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Associate Data Analyst Health Data Scientist R Gis Remote | University Of Pittsburgh |
Associate Data Analyst (Health Data Scientist,R/GIS,Remote)
Pharm-Pharmacy & Therapeutics - Pennsylvania-Pittsburgh - (22005508)
The University of Pittsburgh is seeking an Associate Data Analyst to assist the School of Pharmacy's Program Evaluation and Research Unit (PERU). The incumbent will conduct data management, data analysis, and the interpretation of data analyses on programs involving opioid use disorder, health system innovations, and suicide and injury prevention. Additionally, the incumbent will be responsible for providing advice to PERU programs and to outside stakeholders on data specifications, data use agreements, and data representation. The position requires the incumbent to work in collaboration with a multi-disciplinary team. The incumbent will be responsible for communication with county-level entities seeking assistance, conducting assessments of county-level systems, and gathering resources for developing overdose prevention initiatives.
Master's degree in statistics preferred. Experience with standard statistical programs, such as R, SPSS, SAS, STATA, Excel, is required. A Bachelor's degree can be substituted for the Master's with equivalent experience. The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EOE, including disability/vets. The University of Pittsburgh requires all Pitt constituents (employees and students) on all campuses to be vaccinated against COVID-19 or have an approved exemption. Visit coronavirus.pitt.edu to learn more about this requirement.
Department Details This position requires a strong professional background in geospatial data management and analysis. The candidate should be able to demonstrate competence in geodatabase development, data transformation, and map design in dedicated GIS software such as ArcGIS Pro or QGIS, along with an understanding of basic cartographic principles. Experience with ArcGIS Online, Dashboards for ArcGIS, and geospatial packages in R (i.e., leaflet, tmap, rgdal, etc.) is strongly preferred.
Experience working with ethnically and culturally diverse populations is preferred. A commitment to achieving healthcare diversity, equity, and inclusion is a must. Pitt is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity, and diversity. EOE, including disability/veterans.
Robust retirement savings plan, 11 Paid Holidays, Additional Paid Time Off for Winter Recess, Paid Parental Leave, Above-average Contribution toward Medical plans, Flexible Work Schedules.
Assignment Category Full-time regular
Job Classification Staff.Research.IV
Campus Pittsburgh
Minimum Education Level Required Master's
Minimum Experience Level Required 3-5 years experience
Work Schedule Flexible Schedule
Work Arrangement Remote: Teams working from different locations (off-campus).
Hiring Range TBD Based Upon Qualifications
Relocation Offered No
Visa Sponsorship Provided No
Background Check For position finalists, employment with the University will require successful completion of a background check
Child Protection Clearances Not Applicable
Required Documents Resume, Cover Letter
Optional Documents Not Applicable
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Data Scientist Athletics | University Of Pittsburgh |
Data Scientist, Athletics (remote)
Pitt IT Analytics - Pennsylvania-Pittsburgh - (22007540)
Panthers Data and Analytics represents the University of Pittsburgh Athletics Department as a part of the University’s Pitt IT Analytics team. Our mission is to “Improve decision-making by managing data from source to strategy.”
We represent four domains in our framework: two on-field (administration and revenue generation) and two off-field (sports science and sports analytics).The position will work on projects across all domains. Projects could include data related to transactions, products, customers, player performance, sports events, and player movement.
The position will utilize Tableau, Alteryx, R and/or Python, and AWS to create analytics solutions.
The Pitt IT Analytics team is remote but often operates in conjunction with the University’s on-site business units. The candidate should be prepared to work based on the eastern time zone.
The position will regularly collaborate with other members of the broader Pitt IT Analytics team including data engineers and data scientists.
Pitt Information Technology (Pitt IT) creates experiences that delight, inspire, and empower people to impact education, research, and the broader community. Your efforts will be supporting a world-renowned teaching and research facility. Pitt IT is committed to representing the diverse community we serve; to value and promote equity, humanity, and diversity. We encourage qualified individuals to apply and join us in leveraging the strengths of people belonging to every race, ethnicity, nationality, religion, gender, gender-identity, neuro-variance, sexual orientation, age, disability, and veteran status.
Join the team responsible for strategy, implementation, and maintenance of technology at the University of Pittsburgh—ranked by Forbes among Amazon, CDW, Cisco Systems, Google, LinkedIn, and Microsoft as one of “America’s Best Large Employers.”Applicants should include salary requirements in cover letter.
Equivalent combinations of education, relevant experience, and industry certifications may be considered per University guidelines.
3+ years preferred of experience working with complex data sets using advanced statistics or machine learning; preference toward experience specifically in any of our sports domains: administration, revenue generation, sports science, or sports analytics.
Self-directed, motivated, and comfortable working in a fast-paced environment
Communicate technical and statistical concepts effectively with non-technical parties
Advanced knowledge of quantitative programming skills in Python or R
Advanced knowledge of SQL to extract, merge and synthesize disparate datasets
Working knowledge of data visualization and dashboarding; specifically with Tableau preferred
Experience with data lake architectures and related data and analytics services in AWS preferredExperience retrieving data from APIs preferred
The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EOE, including disability/vets. The University of Pittsburgh requires all Pitt constituents (employees and students) on all campuses to be vaccinated against COVID-19 or have an approved exemption. Visit coronavirus.pitt.edu to learn more about this requirement.
Department Details Applicants (incl. internal) must include complete employment history on application and attach a current resume specifically to this requisition #.
Pitt Information Technology provides innovative services that support teaching, learning, research, and administrative functions at the University of Pittsburgh. We are committed to leveraging University resources, to enhance the experience of students, faculty, and staff; drive the digitization of campus; facilitate community engagement; and accelerate regional impact.
Assignment Category Full-time regular
Job Classification Staff.Systems/Programmer.IV
Campus Pittsburgh
Minimum Education Level Required Baccalaureate
Minimum Experience Level Required 3-5 years experience
Work Schedule M-F bus hrs EST. On occasion, some evening and weekend work may be necessary depending on business load, project timeline requirements, etc.
Work Arrangement Remote: Teams working from different locations (off-campus).
Hiring Range TBD based on qualifications
Relocation Offered No
Visa Sponsorship Provided No
Background Check For position finalists, employment with the University will require successful completion of a background check
Child Protection Clearances Not Applicable
Required Documents Resume
Optional Documents Cover Letter
|
Senior Data Scientist | Intercom |
Senior Data Scientist
The world’s first customer platform helping internet businesses accelerate growth☝️
Intercom is the only suite of customer messaging products that drives growth at every stage of the customer lifecycle—across acquisition, engagement, and support. Today more than 30,000 businesses use Intercom to connect with a billion people worldwide.
Join the company helping businesses grow revenue through live chat, and so much more.
What's the opportunity? 🤔
The Research, Analytics & Data Science (RAD) team at Intercom use data and insights to drive evidence based decision-making. We're a team of data scientists and product researchers who use data — both big and small — to unlock actionable insights about our customers, our products and our business. We generate insights that build customer empathy, drive product strategy and shape products that deliver real value to our customers. If you get really excited about asking the right questions, exploring patterns in data and surfacing actionable insights that drive strategic decisions, then this role is for you.
Data Scientists in RAD partner with teams across R&D to help Intercom make sense of our users, our products and our business, using metrics and data. This role will enable you to drive key data projects that directly impact our customers and millions of end users who communicate via our messaging platform daily.
What will I be doing? 🚀
You’ll partner with product teams to help them identify important questions and answer those questions with data
You’ll work closely with product managers, designers and engineers to develop key product success metrics, to set targets, to measure results and outcomes, and to size opportunities
You’ll design, build and update end-to-end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables.
You’ll partner closely with product researchers to build a holistic understanding of our customers, our products and our business.
You’ll influence our product roadmap and product strategy through experimentation, exploratory analysis and quantitative research
You’ll build and automate actionable models and dashboards
You’ll craft data stories and share your findings and recommendations across R&D and the broader company
You’ll drive and shape core RAD foundations and help us improve how the RAD org operates
What skills do I need? 📖
4+ years experience working with data to solve problems and drive evidence-based decisions
Excellent SQL skills and good knowledge of statistics
Proven track record of initiating and delivering actionable analysis and insights that drives tangible impact with minimal supervision
Excellent communication skills (technical and non-technical) and a focus on driving impact
Strong growth mindset and sense of ownership. Innate passion and curiosity
Bonus skills & attributes 🙌
Experience with a scientific computing language (such as R or Python)
Experience with BI/Visualization tools like Tableau, Superset and Looker
Experience with data modeling and ETL pipelines
Experience working with product teams
Benefits 😍
We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! :)
Competitive salary and equity in a fast-growing start-up
Employer matched pension contribution
Company bonus programme
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Open vacation policy and flexible holidays so you can take time off when you need it
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done
We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organisation. We're committed to an inclusive and diverse Intercom! We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
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Data Scientist | Job Search |
Job Description
Our offices are open for a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.)
