ventures, Kevin Durant, Serena Williams, and Nas.
We’re strongly committed to hiring a diverse and multicultural team. We encourage applications from traditionally under-represented backgrounds, including those with direct experience with the Supplemental Nutrition Assistance Program.
We offer:
Immediate opportunity to make an impact on our team, product, and business
An opportunity to work on a product used by millions of people
A get-stuff-done, fun, and caring culture
Meaningful work and a strong shared sense of mission
A remote-first work environment with a dog-friendly office in Downtown Brooklyn and satellite offices in San Francisco, Los Angeles, and Salt Lake City
Propel believes that everyone should be compensated fairly and equitably. We set our salary ranges using compensation data from hundreds of NYC based startups at our stage. Additionally, pay is not determined based on location. The salary range for this position is $170-200K, depending on experience. Equity and excellent benefits come with this position as well!
What you’ll do:
Lead, coach and manage our Data team on the use of our data, creating leverage with a lean analytics team
Ensure the Data team is proactive in asking and researching their own questions in line with business goals
Establish goals and metrics to measure individual and team performance
Build a strongly metrics- and data-driven culture where everyone on the team relies on quantitative analyses when identifying problems, discussing opportunities, or creating solutions
Create self-service mechanisms for data analysis while keeping the reliability of data analysis high
Partner with engineering to triage and fix data infrastructure priorities, architecture, and issues
Manage high value analytics projects as needed, generating insights that inform our product strategy and roadmap
What you have:
8+ years of experience in a customer-facing data analyst or scientist role
Successfully delivered end-to-end data research projects for a SaaS product, working through conflicting viewpoints, model intractability, and data limitations
Strong programming skills in Python, R, SQL or Scala
Experience hiring and leading experienced data scientists as well as a successful record of developing junior members to a successful career track
Achievements in developing and leading a long-term research vision and portfolio of research initiatives
Ability to communicate analytical results to senior leaders, and peers
Background serving our customer segment and/or deep interest in learning about their problems and needs
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Senior Data Scientist | 605 |
605 is an independent TV measurement and analytics firm that offers advertising and content measurement, full-funnel attribution, media planning, optimization and analytical solutions. Comprised of engineers, analysts, data scientists, media experts and marketing strategists, 605 forges new paths using groundbreaking innovations that set industry standards for audience targeting and measurement.Senior Data Scientists at 605 are highly skilled data scientists, statisticians, and/or other skilled researchers (PhD, ABD, Masters with experience, or comparable). The Senior Data Scientist must be able to analyze big data, apply machine learning and statistical models, and communicate findings clearly to all levels of an organization.Responsibilities include: Coding original R/Python/Spark scripts as well as optimizing current scripts daily Implementing machine learning and statistical models to solve complex problems Flexibly working on a variety of different externally facing client projects over the course of a week Collaborating with fellow data scientists, data engineers and account managers to identify and implement efficiencies and automate solutions Mentoring junior data scientists and analysts Working with sales leads to build new business opportunities 7+ years work experience in comparable field and a Master's degree (or equivalent work experience) 5+ years coding experience with 2+ years specifically in R or Python 3+ years implementing machine learning and statistical methods to solve complex problems Strong machine learning and/or statistical skills and intuition. Expertise in at least one of: causality, model evaluation, or forecasting Experience adapting, implementing, and scaling various solutions utilizing machine learning techniques Experience manipulating multiple big data sets Adaptable enough to use existing tools, models, and methods to new needs Strict integrity working with confidential, private, and high-value client information Ability to balance workload across a variety of different projects over the course of a week Excellent attention to detail Excellent oral and written communication skills to interpret and translate results to a variety of technical and non-technical audiences through reports; white papers; and internal, external, and client-facing presentations Preferred Skills Previous experience with Spark Experience working in data science in the television or digital marketing industry Experience designing and analyzing experiments Experience analyzing high-dimensional time series or event stream data Comprehensive medical, dental and vision insurance for employees and their families Company-paid life insurance, short and long term disability 401k with match Pre-tax flexible compensation plan for medical, transit, parking or dependent care expenses Generous vacation, personal and sick days 100% paid parental and family caregiving leave Educational reimbursement program A kitchen stocked with sodas, snacks, yogurt and other goodies A tight-knit startup community who likes to eat! We celebrate everyone’s birthdays, have frequent team lunches, and do events in and out of the office 605 is an active participant in conferences Candidates who meet the qualifications of this role can expect to earn an annual salary of $125,000 - $150,000.