Our Mission:
To actively connect people to their next great opportunity.
Who We Are:
ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android.
Summary of Job:
We use statistical science to understand how to construct an efficient and optimized market, understand causality, and drive our future investment. We use machine learning techniques to solve challenging problems so that we optimally match candidates and jobs. This includes NLP and deep learning along with pragmatic use of simpler machine learning approaches and heuristics.
We're looking for an experienced Data Scientist with a passion for problem-solving to join our team of data scientists and help solve new and existing challenges. Coming up with new analysis and understanding, building models, developing high quality, high-performance code and constantly improving the solution and expanding its scope.
Key focuses:
You'll be joining a team of software engineers, data scientists, and ML engineers working on interesting problems in the fields of recommendations, search, and NLP.Develop production-level code that runs, trains, and maintains ML models.
Minimum Requirements:
Master's degree or higher in Computer Science / Mathematics / Statistics or equivalent3+ years of experience as a Data Scientist Proficiency in PythonStrong background in machine learning, preferably in NLP related fieldsFamiliarity with Deep LearningExperience with Linux environment and AWS Team player with excellent communication skillsActing and thinking as an owner, building code that will run in production
As part of our team you'll enjoy:
Competitive salaryExceptional benefits packageFlexible Vacation & Paid Time OffEmployer-matched 401(k) plan
#LI-Remote
ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics.
Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice
Company Description
ZipRecruiter is the fastest growing employment marketplace. We have helped over 1 million businesses and 100 million job seekers find their next perfect match through partnerships with the best job boards on the web, curated email alerts, award-winning mobile apps, and the world’s best search algorithm for jobs.
ZipRecruiter
ZipRecruiter is the fastest growing employment marketplace. We have helped over 1 million businesses and 100 million job seekers find their next perfect match through partnerships with the best job boards on the web, curated email alerts, award-winning mobile apps, and the world’s best search algorithm for jobs.
Address
Los Angeles,
CA
USA
Industry
Technology
Website
https://www.ziprecruiter.com/careers
View all jobs at ZipRecruiter
Report Job
|
Lead Staff Data Scientist | Shopify |
About the role
Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.
Our Staff (i.e Lead) Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.
Qualifications
7-10 years of commercial experience in a data science role solving high impact business problems
You have well built technical experience that inspires individual contributors creativity and innovation.
You have experience with product leadership and technical decision making.
You have been working closely with various levels of business stakeholders, from c-suite and down.
You can jump into the code on a deep level, but are also able to contribute to long term initiatives by mentoring your team.
Multiple work streams excites you, you are able to use ambiguity as an opportunity for high level thinking.
Experience creating data product strategies, data products, iterating after launch, and trying again.
Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
What would be great if you have:
Previous experience using Spark.
Experience with statistical methods like regression, GLMs or experiment design and analysis.
Exposure to Tableau, QlikView, Mode, Matplotlib, or similar data visualization tools.
All your information will be kept confidential according to EEO guidelines.
If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.
As there are multiple positions, this posting will remain live until all positions have been filled. Successful candidates can expect to hear back from us within 2 weeks of application.#LI-REMOTE
Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.
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Principal Data Scientist Optum Digital | United Health Group |
Combine two of the fastest-growing fields on the planet with a culture of performance, collaboration and opportunity and this is what you get. Leading edge technology in an industry that's improving the lives of millions. Here, innovation isn't about another gadget, it's about making health care data available wherever and whenever people need it, safely and reliably. There's no room for error. Join us and start doing your life's best work.(sm) Make digital experiences in healthcare easier for members by applying data science methods to diverse data sources. Apply your knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Work with analytics, statistical software, and database technologies such as Python, Spark, Databricks, and others to perform analysis and interpret data.
General Job Profile
Company thought leader Functional SME Broad business approach Resource to senior leadership Develops pioneering approaches to emerging industry trends
You’ll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:
Develop actionable machine learning solutions and propose recommendations and strategies to solve commercial opportunities in unique ways that return optimal value to our business Assess internal data and processes to determine opportunities for application of advanced analytics for broad division-wide analytic usage Participate in meetings with business stakeholders, data experts, software/platform engineering, and digital product teams to scope data science use-cases and convert them into scope of work Be a storyteller to explain the ‘why and how’ of your data driven recommendations to cross-functional teams Be a hands-on leader and teach by example by building prototypes using variety of predictive methods while adhering to the ML development cycle (e.g. iterative EDA, prediction specification, feature engineering and model tunning) Self-drive knowledge accumulation of methods and modeling advances by reading research publications, blogs and attending presentations and webinars
You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
Master's or Ph.D. degree in computer science, applied mathematics, (bio) statistics, applied statistics, economics, business, or similar quantitative fields of study 4+ years of hands-on experience in developing analytics with machine learning, deep learning, NLP, and/or other related modeling techniques 3+ years of experience using advanced data science tools such as Python, R, SQL, Spark and H2O 3+ years of experience managing analytical or data science resources 3+ years of experience wrangling large datasets with big data tools such as Hadoop, Hive and Spark 3+ years of experience developing and deploying analytic solutions using AWS/Azure/GCP Ability to travel up to 5% (approximately once or twice a year for onsite meetings) when business requires Full COVID-19 vaccination is an essential job function of this role. Candidates located in states that mandate COVID-19 booster doses must also comply with those state requirements. UnitedHealth Group will adhere to all federal, state and local regulations as well as all client requirements and will obtain necessary proof of vaccination, and boosters when applicable, prior to employment to ensure compliance. Candidates must be able to perform all essential job functions with or without reasonable accommodation
Preferred Qualifications:
Experience with health care data Experience with Databricks / Jupyter notebooks Experience with version control (for example Git Version Control system) Experience working in an agile environment UI design experience for automated and-or end-user-interactive visualizations (for example using Tableau, Power BI, R Shiny, Python Dash)
To protect the health and safety of our workforce, patients and communities we serve, UnitedHealth Group and its affiliate companies require all employees to disclose COVID-19 vaccination status prior to beginning employment. In addition, some roles and locations require full COVID-19 vaccination, including boosters, as an essential job function. UnitedHealth Group adheres to all federal, state and local COVID-19 vaccination regulations as well as all client COVID-19 vaccination requirements and will obtain the necessary information from candidates prior to employment to ensure compliance. Candidates must be able to perform all essential job functions with or without reasonable accommodation. Failure to meet the vaccination requirement may result in rescission of an employment offer or termination of employment.
Technology Careers with Optum. Information and technology have amazing power to transform the health care industry and improve people's lives. This is where it's happening. This is where you'll help solve the problems that have never been solved. We're freeing information so it can be used safely and securely wherever it's needed. We're creating the very best ideas that can most easily be put into action to help our clients improve the quality of care and lower costs for millions. This is where the best and the brightest work together to make positive change a reality. This is the place to do your life's best work.(sm)
Colorado, Connecticut or Nevada Residents Only: The salary range for Colorado residents is $97,300 to $176,900. The salary range for Connecticut / Nevada residents is $97,300 to $176,900. Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, UnitedHealth Group offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with UnitedHealth Group, you’ll find a far-reaching choice of benefits and incentives.
*All Telecommuters will be required to adhere to UnitedHealth Group’s Telecommuter Policy.
Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
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Lead Nlp Data Scientist | Humana |
Description
The Lead NLP Data Scientist leverages large sets of structured and unstructured data to develop tactical and strategic insights. The Lead NLP Data Scientist works on problems of diverse scope and complexity ranging from moderate to substantial.
Responsibilities
The Lead NLP Data Scientist:
Collaborates with analytic and data teams to set objectives, approaches, and work plans.
Researches and evaluates new analytical methodologies, approaches, and solutions.
Develops and validates statistical forecasting models and tools.
Interprets and communicates analytic results to analytical and non-analytical business partners and executive decision makers.
Advises executives to develop functional strategies (often segment specific) on matters of significance.
Exercises independent judgment and decision making on complex issues regarding job duties and related tasks, and works under minimal supervision.
Uses independent judgment requiring analysis of variable factors and determining the best course of action.