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Senior Data Scientist | Borrowell |
About Borrowell:Borrowell is a Canadian company whose mission is to make financial prosperity possible for everyone. The first in Canada to offer free credit scores, Borrowell provides educational resources, monitoring, innovative digital tools, and personalized product recommendations to help people feel in control and optimistic about their financial future. Our data shows that Borrowell members reported up to a 100-point increase in their credit score after one year of using select Borrowell products.With more than 2.5 million members, Borrowell is one of the largest fintech companies in Canada. We’re proud to have been named as one of the Best Workplaces in Canada every year since 2019, Globe and Mail’s Top Growing Companies (2021), LinkedIn’s Top 15 Startups in Canada (2021), and CB Insights’ Top 250 Fintechs (2021).To support us on our mission, we’re building an exceptional team of high-performing yet humble individuals who believe Canadians deserve more choice when it comes to financial services.Put simply, we put people first. We place a high value on building a diverse and inclusive workplace and are proud to have a gender-balanced team. We know that diverse teams perform better; half of our team identify as women or non-binary.We’re always on the lookout for passionate and driven people. If you think you’d be a great fit at Borrowell, read on to learn more about us and how our business works!About the Role:As a Senior Data Scientist, you will play a key role in formulating the most suitable Machine Learning (ML) solutions through identifying new opportunities, then owning the end-to-end development of ML models (ideation, development, validation, and model monitoring). Alongside our robust Data Analytics and Data Engineering teams, you will work together to iterate existing models (such as product ranking), and build, test, then implement net-new models for projects involving customer personalization, retention, and quality of our product flow experience.During your first year, you can expect to: Identify gaps, understand business requirements, translate them into problem statements, then ideate and recommend data science solutions after thorough research Focus on Feature Engineering, Model Training, and Model Evaluation in addition to data munging/wrangling Identify the most fitting algorithms and statistical techniques for various projects, as well as the best features for models Set up and own post-deployment model monitoring Make business recommendations and effectively present the findings across various stakeholder levels Past working experience building ML models for real-world problems from ideation to implementation Comfortability with making business recommendations and presenting to stakeholders Demonstrated proficiency in one or more statistical programming languages for data science - we use Python Comfortability with writing complex SQL queries to extract and integrate data from multiple database sources Desire to learn and implement production deployment of ML models, if not experienced with it Nice to Haves: Bachelor's Degree (or equivalent experience) in a quantitative discipline Experience with production deployment Proficiency in SparkSQL, PySpark, and/or Azure Databricks Market knowledge in fintech, ecommerce, and/or social media The Opportunity - have a major impact at a growing company that is helping make financial stability possible for everyone Comprehensive Health Benefits - medical, dental, vision, and paramedical health benefits for you and your family, with extra yearly coverage for psychotherapists and massage therapists Additional Health Benefits - virtual benefit offerings that allow you to connect 24/7 with nurses, doctors and mental health professionals Parental Leave Top-up - available to new parents Wellness Benefit - $600 annually to spend on whatever brings you joy WFH Reimbursement - we ship you gear like a laptop, mouse, keyboard, and you can reimburse additional items to make your workplace better for you Employee Development Benefit - annual reimbursements on payments to help your learning Givewell Benefit - 1 paid volunteer day a year to give back to the community Flexibility - flexible working hours and a flexible vacation policy 90 Days Away Policy - you can travel to other countries and work outside of Canada for up to 90 days a year - so far, people have used this opportunity to visit Spain, Portugal, Costa Rica, Brazil, France, Italy, the Netherlands, and more We are remote-first across Canada, meaning you have no mandatory obligation to come in-office unless you choose to do so - you decide what is best for you. Our offices are located in Toronto and Kelowna, with teams distributed primarily in Ontario and BC. We do not intend on changing this remote-first status.At Borrowell, one of our core values and firm beliefs is that diversity makes us better. If you’re unsure about your qualifications for this position, we’d still encourage you to apply. We’re looking for candidates who have experience, but know that not everyone’s had a chance to demonstrate what they can do. What’s most important is that you have a growth mindset and care about helping people with their finances - an area in their lives that causes a lot of stress.Please note that due to the sensitive nature of the work we do, clearing a credit and criminal record check is a condition of employment.Borrowell encourages applications from candidates with differing abilities. Please let us know if you require accommodation at any stage in the selection process.Here at Borrowell, we stand in solidarity with Ukraine. We welcome all people making use of the Canada-Ukraine authorization for emergency travel (CUAET) program to apply and we will get back to you as soon as we can.#LI-Remote
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Data Scientist Senior Or Lead | Progressive |
As a Senior or Lead Data Scientist with the Machine Learning Engineering team, you’ll advance the use of technology, machine learning, applied statistics and large sets of labeled data to develop solutions across multiple business units and IT. You'll work across the enterprise to identify and implement solutions, promote best practices, and advocate for the data science community. In this exciting role, you'll have a direct impact on machine learning, engineering, leadership, and business consulting. You'll own the end-to-end model development and deployment process, going from idea to production. You'll work closely with the business and IT to shape the future of data science teams and best practices for the data science lifecycle. Remote work allowed.
Must-have qualifications
Master's degree or higher with quantitative focus in Econometrics, Statistics, Operations Research, Computer Science or related field (e.g. Mathematics).
In lieu of the above, Bachelor's degree with quantitative focus in Econometrics, Statistics, Operations Research, Computer Science or related field (e.g. Mathematics) and a minimum of 1 year of relevant experience in Statistical/Quantitative Modeling and/or Machine Learning tools (R, Python, etc.) and in using various database tools (e.g. Hadoop, SQL) processing large volumes of structured and unstructured data.
In lieu of a degree, a minimum of 5 years of relevant experience in Statistical/Quantitative Modeling and/or Machine Learning tools (R, Python, etc.) and in using various database tools (e.g. Hadoop, SQL) processing large volumes of structured and unstructured data.
Preferred skills
Delivered multiple customer-facing products, models, and systems into production
Two years of experience using Linux, GitHub (version control), public cloud infrastructure and mathematical model creation; with machine learning and statistical model creation and/or evaluation, EDA, feature engineering, hypothesis testing, and experimental design
Skilled in Linux, SQL, Bash & highly proficient in Python
Demonstrated thought leadership in data driven decisioning that had a tangible impact on business and ability to perform in an ambiguous environment
Compensation
$80,300 - $147,500/year depending on position level and experience
Gainshare bonus up to 30% - 40% (depending on position level) of your eligible earnings based on company performance
Benefits
401(k) with dollar-for-dollar company match up to 6%
Medical, dental & vision, including free preventative care
Wellness & mental health programs
Health care flexible spending accounts, health savings accounts, & life insurance
Paid time off
Paid & unpaid sick leave where applicable, as well as short & long-term disability
Parental & family leave; military leave & pay
Diverse, inclusive & welcoming culture with Employee Resource Groups
Career development & tuition assistance
Onsite gym & healthcare at large locations
Equal Opportunity Employer
Sponsorship for work authorization for this position is available for candidates who already possess an H-1B visa.
#LI-Remote
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Associate Data Scientist Sustainability | Indigo |
About Indigo
Indigo Ag is a mission-driven company dedicated to harnessing nature to help farmers sustainably feed the planet. We innovate across a breadth of technology and science disciplines to help enhance agriculture's long-term sustainability and profitability and mitigate the climate crisis. We seek to positively impact the world through the digital and biological solutions we bring to the market, creating a more resilient earth, healthier economies, and thriving communities. Our people build partnerships, explore the science, and engineer the technology to help grow the future of sustainable agriculture. The only way to achieve it is through a unique combination of expertise – from Fortune 500 to academia, soil science and agriculture, to tech start-ups.
The sustainability data science team is a multidisciplinary team that harnesses data science, statistics, and technology to build a data-driven, scientifically-rigorous sustainability program. Our activities span several aspects including:
1. operational tasks to conservatively quantify Carbon sequestration approaches, rates, and efficacy
2. partner with our science team on more R&D activities to design, analyze, and derive actionable insights from the frontiers of sustainability and carbon sequestration field experiments and sensor technologies
3. strategic decision support with forecasting and scenario planning
4. partner with the product team on tools, processes, and data products to enhance the grower’s Carbon program experience
About the role:
We are looking for an associate data scientist to tell the story of our data, derive insights, and drive decisions. Partnering with the product team, marketing, engineers, and others—all of whom are hungry for insights—and with the support of other data scientists and business intelligence analysts, you will work to understand data, develop hypotheses, answer questions, extract and interpret insights, and make recommendations.
The data will span transactional data, web analytics, as well as a rich set of open and proprietary agronomic and demographic datasets. As such, analyses may span questions around growth, engagement, and agronomics insights at a variety of spatial scales.
The primary focus of this role is analysis (as opposed to reporting which is primarily handled by the business intelligence team): descriptive insights, session analysis, driver analysis, path analysis, churn analysis etc. as well as some predictive modeling (regression, classification, cluster analysis etc). You will be part of the sustainability data science team and have plenty of mentorship, support, and domain expertise to lean on, and a chance to develop skills and grow.
Competencies:
Strong sense of quality and attention to detail
Excellent verbal and written communication skills
Curious and proactive. Bias for action.
Willing to interface with many areas of organization to understand our data, share insights, and have impact
Strong data manipulation and munging skills
Strong data visualization (matplotlib, ggplot, seaborn etc) and story-telling skills
Qualifications:
Masters Degree in Computer Science, Math, Statistics, Physics, Engineering, or related required
Comfortable writing SQL
Comfortable writing Python and/or R
Experience with version control software such as github
Experience working in an agile environment
#LI-RO1
#LI-Remote
At Indigo, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and team members. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, sex, pregnancy (including childbirth, lactation, and related medical conditions), national, social or ethnic origin, age, physical, mental or sensory disability, marital status, family or parental status, sexual orientation, gender identity and/or expression, family medical history or genetic information, military and veteran status, and any other characteristic protected by applicable law. Indigo believes that diversity, equity, and inclusion among our team members are critical to our success. We seek to recruit, develop and retain the most talented people from a diverse candidate pool.
If you’re applying for a job in the U.S. and need reasonable accommodation for any part of the employment process, please email [email protected] and let us know the nature of your request and contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address.