Required Qualifications
Bachelor's Degree in a quantitative discipline, such as Computer Science, Mathematics or Statistics and/or related field
8 or more years of professional experience leveraging large sets of structured and unstructured data to develop tactical and strategic insights
Experience developing natural language processing (NLP) models with the transformer architecture
Experience developing and validating statistical forecasting models and tools
Experience interpreting and communicating analytic results to analytical and non-analytical business partners and executive decision makers
Clear oral and written communication skills
Flexible, dynamic personality who works well in a team environment and is also able to lead individual contributors
Must be passionate about contributing to an organization focused on continuously improving consumer experiences
Preferred Qualifications
Master's degree or Ph.D. in a quantitative discipline, such as Computer Science, Mathematics or Statistics and/or related field
Healthcare or managed care experience
2 or more years of project leadership experience
Demonstrated experience with Python, Huggingface, Tensorflow, Pytorch, Spark or similar statistical tools
Experience performing data management, mining, and manipulation along with analytics
Additional Information
Humana and its subsidiaries require vaccinated associates who work outside of their home to submit proof of vaccination, including COVID-19 boosters. Associates who remain unvaccinated must either undergo weekly negative COVID testing OR wear a mask at all times while in a Humana facility or while working in the field.
#LI-Remote
Scheduled Weekly Hours
40
Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our https://www.humana.com/legal/accessibility-resources?source=Humana_Website.
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Lead Data Scientist People Analytics Strategy | Humana |
Description
The People Analytics team at Humana takes a customer centric approach to optimizing talent outcomes and improving the associate experience. We provide advanced analytic products and consulting to our Enterprise business leaders and HR centers of excellence. Our passion for improving the associate experience is supported through a strategy of a strong data infrastructure, analytic product development, and advanced data science capabilities.
Responsibilities
The Lead Data Scientist will enhance and mature the vision of People Analytics at Humana. The lead drives analytic value by working with business customers to identify and prioritize advanced analytic use cases. They will deliver analytic output, design and develop new measures and predictive models to influence and guide people strategy across the enterprise. The lead will collaborate and consult with executives in the business, set objectives, inform strategy, and execute on a customer-centric approach of delivery.
Responsibilities
The Lead Data Scientist develops, maintains, and collects structured and unstructured data sets for analysis and reporting.
Creates reports, projections, models, and presentations to support business strategy and tactics.
Works directly with senior executives to develop and drive segment or enterprise-wide functional strategies.
Advises one or more areas, programs or functions and provides recommendations to senior executives on matters of significance, and as an advanced subject matter expert is able to work at very high levels across multiple knowledge and functional areas across the enterprise.
Required Qualifications
Master's degree and 4 or more years of experience in data analytics
2 or more years project and/or people leadership experience
Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions
Advanced proficiency in programming languages like SQL, Python, R, SAS, SPSS, etc.
Innovative thinker who can provide strategic advice and guidance to functional teams
Develop, maintain, and collect structured and unstructured data sets for analysis and reporting
Create reports, projections, models, and presentations to support business strategy and tactics
Successful demonstrated experience in working with senior executives to develop and drive segment or enterprise-wide functional strategies
Ability to advise one or more areas, programs or functions, as well as work at very high levels in multiple knowledge and functional areas across the enterprise
Must be passionate about contributing to an organization focused on continuously improving consumer experiences
Preferred Qualifications
PhD in Industrial and Organizational Psychology or a related field
10 or more years of experience in organizational consulting
5 or more years of experience working with organizational surveys and related research methodologies
Advanced knowledge of organizational theory, employee behavior, and psychometrics
Experience with people systems and technologies
Additional Information
Vaccine Policy:
For this job, associates are required to be fully COVID vaccinated, including booster or undergo weekly COVID testing and wear a face covering while at work. The weekly testing will need to be done through an approved Humana vendor, and unvaccinated associates should follow all social distancing and masking protocols if they are required to come into a Humana facility or work outside of their home. We are a healthcare company committed to putting health and safety first for our members, patients, associates, and the communities we serve.
If progressed to offer, you will be required to: Provide proof of full vaccination, including booster or commit to testing protocols OR Provide proof of applicable exemption including any required supporting documentation. Medical, religious, state and remote-only work exemptions are available.
Work-At-Home Requirements:
WAH requirements: Must have the ability to provide a high speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.
A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.
Satellite and Wireless Internet service is NOT allowed for this role.
A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information
Why Humana?
At Humana, we know your well-being is important to you, and it's important to us too. That's why we're committed to making resources available to you that will enable you to become happier, healthier, and more productive in all areas of your life. Just to name a few:
Work-Life Balance
Generous PTO package
Health benefits effective day 1
Annual Incentive Plan
401K - Immediate company match
Well-being program
Paid Volunteer Time Off
Student Loan Refinancing
If you share our passion for helping people, we likely have the right place for you at Humana.
Social Security Task:
Alert: Humana values personal identity protection. Please be aware that applicants being considered for an interview will be asked to provide a social security number, if it is not already on file. When required, an email will be sent from [email protected] with instructions to add the information into the application at Humana's secure website.
Interview Format:
As part of our hiring process for this opportunity, we will be using an exciting interviewing technology called Modern Hire to enhance our hiring and decision-making ability. Modern Hire allows us to quickly connect and gain valuable information for you pertaining to your relevant skills and experience at a time that is best for your schedule.
If you are selected for a first round interview, you will receive an email correspondence inviting you to participate in a Modern Hire interview. In this interview, you will receive a set of interview questions over your phone and you will provide recorded or text message responses to each question. You should anticipate this interview to take about 15 minutes. Your recorded interview will be reviewed, and you will subsequently be informed if you will be moving forward to next round of interviews.
Scheduled Weekly Hours
40
Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our https://www.humana.com/legal/accessibility-resources?source=Humana_Website.
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Lead Data Scientist Ai Ml | Humana |
Description
The role is within High Value Project team within Enterprise AI group. The team is focused on bringing the power of AI and ML to high value business problems, supporting 2-4 such initiatives at a given time. Lead Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions to support these high impact initiatives.
Responsibilities
Lead Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (AI /ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). They help identify and prioritize the highest value applications for machine learning and do what it takes to make them successful. They plan and execute the necessary AI/ML-driven process changes and initiatives necessary to deliver a complete solution to a stated business problem.
Will own key initiatives & deliverables especially in Data Science application development & deployment in cloud-based environments.
Key responsibilities:
Own the development and delivery of data science models and solution
Act as an 'external facing' business translator whose combined expertise in technology and AI enable the development of custom solutions
Partner with project and product managers to design and deliver a solution to meet a business need
Collaborate with project and product managers to monitor the business impacts of deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency
Contributes to the Analytics community's sharing of best practices
Help internal customers think through and clearly articulate business problems/needs and architects data science solutions
Required Qualifications
3+ years expert knowledge of Artificial Intelligence/Machine Learning models development, business plan implementation and ongoing scale/evolution management
Bachelor's degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)
Ability to leverage technology (e.g., SQL) to extract and manipulate data
Working knowledge and experience in statistical analysis packages Python, R
Build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope, and delivery time frames, driving on-time execution
Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner
Excellent interpersonal, verbal and written communication skills
Ability to operate in both strategic and tactical environments, accommodating for global-level needs
Preferred Qualifications
Advanced degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)
Ability to analyzing, designing, and implementing large scale business and performance management solutions
Experience with Consumer Analytics
Additional Information
Vaccine Policy:
For this job, associates are required to be fully COVID vaccinated, including booster or undergo weekly COVID testing and wear a face covering while at work. The weekly testing will need to be done through an approved Humana vendor, and unvaccinated associates should follow all social distancing and masking protocols if they are required to come into a Humana facility or work outside of their home. We are a healthcare company committed to putting health and safety first for our members, patients, associates, and the communities we serve.
If progressed to offer, you will be required to: Provide proof of full vaccination, including booster or commit to testing protocols OR Provide proof of applicable exemption including any required supporting documentation. Medical, religious, state and remote-only work exemptions are available.
Work-At-Home Requirements:
WAH requirements: Must have the ability to provide a high speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.
A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.
Satellite and Wireless Internet service is NOT allowed for this role.
A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information
Why Humana? You'll experience the following perks as a full-time Humana employee:
Compensation and Financial Security - Our pay philosophy is designed to motivate and reward associates for their skills and contributions to the company. We provide options to help you plan for your future and protect your assets: Competitive base pay, Recognition pay, 401(k) retirement savings plan (125% match for the first 6% contributed by an associate), etc.
Your Whole Health - Humana's health products and services are designed to encourage personal wellness and smart healthcare decisions for you and your family: Medical, dental, and vision benefits, Health plan incentives, Paternity leave, etc.
Work Perks - Humana knows your life extends outside of work. We have many options to support your interests and needs. Some departments have the flexibility to allow associates to work from home, and we offer all associates: Paid time off, holidays, volunteer time, jury duty pay, Associate charity matching program, Discount programs with major retailers, etc.