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Data Scientist All Levels | Convoy |
About the team: The Science & Analytics team is at the core of Convoy’s business. We build the models that power freight pricing, shipment offer relevance, auction bidding strategy, and other core services. The breadth of the problems space is huge, spanning machine learning, optimization, metric definition, econometrics, and prediction domains. And we have only begun to dig into the difficult and diverse problems in our two-sided marketplace.
About you: At Convoy you will be expected to work autonomously and own your domain end-to-end. You will collaborate with Research Scientists, Product Managers, and Engineers across the Product organization and interact with stakeholders across the company. You will be responsible for defining core business logic in our data warehouse, developing insights to drive product decisions, and building data science models.
You will:
Measure the impact of product launches using experimental and quasi-experimental methods (A/B testing, causal inference, statistical modeling)
Discover new opportunities and shape product/business strategies through data-centric approaches
Maintain, monitor, and debug production models/decisions systems
Develop metrics to measure system performance and business impact
We’re looking for someone who has:
Minimum of 2-7+ years of industry experience in Data Science
Strong programming skills (Python and R preferred). Proficient with statistical data analysis and modeling
Ability to break down high level business problems into concrete analytical solutions
Strong written and verbal communication and keen attention to detail
Nice to Haves:
Advanced degree in economics, statistics, computer science, operations research, engineering, a natural science or equivalent quantitative subject
Experience in SQL and ETL pipeline
Strong examples of your outputs influencing product or engineering road-maps
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Applied Sr Data Scientist Credit | Climb Credit |
Who We Are
Climb Credit (NMLS# 1240013) is an innovative student financing and payments platform that makes career-advancing education more accessible, affordable, and accountable than ever before.
Climb identifies programs and schools with a demonstrated ability to improve the earnings of their graduates. Climb partners with schools that teach everything from cybersecurity to healthcare, heavy machine operation to data science, and culinary arts to coding.
We provide learners with financing and payment options that are priced and structured to meet the unique needs of those seeking career elevation and increased earning power.
Climb Credit’s mission is to expand access to career advancing education and we aim to do this for all communities. Therefore, we are committed to building a workforce that’s a representation of our learners. Climb fosters an inclusive work environment to all its employees; We celebrate diverse representation and diverse thinking.
To further this commitment, we’ve set a goal to promote inclusivity and equity in our workplace internally and with schools and financing providers externally. We do this through our company DEI Taskforce meetings to work through these initiatives. Climb acknowledges its power in providing access to educational opportunities and the positive impact of diversity, which is why we have taken on this commitment to push forward this work. We encourage our employees to be their most authentic selves and strive to create, nurture and sustain an inclusive culture for our employees and learners.
Climb’s Values
- Drive access and inclusivity
- Build a better system
- Own the solution
- Iterate and experiment
- Succeed together
Overview of Role
We are looking for a promising quantitative financial analyst who is excited to join the Quantitative Modeling & Analytics team within the Capital Markets group at a fast-growing startup. The ideal candidate will have a strong finance and credit markets background, experience with analytical tools & technology, and a track record of producing insights and providing clear and actionable analysis for various stakeholders.
Responsibilities
As part of the Quantitative Modeling team, you will:
-Analyze loan performance data and detect trends.
-Build performance, pricing and risk models for loans and structured credit investors.
-Streamline systems to improve data collection, accuracy and analysis.
-Work with investors and other stakeholders on reporting and data requests.
-Design, implement and test risk management policies and procedures.
-Create forecasting, stress and scenario analysis tests.
-Support the development of loan underwriting models that drive loan originations while minimizing credit losses.
-Collaborate intimately with internal teams on product development as well as cross-functionally to support company goals.
Your Background and Skills
Strong understanding of financial concepts, in particular fixed income, credit and structured products.
2-5 years of experience in a financial markets / research or data scientist role.
2+ years experience using Python to build financial models, run statistical analysis and automate Excel-based processes.
2+ years experience with SQL and data visualization tools.
2+ years of experience with data manipulation and analysis with large data sets.
1+ years experience with fixed income cash flow waterfall modeling
Willingness to take initiative and solve problems with limited direction.
Ability to think critically and challenge assumptions.
Excited to learn and understand business objectives, and help ensure that our products deliver value to students and schools
Ability to work in a very fast-paced and fluid small-team environment at a growing company
Strong oral and written communication skills
Professional, detail-oriented, and energetic personality
Ability to succeed in an entrepreneurial culture
Values diverse, inclusive teams and creating an environment where people of all identities, experiences, and backgrounds can thrive
Nice to Have:
Product knowledge and experience in fixed income securities, particularly student loans.
Bachelor’s Degree or a Master’s Degree in a quantitative field, such as quantitative finance, financial engineering, data science, econometrics, etc.
Demonstrated passion for Climb’s mission to expand access to quality education
The capability of expanding quickly into larger responsibilities as the company grows rapidly
Read about us in the news, check out our company values, and find us on Comparably.