Grow With Us - Humana provides growth and career opportunities that can help you develop your skills and build your future with the organization: Internal and external learning events, Tuition assistance, Inclusion and diversity training, etc.
Social Security Task:
Alert: Humana values personal identity protection. Please be aware that applicants being considered for an interview will be asked to provide a social security number, if it is not already on file. When required, an email will be sent from [email protected] with instructions to add the information into the application at Humana's secure website.
Interview Format:
As part of our hiring process for this opportunity, we will be using an exciting interviewing technology called Modern Hire to enhance our hiring and decision-making ability. Modern Hire allows us to quickly connect and gain valuable information for you pertaining to your relevant skills and experience at a time that is best for your schedule.
If you are selected for a first round interview, you will receive an email correspondence inviting you to participate in a Modern Hire Text interview. In this interview, you will receive a set of interview questions via text. You should anticipate this interview to take about 15 minutes. Your recorded interview will be reviewed, and you will subsequently be informed if you will be moving forward to next round of interviews.
Scheduled Weekly Hours
40
Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our https://www.humana.com/legal/accessibility-resources?source=Humana_Website.
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Senior Data Scientist | Humana |
Description
Humana's Clinical Analytics and Trend (CAT) Team is seeking a Senior Data Scientist (Remote).
Healthcare is rapidly changing, and our members are living longer, often with more chronic conditions. The Clinical Analytics & Trend team (CAT) identifies clinical saving opportunities and enables clinical solutions through an evidence-based approach using data science, clinical and business expertise, and rigorous study designs to improve health outcomes and lower costs for millions of senior lives. In this multi-disciplinary team, you'll have the opportunity to work closely with decision-marking executives and clinicians to shape Humana's enterprise clinical strategies and initiatives.
The Senior Data Scientist uses statistics, machine learning, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientists' work assignments involve moderately complex to complex issues where the analysis of situations and data requires an in-depth evaluation of variable factors. The Senior Data Scientist uses statistical and machine learning methods to develop sophisticated models based on large structured and unstructured data set, exercises considerable latitude in determining objectives and approaches to assignments while collaborating closely with clinicians and subject matter experts.
Responsibilities
Responsibilities
As a Senior Data Scientist, you will:
Leverage a wide range of analytics methods ranging from descriptive to prescriptive to transform high volumes of complex data into analytics solutions and actional insights
Work directly with aligned business partners in requirements definition, project scoping, study design, timeline management, results documentation, and maintain effective and professional working relationship
Leverage your curiosity, clinician partnerships, and Humana's data to define and quantify the root causes of poor clinical outcomes
Collaborate with multiple cross-functional teams to identify operational barriers and issues, and facilitate their resolution
Create reusable implementations of statistical tests and machine learning models using the available technologies in Humana's data ecosystem
Required Qualifications
Master's or PhD Degree in a quantitative discipline such as Epidemiology, Economics, Statistics, Data Science, Clinical Informatics, and/or related fields. Clinical degrees also preferred
Experience manipulating and analyzing various types of data using Python, SAS, R, or similar software
Experience using mathematics, statistics, modeling, experimental study design, and technology to transform high volumes of complex data into advanced analytic solutions
Demonstrated ability to assess the impact of clinical interventions on healthcare resource utilization and/or clinical indicators
History of solving problems, creating solutions and driving change within a team
Demonstrated strategic and analytical thinking
Ability to make decisions on moderately complex to complex issues regarding technical approach for project components
Clear and concise oral and written communication skills, with a proven ability to translate complex methodologies and analytical results to higher-level business insights and key takeaways
3 years of professional experience leveraging structured and unstructured healthcare data
Preferred Qualifications
Strong business acumen, including a deep understanding of healthcare payer economics
Experience working with medical, Rx, lab claims to extract clinical information for analytics and modeling purposes
Experience in Big Data environment specifically PySpark, Scala, or Microsoft Azure
Demonstrated familiarity with clinical concepts related to a broad range of clinical conditions and disease states - experience with oncology, behavioral health and chronic conditions would be particularly valuable
Demonstrated familiarity with observational study design and techniques such as retrospective cohorts, cross sectional, propensity score matching, difference-in-differences, etc.
Demonstrated familiarity with statistical tools such as variable selection and supervised/unsupervised ML
Work experience in a health care, health insurance, or consulting setting
Experience working with EMR data
Experience with clinical claims Episode Treatment Groupers
Scheduled Weekly Hours
40
Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our https://www.humana.com/legal/accessibility-resources?source=Humana_Website.
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Data Scientist | Design Pickle |
About This Role
Hello prospective pickle! Design Pickle is looking for an experienced Data Scientist to join our team and help us develop new ways to inspire our customers and streamline processes for our global network of creatives.
The ideal candidate will be able to create efficient, flexible, extensible, and scalable data models, ETL designs and data integration services. They will also be required to support and manage growth of these data solutions. Given our aspirational vision, to be the most helpful creative platform in the world, and the nature of our products, this role requires entrepreneurial drive and thinking, comfort with ambiguity, and ability to break down and solve complex problems.
If you have ever wanted to make a significant contribution and help shape the trajectory of a startup, this role is for you!
Reports to: Director of Data Science & Analytics
On a daily basis, works closely with Engineering, Product Management, Product Marketing and Global Operations.
Location: Design Pickle is a fully remote company with a Company Hub in Scottsdale, Arizona.
Who We Are Looking For
First, Design Pickle is anything but typical. We’re a group of hard-working, creativity-loving individuals from around the world.
Do we love pickles, too? Most of us! But don’t stress if pickles aren’t your thing. It’s not a deal-breaker. We do look for a passion and interest in something though because our employees’ uniqueness is what helped make us the great company we are today.
We stand by our vision, purpose, and values, and these are mission-critical to how you show up every single day.
Specific to your role, we’re looking for individuals who have...
Proficiency in one of the following languages: Python, Java, R, C/C++
Proven track record in MLOPS, including designing and implementing machine learning and deep learning algorithms, ideally using tools and libraries such as pytroch, tensorflow, PySpark.
Experience in natural language processing or computer vision using deep learning models is a plus.
Excellent communication skills.
Proficient with SQL database.
Hands-on experience with a large scale NoSQL (i.e. MongoDB, Neo4j, AWS S3, etc.) storage solution is a plus.
Proficient in Computer Science fundamentals such as data structures, algorithm design, and complexity analysis.
Experience with both batch and streaming analytics architectures.
Experience with big data analytics tools such as Hadoop and/or Spark is a plus.
Detail oriented and strong interpersonal skills.
MS in Computer Science, Artificial Intelligence, Machine Learning, Data Science or related field. Or 3+ years of equivalent experience.
Bonus Pickle Points:
BA/BS in Computer Science or related field or equivalent experience
Experience working with AWS services - S3, Redshift, ML
Experience working with and building reports using tools like PowerBI, Tableau
Experience working autonomously in global teams.
Experience influencing critical decisions with data.
Key Objectives and Responsibilities
Conduct cutting-edge research and development of novel machine and deep learning models that promote and advance Design Pickle business objectives.
Apply your expertise in advanced analytics, data mining, and presentation of data to facilitate senior leadership decision-making to produce better products and customer experience.
Build and maintain high quality Business Intelligence (BI) tools that provide reports, dashboards and metrics to better inform current and future business trends.
Apply MLOPS framework to manage development of data resources, gather requirements, organize sources, and support launches while keeping the team focused on engineering and operational excellence.
Partner with Senior Leadership, Product, Engineering, and Global Operations teams to solve problems and identify opportunities and areas of improvement.
Benefits, Compensation, and Perks
Uncapped PTO: Hate seeing your PTO hours decrease as the year goes on? Not anymore! There is no cap or number associated with the amount of PTO days you can request.
Major medical healthcare: We major medical plans through United Healthcare which is managed seamlessly through Employee Navigator
Dental and vision insurance: We work with Beam Dental and VSP for ancillary coverage.
Remote-work flexibility: More productive at home? Not based in Scottsdale, AZ? Fine with us! We are a remote-first company with people all over the country.
401K: Plan for your future with a 401K, managed by Securian Financial, with a 3% company match.
World-class Company Hub: More productive in an office? Also, fine with us! Our Company Hub is set up with state-of-the-art standing desks, high-definition monitors, breakout rooms for meetings and calls, a podcast studio, a relaxation room, a merch wall, and a cold plunge! ….yes, we said a cold plunge.
In-office gym: Our Company Hub also has a small CrossFit-style gym with Peloton studio available for any pickles to use!
Life-changing massage chair: We change lives through creativity...and massages. Our team has traveled far and wide to take advantage of a life-changing massage chair that is housed in our Company Hub. One massage is all it will take to radically transform your life.
New parent leave: Design Pickle encourages all primary caregivers to take up to 8 weeks leave for a new family member, including adoption, at full salary.
Paid training and personal development: We offer a yearly stipend for employees to continue to grow their skillset and learn things to help them in their careers.
Pet insurance: Have a furry friend? Design Pickle offers pet insurance through United Pet Care for discounted vet visits, medication, and procedures.
Team retreats, social events, and adventures: Pickle collaboration is important to us! We host regular social events, get-togethers, and experiences for our staff.
About Design Pickle
Design Pickle was founded in 2015 with a vision to change lives through its creative software, solutions, and services. Since then, the company has grown to be the #1 flat-rate creative services company in the world. We have served tens of thousands of clients with a team that spans the globe.
In 2019, 2020, 2021 and 2022, Inc. 5000 listed Design Pickle as one of the fastest-growing companies in America.
We are a company that takes our core values to heart:
Be the SPARK
Let your fire and passion inspire someone else’s day.
DRIVE Performance
Seek out new ways to improve performance, satisfaction, and impact for our customers. Less is more rules supreme.
Give it to me STRAIGHT
Lead with radical and professional candor in every situation. Graciously accept when others do the same. Move forward together and aligned.
HELP when nobody's watching
Find opportunities to support each other and our clients beyond the day-to-day.
Lean into HARD
We thoughtfully select our challenges and tenaciously commit to conquering them.
Make your own PICKLES
We are a collection of incredible individuals who challenge ourselves and each other to grow. Change is celebrated as a sign of progress.
You can learn more about our company, our vision, and what we stand for on our website and social channels. We can’t wait to meet you—thank you in advance for your application!
Design Pickle is an Equal Opportunity Employer. You will often hear members of the Design Pickle team refer to themselves as “pickles”. Pickles come in an infinite amount of variety, and as such, the pickles at Design Pickle celebrate every aspect of our diverse workforce and do not tolerate discrimination on the basis of race, color, religion, marital status, age, nationality, (dis)ability, gender, gender expression, or sexual orientation.
All employment decisions are made on the basis of qualifications, merit, and business need. The right pickle for the right opportunity. Design Pickle is an Equal Opportunity Employer.
Notice to Staffing and Recruiting Agencies
Design Pickle will not accept resumes from any source other than the candidate. Any unsolicited resume sent to Design Pickle will be considered Design Pickle sourced.
PM21
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Data Scientist Lead | Usaa D6C0A504 9A2D 4Ed1 918C De8351A1F373 |
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.
Data Scientist Lead uses sophisticated techniques that integrate traditional and non-traditional datasets to enable analytical solutions. Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; Builds analytical solutions improving internal and external applications to deliver value and build competitive advantage; Leads initiatives and influences system architecture to enable automated intelligent solutions. Translates sophisticated analytical and technical concepts to senior management to enable business decisions; Maintains relationships with academic and industry leaders with vision to ensure enterprise has access to groundbreaking thinking and technologies.
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, Phoenix, AZ, Tampa, FL, Charlotte, NC. Remote Opportunity is available for this role.
Job Requirements
Identifies and leads existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, supervised, and controlled.Follows written risk and compliance policies, standards, and procedures for business activities.Partners with business leaders across the organization to assess business needs, define business problems and develop a research agenda; leads cross functional, matrixed teams to solve highly sophisticated work critical to the organization.Designs and builds large and sophisticated information sets; Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.Leads and conducts sophisticated analytics demonstrating predictive modeling, machine learning, simulation, optimization, and other techniques to deliver insights or develop analytical solutions to achieve business objectives.Leads efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.Builds and maintains a robust library of reusable algorithms and supporting code, such that research efforts are based on the highest quality data, are transparently conducted, and can be productionized and are reproducible.Provides mentorship regarding analytical approach and iteration of algorithms to team members.Translates sophisticated analytical and technical concepts to senior management and non-technical employees to enable understanding and drive informed business decisions.Develops and maintains academic and industry relationships for the purposes of research; interacts with internal and external peers and management to maintain expertise and awareness of groundbreaking techniques, technologies, and potential business solutions.
Minimum Qualifications:
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.8 years in predictive modeling, large data analysis and computer science.Experience in stochastic modeling, machine learning, and other sophisticated mathematical techniques (e.g., neural nets, simulation, graph analysis).Expert in at least one compiled language (e.g., Java, C or more) and one dynamic scripting language (Python, PERL, Ruby).A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent).Extensive background in data mining and statistical analysis.Excellent pattern recognition and predictive modeling skills.Knowledge and application of Data Science principals and experience with data science methodologies.Experience with the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.Extensive technical skills, consulting experience, and business savvy to collaborate with all levels and fields within our customers’ organization.Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science.
Preferred Qualifications:
Excellent technical skills, including proficiency in tools such as Gitlab/Github/csv/svn as a version control tool, proficiency in packages such as pip/pipenv/poetry/conda for environment management, and proficiency in packages such as airflow/luigi for workflow management4+ years of experience applying key concepts in computer science, software engineering, algorithms, computing, and statistics to problem solving4+ years of proven experience or background in financial markets, consumer financial behavior, macroeconomics, or deposits products4+ years in demonstrating ability, flexibility, and creativity in solving open questions and unsolved problems in analytics and data science
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: $135,200 – $243,500.
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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Director Modeling Analytics Commercial Lines | Usaa |
Purpose of Job
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.
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.
Effectively manages and leads a team that develops and analyzes data to predict business results or member behavior. Technically proficient in statistics, mathematics, and tools used in predictive modeling. Partners cross-functionally with business to deliver breakthrough analytical solutions to support a winning strategy in a continually changing business environment.
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.Builds and manages a strong modeling analytics team.Establishes performance objectives and provides ongoing feedback and coaching.Frequently interacts with business partners to identify opportunities for predictive analytics to drive business strategy and results forward.Delivers insight to senior leadership on a regular basis.Lead the development, enhancement and implementation of statistical and other quantitative models to support loss prediction, assess member value, predict member behavior or financial performance and other business applications.Full ownership of the model development process and relationship with the business customer: from conceptualization through data exploration, model selection and validation, implementation, business user training and support.Develops and provides subject matter expertise on the current and emerging predictive modeling techniques for various areas within the financial services industry.Monitors and understands emerging technology that can affect modeling and potential business risk.Educates and coaches peers and business partners to leverage predictive analytical solutions.Coordinates with legal counsel to ensure regulatory compliance regarding model design and the acquisition and usage of data for segmentation and modeling purposes.
Minimum Requirements:
Bachelor’s degree in Statistics, Economics, Engineering, Mathematics, Actuarial Sciences or related field; OR 4 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.8 years of experience in statistical analysis and model development; or if Advanced degree in Statistics, Economics, Engineering, Mathematics, Actuarial Sciences or related field then 6 years progressive data modeling experience.3 years of team lead or management experience required.Expert knowledge of key econometric and statistical techniques (predictive modeling, logistic regression, survival analysis, design of experiments, decision trees, data mining methods, and other advanced statistical and econometric techniques).Knowledgeable in Data Modeling and Data warehouse concepts.Experience in data modeling (dimensional and other techniques using modeling tools) along with transactional systems, data warehouses and data marts.Proficiency with design, conceptual, logical and physical data models.
Preferred Experience:
Lead the technical design & development for proprietary pricing algorithms.Perform of non-traditional models and data (including vendors).Lead Analytic Data Consumption efforts.Lead actuarial strategy for third-party data.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: $117,600 - $211,700* (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.
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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Lead Advanced Analytics Consumer Insights | Airbnb |
Airbnb is a mission-driven company dedicated to helping create a world where anyone can belong anywhere. It takes a unified team committed to our core values to achieve this goal. Airbnb's various functions embody the company's innovative spirit and our fast-moving team is committed to leading as a 21st century company.
The Location
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. Airbnb,Inc. can employ in states where we have registered entities. Currently, employees can not be located in: Alaska, Indiana, Nebraska, North Dakota, Ohio, South Dakota, Wisconsin, Alabama, Mississippi, Oklahoma, Delaware and Rhode Island. This list is continuously evolving and being updated, please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
Role Summary
We are looking for a senior Analytics expert to partner with the Consumer Insights team (CI). The CI team empowers Airbnb leadership with forward looking insights and research about consumer trends, the travel industry, Airbnb products, the needs of our current & prospective guests & Hosts, and beyond. We primarily use first and third party sources external to Airbnb so we can help the company skate to where the puck is going.
Role Responsibilities
Data thought partner to the Consumer Insights team through proactive analyses and insights and using internal data to inform research methodologies.
Drive day to day analytics to empower the Consumer Insights team
Develop a deep understanding of how guests and hosts interact with our product using internal Airbnb data and proactively drive analyses in partnership with the CI team.