Climb Credit is proud to be an equal opportunity employer, and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.
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Data Scientist | Jw Player |
About JW Player:
JW Player is the leading video software and data insights platform that gives our customers independence and control in today’s Digital Video Economy. Founded over a decade ago as an open source video player, JW Player’s technology platform now powers digital video for hundreds of thousands of businesses across NA, EMEA, APAC and LATAM. Each month, there are over 1 billion viewers across 2.7 billion unique devices consuming video on JW Player’s technology.
The Data Science Team:
The Data Science team at JW Player uses the billions of data points that we collect from our video player and products to create novel data products and improve existing products through research and experimentation. We develop models to meet critical business needs, and we champion a data-driven culture at JW Player.
The Opportunity:
JW Player is looking for a Data Scientist to join our internationally growing team. As a Data Scientist, you will be a part of a collaborative, creative, multidisciplinary team of Data Scientists, Engineers and Analysts. This is an exciting opportunity to make an impact with R&D decisions, product analytics, and machine learning models for one of the most innovative companies in the video space.
As a Data Scientist, you will:
Develop and support predictive models used millions of times daily
Leverage data to research, envision, and implement improvements to JW products
Envision and define requirements for new data sources
Work with engineers to envision and build end to end solutions
Work with Product Managers to answer key questions about JW Player products
Plan, execute, and analyze controlled experiments
Influence the direction of the business by effectively communicating results to cross functional groups
Democratize data by building and sharing tools and dashboards
Provide expertise on machine learning concepts for the broader Data Team and inspire the adoption of data science across the entire breadth of our organization
Requirements of the role:
1+ years experience of developing data science products
An advanced degree in an analytical field such as (but not limited to!) statistics, computer science, mathematics, operations research, engineering, natural sciences, economics
Fluency in Python and libraries such as pandas, Numpy, Scipy, & Scikit-learn
Knowledgeable and experienced with statistical modeling and machine learning
High proficiency with SQL and relational databases
Exceptional data visualization skills
Good organization skills, ability to lead multidisciplinary projects
An ability to story tell with data to technical and non-technical audiences
Bonus Points:
Experience building analytics pipelines with tools like Airflow and/or dbt
Experience with deep learning frameworks like Tensorflow
Experience with Looker
Knowledge of video, video advertising
Familiarity with big data tools like Spark and Presto
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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Senior Manager Data Science | Playstation |
•Guides the creation of performant data systems and analysis that work at scale for multiple projects.•Provides coaching, performance evaluations, career development support and opportunities for team members.•Collaborates with studio leadership to support studio cultural values and foster a positive work environment.•Collaborates with project management to maintain a team schedule that meets project goals and deadlines while supporting a sustainable team workload.•Guides and manages the data team's work and ensures its positive impact of the data, from the micro (engineering analysis of bugs and performance) to player experience with the game itself, and the macro (financials, customer acquisition and retention, etc.). Collaborates with many partners, including engineering, finance, design, and leadership.•Works closely with Design, engineering and other departments to provide technical, scheduling, and creative feedback on game, develops project goals and communicates technical requirements and limitations.•Directs strategy for data collection, storage, and retrieval; builds, buys, borrows, or partners to implement solutions.•Structures and staffs team appropriately, including acting as hiring manager for and ensuring efficient onboarding of new employees.•Maintains thorough understanding of team’s technical systems and provides guidance to team members.•Contributes direct technical work, though never at the expense of non-technical responsibilities.•Ensures that all complaints and concerns related to inappropriate or unprofessional conduct in the workplace are addressed immediately to foster a safe work environment•Evaluates games in development to help inform data science tools, techniques, and decisions.•Other duties may be assigned.
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Data Scientist Cv 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. Our talented team of scientists, engineers, genealogists, historians, and storytellers is dedicated to empowering customers around the world from all backgrounds on their journeys of personal discovery.
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. Passionate about dedicating your work to enriching people’s lives? You belong at Ancestry.
We are hiring a Data Scientist with Computer Vision 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. You will have the potential to be fully remote (some states excluded).
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...
2 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
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 Manager Data Science | Andela |
About the role
Andela’s two-sided marketplace is a multifaceted hub of expert talent and leading companies with exciting challenges related to pricing, matching, marketplace health, go-to-market campaigns, and many others. Data Science (DS) is a crucial weapon at Andela to attack these problems. We employ a wide variety of approaches including but not limited to system dynamics and simulation, machine learning (ML) on both structured and unstructured data, recommendation algorithms, and combinatorial optimization. The Senior Manager, Data Science role at Andela will be the primary conduit for all data science-related projects for Andela’s product marketplace as well as other business initiatives. You will be managing a team of high-quality data scientists, collaborating with the machine learning and operations research technology leads, coordinating all data science activities, and guiding execution in collaboration with the Andela data, engineering, and product teams.
Key Responsibilities
Manage a team of data scientists and coordinate with technology leads.