Empower the team to answer data questions quickly and easily by building high-quality ground truth data sets and dashboards. Collaborate with Analytics Engineering to build data tools for mass consumptions within Airbnb.
Able to conduct analysis using advanced techniques when needed (statistical data analysis such as linear models, multivariate analysis, sampling methods, and causal inference)
Partner with researchers to design, execute and analyze surveys, with a particular focus on sampling methodology and statistical analyses of survey results.
Contribute towards advancing the Analytics disciplines at Airbnb, including driving data best practices such as improving and automating analytical processes, building new data tools and data sets, data education around the company and mentoring and developing others.
Role Qualifications:
5+ years in industry experience and a degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).
Expert communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment. Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences
Experience with data visualization and building dashboards (e.g. Tableau, Superset)
Experience in A|B experiments, statistical data analysis such as linear models, multivariate analysis, sampling methods, and causal inference
Experience with survey design and sampling methodologies preferred
Experience with consumer research preferred
Strong knowledge in at least one programming language (Python or R) and in SQL
The Pay
Our job titles may span more than one career level. The starting base pay for this role is between $144,000 and $194,000. The actual base pay is dependent upon many factors, such as: education, experience, and skills. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Belonging & Accommodation
Airbnb is committed to working with the best and brightest people from the broadest talent pool possible. We believe a diversity of ideas fosters innovation and engagement, and allows us to attract the best people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. If you need assistance, or a reasonable accommodation during the application and recruiting process, please contact us at: [email protected].
Apply now
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Principal Data Scientist Allstate Innovation | Allstate |
The world isn’t standing still, and neither is Allstate. We’re moving quickly, looking across our businesses and brands and taking bold steps to better serve customers’ evolving needs. That’s why now is an exciting time to join our team. You’ll have opportunities to take risks, challenge the status quo and shape the future for the greater good.
You’ll do all this in an environment of excellence and the highest ethical standards – a place where values such as integrity, inclusive diversity and accountability are paramount. We empower every employee to lead, drive change and give back where they work and live. Our people are our greatest strength, and we work as one team in service of our customers and communities.
Everything we do at Allstate is driven by a shared purpose: to protect people from life’s uncertainties so they can realize their hopes and dreams. For more than 89 years we’ve thrived by staying a step ahead of whatever’s coming next – to give customers peace of mind no matter what changes they face. We acted with conviction to advocate for seat belts, air bags and graduated driving laws. We help give survivors of domestic violence a voice through financial empowerment. We’ve been an industry leader in pricing sophistication, telematics, digital photo claims and, more recently, device and identity protection. We are the Good Hands. We don’t follow the trends. We set them.
Job Summary:
The Allstate Innovation team helps drive Allstate’s future by identifying compelling business opportunities, developing selected opportunities into thriving businesses, and assisting Allstate businesses with meeting their innovation objectives. We bring together skills in strategy, design, technology, and data science to create new products and businesses. And as Allstate’s corporate innovation team, we focus on high-impact, future-facing enterprise priorities.
The Allstate Innovation team is looking for a Principal Data Scientist to help define and drive innovative new opportunities for Allstate, focusing on emerging technologies, fast-growing startup market spaces, and highly impactful consumer problems. Examples of Allstate’s innovation successes in the past five years include:
Exploration of AI risk assessment technologies that resulted in a new B2B big data venture, Arity – a startup with the backing of a Fortune 100 company
Exploration of emerging device (e.g. smart phone) protection space that resulted in $1.4B acquisition of SquareTrade Inc.
Exploration of digital protection space that resulted in $525M acquisition of identity protection company InfoArmor Inc.
Exploration of peer-to-peer space that resulted in a new P2P car sharing venture, Avail – a startup with the backing of a Fortune 100 company
Job Summary (cont.)
As a Principal Data Scientist, you will help our team identify, drive, and lead Allstate’s next big innovation. Innovation projects typically feature cross-functional teams with expertise in Business Strategy, Product, Technology, and Design. We work in a variety of different spaces, industries, and emerging technology areas. Example areas of exploration include: Web 3.0 (de-centralized Internet/blockchain), Internet of Things/smart home, future of automotive (EVs, autonomous vehicles), climate risks, and the consumer data economy.
The Principal Data Scientist role will be responsible for leading the analytical efforts for innovation programs, partnering with business and product functions to help define the right analytical approaches to solving business problems. These approaches will include the development and execution of exploratory data analyses and advanced predictive models, algorithms, knowledge graphs, and machine learning techniques using structured and unstructured data, and the role will be a key person in defining what data will be needed, how it will be collected, and how it will be managed.
These efforts will require an experienced person accustomed to translating complex analyses into key insights for data-driven decision making and effective communication of the results. This person will also be the key interface with other data analytics organizations within and outside the enterprise on larger initiatives. Over time, the role can grow into management of a small team of more junior data science specialists to execute the programs and will be responsible for their career growth and success.
Job Qualifications
An undergraduate degree in a quantitative or technical field such mathematics, finance, economics, computer science, or engineering. A Masters or Ph.D. degree in a relevant discipline is strongly preferred.
10+ years of experience in roles relevant to data analytics, machine learning techniques, and data visualization approaches are key to being successful in this role.
Experience with climate modeling including direct ties to the climate community and thorough understanding of the modeling successes and shortcomings over the decades.
Strong proficiency in statistical techniques for exploratory, predictive, and causal analytics with experience in applying them to solve business problems for large-scale programs.
Excellent programming skills in some rapid prototyping environments such as Python and R.
Experience with parallel computing in frameworks like Spark and Dask.
Knowledge and experience in development of models and algorithms, including machine learning-based approaches, using common industry tools and libraries such as PyTorch and Tensorflow.
Job Qualifications (cont.):
Experience in Extract Transform and Load (ETL) processing large datasets of different forms including structured, semi-structured and unstructured data
Proficient in SQL and database management, both relational and big-data platforms.
Experience using data visualization tools such as Tableau and graphic representation of complex data.
Experience with property insurance analytics/pricing is a plus.
Notes:
The preceding description is not designed to be a complete list of all duties and responsibilities. May be required to perform other related duties as assigned. Regular, predictable attendance is an essential function of this job.
Compensation offered for this role is The salary range for the role is $150,000-$195,000+Bonus. Offer will be commensurate with experience and is based on experience and qualifications.
The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.
Good Work. Good Life. Good Hands®.
As a Fortune 100 company and industry leader, we provide a competitive salary – but that’s just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, you’ll have access to a wide variety of programs to help you balance your work and personal life — including a generous paid time off policy. For a full description of Allstate’s benefits, visit allstate.jobs/benefits/
Learn more about life at Allstate. Connect with us on Twitter, Facebook, Instagram and LinkedIn or watch a video.
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee’s terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.
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Data Scientist Logistics | 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. Plus, Allstate is changing how, when, and where we work-to lead us boldly into our future. We’re empowering our employees to create better ways of working through more intentional use of communication and collaboration practices, processes and tools.
Everything we do at Allstate is driven by a shared purpose: to protect people from life’s uncertainties so they can realize their hopes and dreams. For more than 89 years we’ve thrived by staying a step ahead of whatever’s coming next – to give customers peace of mind no matter what changes they face. We acted with conviction to advocate for seat belts, air bags and graduated driving laws. We help give survivors of domestic violence a voice through financial empowerment. We’ve been an industry leader in pricing sophistication, telematics, digital photo claims and, more recently, device and identity protection. We are the Good Hands. We don’t follow the trends. We set them.
Job Summary:
The Data Science team at Allstate Roadside maximizes the marketplace efficiency of our services though influencing the supply and demand of rescues and rescue providers in real time. This involves developing a fundamental understanding of the rescuer behavior in a rapidly changing market, creating dynamic pricing strategies that can influence the supply of rescue providers in an area that is seeing a surge in demand. This ensures our customers enjoy the highest customer service while our rescue providers are able to maximize their earnings.
This Data Scientist/Machine Learning Engineer Python role is responsible for leading the use of data to make decisions. This includes: the development and execution of new machine learning predictive modeling algorithms, the coding/development of tools that use machine learning/predictive modeling to make business decisions, searching for and integrating new data (both internal and external) that improves our modeling and machine learning results (and ultimately our decisions), and discovery of solutions to business problems that can be solved through the use of machine learning/predictive modeling.
Key Responsibilities:
Work on optimizing real time dispatch systems and build scalable solutions to solve challenging problems.
Contribute to entire life cycle of machine learning models from ideation to deployment , monitoring and retraining.
Work on variety of data sets in a cloud analytics environment, crunching millions of samples in creative ways to discover new insights and operationalize powerful solutions
Collaborate with engineering teams to design and implement software solutions for data science problems.