Execute projects in collaboration with data, engineering, and product teams.
Work with the Director of Data Science on defining data science team composition and roadmap for the autonomous talent marketplace.
Requirements:
Graduate degree (MS/Ph.D.) in engineering/information systems / applied science or equivalent practical experience.
High fluency in ML algorithms and other data science approaches.
Minimum 5 years of work experience deploying algorithms in production for impactful B2B or B2C products.
Flexibility in working with a variety of data science approaches.
Evidence of team management and leadership in a multifaceted environment.
Benefits
Fully Remote work culture - we hire globally and all of our roles are fully remote!
Bring your own device stipend - buy your own laptop with funds from Andela.
Quarterly work from home stipends.
Flexible working hours.
Equity (as a part of compensation package).
Healthcare, 401k / pension (US only).
Andela Affinity Groups.
Growth & development paths.
Generous Paid Time Off, Parental Leave, Compassionate Leave.
And more to come! We're on a journey to reimagine global benefits at Andela.
#LI-MV1
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Data Scientist | Green Dot |
We’re looking for talented professionals, anywhere in the United States, to join us in bringing smart money management and payment solutions to everyone’s fingertips.At Green Dot, we are evolving to a new and permanent “Work from Anywhere” model designed to maximize the benefits of remote work, promote and enable a strong culture of performance and connectedness, and attract the best and brightest talent who align with our entrepreneurial spirit and mission.“I want the best and brightest people we can find to join our team to help us be successful, and you can live anywhere you want. What COVID did was force a mind shift; we see how productive we are working from anywhere and how much our employees love it. It’s more important to be productive than be busy. If you force people to come to an office every day, then everybody’s going to try to be busy,” Dan Henry, President & CEO. (quoted in CNBC)<<>><<>><<>><<>><<>><<>><<>><<>><<>><<>> JOB DESCRIPTIONThis is an exciting opportunity to apply data science techniques and drive the growth of Green Dot’s Direct Business - including strategic product: GO2bank -‘The ultimate mobile banking app’. The data science team is working on several projects related to lead scoring, funnel optimization, experimentation, customer retention, product analytics and fraud/risk ops areas. We are looking for candidates who are passionate about leveraging data science techniques to solve business problems and supplying stakeholders with actionable insights/decisions. The ideal candidate must be a self-starter who is able to deliver high quality work within tight deadlines and potentially propose/develop innovative solutions as well. The candidate will be reporting to Sr. Director of Data Science.Job Responsibilities
Develop and implement data science/advanced analytics enabled solutions to drive business outcomes and goals
Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for services and product enhancement.
Own and deliver predictive modeling/analytics projects of moderate scope or manage significant tasks on complex data science projects
Perform large-scale data analysis to inform business decisions around web behavior, funnel optimization, transactions, balances, customer behavior, risk and overall operational trends
Define, write queries, extract and transform data sets to create features for modeling and/or generate actionable insights
Collaborate with Data engineering, BI, Model Risk Management, IT and Product teams as needed to deploy models/analytical solutions into production
Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
Collaborate with Marketing, Product, Operations (fraud, supply chain, risk) or other business stakeholders as per project needs and communicate results of the models/analytical solutions developed
Perform other duties as need
Job Requirements
Bachelor’s degree in a quantitative, technical, or financial discipline required. Masters in similar field is a plus
7+ years of experience in data science or advanced analytics
Advanced understanding of data science and statistical modeling techniques such as classification, clustering, regression, decision trees etc.
Proficiency writing SQL (i.e. Amazon Redshift, MS-SQL Server) and working with large data sets
Experience using Python (required) , other statistical tools (such as R) and AWS Sagemaker (preferred but not mandatory)
Experience developing dashboards using business intelligence or reporting tools such as Tableau or Microstrategy
Proactive work style, progressive thinking skills, strong work ethic, communication and problem-solving skills
POSITION TYPERegular<<>><<>><<>><<>><<>><<>><<>><<>><<>><<>>Green Dot promotes diversity and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Green Dot provides reasonable accommodations for candidates on request and respects applicants' privacy rights.
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Senior Data Scientist | Grow Therapy |
Who We Are:
About Grow Therapy
We’re on a mission to fundamentally transform mental healthcare accessibility. Grow Therapy empowers therapists to launch and grow thriving in-network private practices. We’re creating game-changing technology to build America’s biggest behavioral healthcare group and ensure that anyone can afford quality mental healthcare. Following the mass increase in depression and anxiety from the pandemic, the need for accessibility is more important than ever.
To make our vision for mental healthcare a reality, we’re building a team of entrepreneurs and mission-driven go-getters. Our founders come from Harvard Medical School, Stripe, and Blackstone, and are champions of balancing bold ambitions with a culture that promotes holistic well-being. Since launching in 2020, Grow has raised over $15M from top VCs and angel investors, including leaders from SignalFire, Village Global, Airbnb, Oscar, Nurx, Quartet, and Blackstone.