Understand ambiguous business problems and convert them into data science solutions ie create insights, decisions, white papers and models.
Develop deep understanding of the business. Research solutions to recommend strategies that impact key organization metrics. Learn quickly and adapt to changing business needs
Qualifications
Degree in a quantitative field such as statistics, mathematics, computer science, finance.
Master’s or PhD, preferred, with 2 or more years of experience.
Bachelors and 5 or more years of experience.
Hands-on experience in implementing, maintaining, and running machine learning models in production in Python.
Experience using SQL to pull data.
Experience working with ML frameworks such as SkLearn, XGBoost, and Tensorflow.
Previous work doing Big Data Processing using Spark a plus.
Experience designing experiments and ability to infer causal relationships a plus.
Experience with operations research a plus.
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.
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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Arity Data Scientist Intern | Allstate |
Founded by The Allstate Corporation in 2016, Arity is a data and analytics company focused on improving transportation. We collect and analyze enormous amounts of data, using predictive analytics to build solutions with a single goal in mind: to make transportation smarter, safer and more useful for everyone.
At the heart of that mission are the people that work here—the dreamers, doers and difference-makers that call this place home. As part of that team, your work will showcase both your intelligence and your creativity as you tackle real problems and put your talents towards transforming transportation.
That’s because at Arity, we believe work and life shouldn’t be at odds with one another. After all, we know that your unique qualities give you a unique perspective. We don’t just want you to see yourself here. We want you to be yourself here.
The Analytics Team
At Arity, our Data Science team is at the core of helping us transform mobility. We not only know how to analyze and find meaning within billions of miles of driving data collected from smartphones, onboard devices and third parties; we are passionate about how it affects the end-users of our products. On our team people get the opportunity to build scalable distributed data pipelines, develop and deploy an array of machine learning algorithms, and create eye-opening data visualizations. We find top talent from various quantitative disciplines to collaborate with product owners, software engineers, and experience designers in development teams to create innovative products to make transportation smarter, safer, and more useful for everyone.
Job Description
This is a Summer 2023 internship for students currently enrolled in a degree program. This role is responsible for the use and development of data infrastructure projects and proof of concept business solutions for users in Analytics and Data Science. This person partners with Data Scientists and Analytic Engineers to provide tactical solutions. This is a highly dynamic position that requires a great degree of flexibility, analytic agility and the ability to rapidly adapt to changing business requirements/needs, new technologies and data sources. This role requires close integration and partnership with the business and Data Science team, and requires business acumen in order to output the best technical solutions.
Uses best practices, with limited coaching, to develop machine learning and computer vision techniques to build models that address business needs
Utilizes effective project planning techniques to break down basic and occasionally moderately complex projects into tasks and ensure deadlines are kept
Uses and learns a wide variety of tools and languages to achieve results (e.g., R, Python, Spark, SQL)
Collaborates with the team in order to improve the effectiveness of business decisions through the use of data and machine learning/predictive modeling
Innovates on projects by using new modeling techniques, computer vision techniques or tools
Executes on modeling/machine learning projects effectively
Reviews and evaluates on appropriateness of techniques, given current modeling practices, to senior leadership
Job Qualifications
Target Start date: May/June 2023
Currently pursuing a degree in a quantitative field (e.g. mathematics, statistics, computer or physical science)
Pursuit of a graduate degree strongly preferred
Ability to solve problems, think critically, and communicate clearly
Knowledge of statistical modeling, machine learning, mathematical optimization, and/or data mining
Experience with programming
An understanding of algorithmic scaling and complexity a plus
Experience with big-data tools (Ex. Spark) a plus
That’s the day-to-day, now let’s talk about the rest of it. As we mentioned, Arity was founded by The Allstate Corporation. But you’ll be working for—and at—Arity. It’s the best of both worlds. You’ll get access to the full suite of Allstate benefits and work in a fast-paced startup culture. That’s more than just free breakfasts and brain breaks. It’s a culture that encourages you to be you.
Sound like a fit? Apply now! We can’t wait to meet you.
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Principal Data Scientist | Zillow |
About the team
Zillow Group’s mission is to give people the power to unlock life's next chapter. As part of the Growth Data science, you will be an integral partner to Zillow’s Growth Product team which has a mission to Acquire and Activate high-quality users for Zillow group brands. The Growth product team is an impactful ensemble of multiple key business functions including Search Engine Optimization, Integrated communications, Authorization, Activation, and Onsite Messaging platform that acquire and engage millions of users across our platforms.Our Data Science team is tasked with absorbing millions, sometimes billions, of rows of data from various sources, organizing them, analyzing them, and visualizing them to help advise both short and long-term decision-making. Our structure is very flat and you will soon find yourself partnering directly with Senior Leadership.
About the role
We strive to predict our customer’s needs at various stages of their real estate journey and serve customized messaging across multiple customer tocuchpoints about our product offerings. The Data Scientist in this role will partner with product teams to implement an experimentation framework and measurement strategy to uncover deep insights about the customer funnel through multivariate testing and advanced analytics. They will measure the success of messaging and product offering upsells, and use this data to influence business strategy and build product roadmaps.
More specifically, this role will require:
Expertise in applied statistics skills, such as hypothesis testing, experimental design, power analysis and experiment evaluationProven experience with reinforcement learning techniques in experimentation and multivariate testing; and outlining and evaluating intrinsic and extrinsic metrics for model performance aligned with business goalsKnowledge of and/or experience in bayesian methods and probabilistic modelsAbility to understand various data structures and common methods in data transformation.Ability to influence and form a close partnership with cross-functional teams of engineers, marketers, user researchers, product owners, designers and business decision makers who are passionate about driving our customer’s success Embracing and supporting deployment of standardization and automation throughout program cyclesBe hands-on in technical feature development, design and code-reviews, prototyping and deployment to productionResearch and pioneer the adoption and use of new technologies within Zillow.
This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in any of the 50 US States, with limited exceptions. In certain cases, an employee in a remote-designated job may need to live in a specific region or time zone to support customers or clients as part of their role.In Colorado, Connecticut, Nevada and New York City the standard base pay range for this role is $161,700.00 - $258,300.00 Annually. This base pay range is specific to Colorado, Connecticut, Nevada and New York City and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location.
Who you are
At Zillow, we are a group of curious and ambitious problem solvers passionate about all things real estate, and we hope you'd be excited to help consumers make one of the biggest decisions of their lives. Help us guide our business into the future with powerful insights and recommendations! We're seeking a data scientist with the following qualifications:
A Ph.D or Master's degree in a quantitative field (e.g. science, engineering, economics, quantitative finance, operations research, statistics, or similar)8+ years of work experience involving quantitative data analysis, experimentation and complex problem-solving. Proficiency in SQL, and either Python or R, along with some experience with Tableau, Mode, or other visualization softwareSuperb verbal and written communication skills with the ability to distill sophisticated issues and detailed analysis into simple, structured frameworks with concrete action plansAble to work cross-functionally and influence business partners to set realistic goals and focus on data-driven solutions
Get to know us
Zillow is reimagining real estate to make it easier to unlock life’s next chapter.
As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do is helping people move from dreaming to transacting — and no matter what job you're in, you will play a critical role in making this vision a reality.
Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, a fundamental commitment to Equity and Belonging, and world-class benefits. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For in 2022 list, Glassdoor Employees’ Choice Award, honoring the Best Places to Work in 2022, Bloomberg Gender-Equality Index 2022, Human Rights Campaign (HRC) Corporate Equity Index and Best Place to Work for LGBTQ Equality 2022, and TIME 100 Most Influential Companies list.
Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact us at [email protected].
Applicants who receive job offers from Zillow Group will be asked to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at Zillow Group and wish to review a copy of the Proprietary Rights Agreement prior to receiving an offer, you may request a copy from your Recruiter.
See what information we collect about you.
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Senior Applied Scientist | Zillow |
About the team
Zillow Group’s mission is to give people the power to unlock life's next chapter. The Customer Conversion AI team builds models that enable smarter products and deliver strategic insights that help customers transition from browsing to successfully buying or selling a home.Zillow, the top real estate website in the U.S., is building an on-demand real estate experience. Whether selling, buying, renting or financing, customers can turn to Zillow to find and get into their next home with speed, certainty and ease.
About the role
This role will employ a broad variety of data science and machine learning skills to build production-quality models that help understand customer needs and facilitate their journey to transaction.
You will get to:
Leverage large, multi-modal datasets of customers' online and offline data to identify and solve customer challengesBuild scalable optimization models to ensure that each customer is connected to a real estate professional who can provide the service they require at the desired time.Partner with a variety of teams such as mortgages, agent products, buyers, and sellers to tackle the most challenging modeling problems.