Role Overview
Since founding, Grow has been gathering rich data throughout our systems. We are looking for an entrepreneurial Data Scientist to cut, analyze, and use insights to drive recommendations that will highly impact the business. As a Senior Data Scientist, your work will be highly cross-functional, touching various aspects of the business (growth, billing, operations, and more) and you will report directly to Grow’s CTO and collaborate with the CEO.
From a high level, implement ML features that will drive huge impact, explore our data and showcase to the executive team where we have leverage as a business, and help set and measure KPIs. More specifically, you’ll be owning three projects:
(1) Optimize search and discovery for the client marketplace (www.growtherapy.com), improving conversion from visitor to client. You’ll analyze marketplace data and build data products to extract valuable insights that the Growth team can take action on.(2) Analyze the efficacy of different growth channels. As Grow explores various new channels for client acquisition, you'll be responsible for collaborating with the Growth and Marketing team to track success of these efforts and make recommendations accordingly. This includes understanding which channels drive certain bookings, such as specialty, identity, age, gender.(3) Build an automated internal KPI dashboard across business functions (billing, revenue, client, etc), specifically to improve our Revenue Cycle Management. You’ll coordinate insurance data to optimize performance metrics of our provider network to understand follow-up rates and variations by permutations, ultimately to improve our provider-client matching efficacy. These insights will be directly communicated to Grow’s CEO.
Requirements
Mission-driven and passionate about making a difference for improving accessibility to quality mental healthcare3+ years of relevant work experienceYou’re a SQL NinjaCritical thinking skills to distill data to the most valuable insights to inform business decisionsExcellent communication skills to share data insights with the C-Suite and collaborate closely across functionsExcited about being a decision-maker, driving recommendations, and working in a rapidly growing startup environmentBonus: startup experience, Master’s degree in a quantitative field
Benefits
The chance to transform the mental healthcare landscape and drive impact from day oneOur dedication to mental health guides our culture. Wellness benefits include unlimited PTO, winter break, Mental Health Mornings (2hr each week), wellness stipend, team meditation, lunch on us, and so much more!Comprehensive health insurance plans, including dental and visionFlexible working (hybrid of in-person & remote), relaxed dress code, office petsContinuous learning opportunities which include dedicated learning days, generous learning stipend, and monthly mental health workshopsStrong ownership of your work, mentorship, and unbounded leadership opportunities. You’ll have the opportunity to help build a rapidly scaling organizationCompetitive salary
#LI-Remote #Bl-Remote
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Data Scientist | Soona |
about the data scientist, decision sciences role:soona is looking for a data scientist to join our decision sciences team as we continue to build a world-class data organization. you will work closely with the data engineering, analytics, and engineering teams to create and maintain analyses and machine learning models to evaluate new products and features created by engineering teams. to be successful in this role, you will work with the product team to understand and fulfill their analytics needs, perform experiments to split test new products and features, and contribute quality code to our dbt and looker codebases. this is a full time position that will report directly to the senior director of data science.about soona:soona makes it possible for brands to create professional photo and video starting at $39. our studios give customers a playground for creating their content and our online platform makes it possible for any product company in the world to experience a remote shoot. we are creating a fast casual content revolution!soona is currently supporting a remote work environment for this role; however, we are currently looking to hire in these states only: California, Colorado, Illinois, Massachusetts, Minnesota, New Jersey, New York, Texas and Washington with requirements to be able to work in mst or cst time zones. for flex hybrid work environments, we also have office spaces in Denver, Colorado + Minneapolis, Minnesota, if that’s your thing.about tech at soona:at soona, we’re focused on building a world-class engineering and data organization. we’re developing a highly-scalable platform for real-time customer engagement with our studio creatives and technology that optimizes the content they create. our typical engineering and data projects blend SaaS with e-commerce, providing opportunities to work on everything from app engineering and cloud/server architecture to computer vision and logistics/routing optimization. our tech stack consists primarily of ruby on rails, javascript vue, and python. we pride ourselves on our culture of innovation, community engagement, technical mentorship, and caring for the individual.an ideal candidate can: help create and maintain our multi-source data ingestion pipeline implement data quality tests to ensure production data is accurate and available access data from our data warehouses to create datasets for model building train valuable machine learning models that impact business decisions create internal apps that serve up model outputs and predictions in real-time deliver quality code in an agile framework that ships to a production environment correlate work to business KPIs and be accountable for improvement targets communicate with data and engineering teams as well as business stakeholders has experience in: effectively communicating and coding in a remote work environment python – the core language of the data organization sql – optimizing performance/transformation efficiencies on OLAP data warehouses dbt – our primary data transformation layer looker or equivalent data reporting platform general machine learning and statistical methods aws or equivalent cloud environment (preferred) segment, airbyte, docker, airflow, flask/fastAPI (preferred) working in a startup environment (preferred) we can offer: starting salary: $110,000 - $125,000 benefits & perks + unlimited pto + intentional culture really badass headshots
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Director Advocacy Nonprofit Analytics | Civis Analytics |
Civis Analytics is seeking a Director to play a pivotal role in powering Civis’ growth within the Advocacy & Nonprofit sector. You will lead end-to-end delivery of client solutions, including initial business development, problem scoping, and delivery. You will help grow Civis's business by delivering excellent work and identifying new strategic growth opportunities for the company.
The Applied Data Science (ADS) team is the consultancy arm of Civis Analytics, working closely with global nonprofits and companies, as well as Federal agencies and state & local governments, to help solve their toughest challenges with data science. The Director will manage, supervise, and mentor a team of Applied Data Scientists to deliver analytic solutions to help inform our clients’ biggest decisions.
The Director will work closely and cross-functionally with teams across the company, including engineering, product, legal, finance, and sales, to advise, oversee, and communicate work internally and externally.
Responsibilities
Manage and lead a team of applied data scientists, as well as cross-functional client delivery teams, that provides analytics and survey research consulting to achieve our clients’ business goals through the usage of Civis’ services and technology
Partner with technical, product, and sales teams to establish a strategy that accomplishes a client's strategic goals
Own engagements end-to-end and design the scope and analytics roadmap for clients. Manage a team through the process of solving some of our clients’ hardest problems; defining the client’s problem, designing a solution, and delivering high-quality work
Grow Civis' business by delivering excellent work, identifying new strategic growth opportunities for the company, and developing expertise and credibility in nonprofit data science
Develop and manage relationships with clients and decision makers and be responsible for all client-facing communication and work product
Lead the research design of their projects, including statistical and data management methods, soliciting input from subject matter experts when needed
Ensure that all deliverables provide substantive value to clients, adhere to our standards, and further our mission
Minimum Qualifications
Bachelor’s degree in an analytical subject (e.g., statistics, math, social science) or business (e.g., marketing, economics)
Minimum of 7 years of applicable work experience in a significant management role, management of line of business, or management of a research group
A strong foundation in statistics and data analytics expertise in survey research and statistical modeling. This will be demonstrated by having 5+ years of experience working with large data sets to solve real-world business challenges
Firm understanding of statistical software and programming applications (e.g., SAS, Stata, R, Python) and visualization technologies/libraries (e.g., Tableau, D3, Google)
Experience managing teams to complete projects within scope and on time
Experience overseeing multiple projects with competing resource demands and timelines
A track record of helping teams win new contracts
Excellent interpersonal and communication skills
Demonstrated history of delivering high-quality analytic work to advocacy groups and nonprofit organizations
Preferred Qualifications
Advanced degree in an analytical subject or business
Experience writing proposals, building cost and pricing estimates of proposed work, and selling the work to new or existing clients
Experience working for a consulting, services, or advisory firm
Familiarity with machine learning and causal inference a plus
All employees either must be fully vaccinated against COVID-19, initiate vaccination before your start date, or file an exemption request prior to start date per company policy for review. Due to the uncertainty of COVID-19, all Civis offices are closed and employees are remote until further notice. This is being closely monitored as the situation evolves. Although it’s likely our offices will reopen, positions hired outside of Civis office locations will be remote roles.
Who we are
Civis offers opportunities for newcomers, seasoned professionals, and anyone in between. Our teams are energized by complex challenges and value diversity of thought. Opportunities to stand out and inspire happen daily, and we trust and encourage you to act on your ideas—no matter how big they are.
We offer you the tools and community you need to do your best work. Each of us is committed to holding ourselves accountable for results, challenging the status quo, and finding new ways to help our company—and each other—grow.
Why join our team?
The opportunity to be part of a growing tech startup focused on solving interesting and meaningful problems, invested in internal promotion, and committed to fostering a diverse, equal, and inclusive workplace.
Competitive benefits, including unlimited PTO; 401K match with immediate vesting; health, dental, and vision benefits; fully paid parental leave; breastfeeding support, including breastmilk shipping services for traveling moms; commuter benefits; wellness initiatives, including weekly group meditations; monthly on-site massage therapy; and pet insurance.
To support employees in our now-fully remote work environment, we have expanded our virtual journal and book clubs, Donut Pals (organized virtual coffee meet-ups), Lightning Talks (five-minute presentations on anything you’d like), Lunch-and-Learns, and HR Open Discussions (bi-weekly meet-ups where we discuss ideas and topics of the day in a casual format). We are also able to support and accommodate flexible work from-home-schedules to help employees juggle their domestic responsibilities.
Civis embraces the individuality of our employees, and we celebrate each other's differences. Our products, services, and culture benefit from and thrive on the unique perspectives brought by each person in our Civis community. We're proud to be an equal opportunity workplace, and we are committed to equal employment opportunity regardless of race, age, sex, color, ancestry, religion, national origin, sexual orientation, gender identity, citizenship, marital status, disability, or veteran status. If you have a disability or special need that requires accommodation, please contact us [email protected].
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.
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