This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in any of the 50 US States, with limited exceptions. In certain cases, an employee in a remote-designated job may need to live in a specific region or time zone to support customers or clients as part of their role.In Colorado, Connecticut, Nevada and New York City the standard base pay range for this role is $150,200.00 - $239,900.00 Annually. This base pay range is specific to Colorado, Connecticut, Nevada and New York City and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location.
Who you are
Are you passionate about all things “home”? Would you describe yourself as a curious and ambitious problem solver? Come help us guide our business into the future by building the models behind smarter products and powerful insights and recommendations! We're seeking an applied scientist with the follow qualifications:
Possesses an undergraduate or Master's degree in a quantitative field (e.g. mathematics, computer science, statistics, or similar)3+ years of work in machine learning or data science/research in industryExcellent communication skills with the ability to distill complex issues and detailed analysis into simple, structured frameworks with concrete action plansExperience deploying machine learning models in productionExperience with processing and learning from large data sets using distributed frameworks such as SparkExperience building statistical models to yield insights from complex user journeysStrong proficiency in Python and/or another programming language; experience using SQL, Tableau, and Excel
Get to know us
Zillow is reimagining real estate to make it easier to unlock life’s next chapter.
As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do is helping people move from dreaming to transacting — and no matter what job you're in, you will play a critical role in making this vision a reality.
Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, a fundamental commitment to Equity and Belonging, and world-class benefits. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For in 2022 list, Glassdoor Employees’ Choice Award, honoring the Best Places to Work in 2022, Bloomberg Gender-Equality Index 2022, Human Rights Campaign (HRC) Corporate Equity Index and Best Place to Work for LGBTQ Equality 2022, and TIME 100 Most Influential Companies list.
Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact us at [email protected].
Applicants who receive job offers from Zillow Group will be asked to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at Zillow Group and wish to review a copy of the Proprietary Rights Agreement prior to receiving an offer, you may request a copy from your Recruiter.
See what information we collect about you.
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Data Scientist Lead | Booz Allen Hamilton |
Data Scientist, Lead
The Challenge:
Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection, to cancer research, to national intelligence — you know the answers are in the data.
We have an opportunity for you to use your analytical skills to improve the government's advanced analytics capabilities. You’ll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll develop algorithms, write scripts, build predictive analytics, apply machine learning and deep learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help drive innovation, research, and development for our military and government leaders to make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. This position is open to remote delivery anywhere within the U.S., to include the District of Columbia.
Join us as we use data science for good in bringing decision support and innovation to our clients.
Empower change with us.
You Have:
5+ years of experience within data science, machine learning engineering, data analytics or researchExperience with programming languages, including Python, C++, Java, or RExperience with building statistical models and developing machine learning algorithms, including supervised, unsupervised, or reinforcementExperience with designing and executing machine learning models and applicationsExperience with cloud services, including AWS, Azure, or Google CloudKnowledge of the software development life cycle, testing, and version controlAbility to obtain a security clearanceBachelor's degree
Nice If You Have:
Experience with distributed programming languages, including Spark or ScalaExperience with data engineering and data science tools, including Databricks, ElasticSearch, Apache NiFi, or StreamSetsExperience with business intelligence tools, including Tableau or QlikExperience with data lakes, data warehouses, or data lake housesExperience with enterprise DataOps, DevSecOps, and MLOps processes to operationalize and monitor data science modelsExperience with CI/CD, including Git, Jenkins, and DockerPossession of excellent verbal and written communication skillsSecret clearance
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation:
At Booz Allen, we celebrate your contributions, provide you with opportunities and choice, and support your total well-being. Our comprehensive benefit offerings include healthcare, retirement plan, insurance programs, commuter program, employee assistance program, paid and unpaid leave programs, education assistance, and childcare benefits.
The proposed salary range for this position in Colorado is $170,000 to $200,000. Final salary will be determined based on various factors.
Build Your Career:
At Booz Allen, we know the power of analytics and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you’ll have the chance to:
access online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, and Splunkchange the world with the Data Science Bowl—the world’s premier data science for social good competitionparticipate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government
You’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications that directly impact your role? You may be able to take advantage of our tuition assistance, on-site boot camps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want as you chart your own course for success.
We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.
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Data Scientist Mid | Booz Allen Hamilton |
Data Scientist, Mid
The Challenge:
Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection to cancer research, to national intelligence — you know the answers are in the data.
We have an opportunity for you to use your analytical skills to improve a DoD client. You’ll work closely with your client to understand their questions and needs, then dig into their data-rich environment to find the pieces of their information puzzle. You'll develop algorithms, write scripts, build predictive analytics, use automation, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help senior leaders within the client office to make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in Personnel and Readiness. This position is open to temporary remote delivery anywhere within the U.S., to include the District of Columbia
Empower change with us.
You Have:
Experience with machine learning, data science, data mining, statistics, data retrieval, or graph algorithms in academic or internship environmentsKnowledge of two or more coding languages, including R, Python, SQL, or SASSecret ClearanceBachelor’s degree
Nice if you have:
Experience with data wrangling tools, including StreamSet or TrifactaExperience with Big Data analysis programming techniques and technologies, including HadoopExperience with relational databases and data pipelinePossession of excellent data gathering, analytical, and problem-solving skillsPossession of excellent verbal and written communication skillsMaster’s degree in CS, Computer Engineering, or Systems Engineering
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
Compensation:
At Booz Allen, we celebrate your contributions, provide you with opportunities and choice, and support your total well-being. Our comprehensive benefit offerings include healthcare, retirement plan, insurance programs, commuter program, employee assistance program, paid and unpaid leave programs, education assistance, and childcare benefits.
The proposed salary range for this position in Colorado is $70,000 to $90,000. The salary for this position will be determined based on various factors.
Build Your Career:
At Booz Allen, we know the power of analytics and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you’ll have the chance to:
access online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, and Splunkchange the world with the Data Science Bowl—the world’s premier data science for social good competitionparticipate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government
You’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications that directly impact your role? You may be able to take advantage of our tuition assistance, onsite boot camps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want as you chart your own course for success.
We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.
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Data Scientist Junior | Booz Allen Hamilton |
Data Scientist, Junior
The Challenge:
Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection, to cancer research, to national intelligence — you know the answers are in the data.
We have an opportunity for you to use your analytical skills to improve Booz Allen employee experience and business processes. You’ll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll develop algorithms and scripts, build predictive analytics, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help Booz Allen leadership make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in Booz Allen’s growing internal data science team. This position is open to remote delivery anywhere within the U.S., to include the District of Columbia.
Empower change with us.
You Have:
1+ years of experience using statistical programming languages, including Python or R, and data analytics libraries, including pandas, NumPy, SciPy, scikit-learn, Keras, TensorFlow, Tidyverse, or Tidymodels1+ years of experience with data visualization tools and techniques1+ years of experience with SQL and relational database systems Bachelor's degree
Nice If You Have:
1+ years of experience building statistical or machine learning models, including generalized linear models, tree-based models, neural networks, clustering algorithms, and time series modelsExperience with contributing to or collaborating on analytics products using version control systems, including GitHub or GitLabExperience establishing CI/CD pipelines using DevOps tools and techniquesExperience with dashboarding tools, including Tableau or Power BIExperience in performing analysis with AWS or Azure Cloud tools, including AWS Lambda, Azure Functions, or Azure WebAppsExperience in performing analysis with cloud computing environments, including Databricks using SparkExperience with consulting, client management, and stakeholder engagementExperience with technical writing, including presentationsAbility to be flexible and work under dynamic and changing environmentsBachelor's degree in Data Science, Mathematics, Computer Science, Physics, Statistics, or Quantitative Social Sciences
Compensation:At Booz Allen, we celebrate your contributions, provide you with opportunities and choice, and support your total well-being. Our comprehensive benefit offerings include healthcare, retirement plan, insurance programs, commuter program, employee assistance program, paid and unpaid leave programs, education assistance, and childcare benefits.
The salary for this position will be determined based on various factors. The proposed salary range for this position in Colorado is 65,000 to 95,000.
Build Your Career:
At Booz Allen, we know the power of analytics and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you’ll have the chance to:
access online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, and Splunkchange the world with the Data Science Bowl—the world’s premier data science for social good competitionparticipate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government
You’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications that directly impact your role? You may be able to take advantage of our tuition assistance, on-site boot camps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want as you chart your own course for success.
We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.
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Senior Data Scientist | Tala |
About Tala
Tala is a global technology company building the world’s most accessible financial services. With more than $350 million raised from visionary investors, we are serving millions of customers around the world who have been overlooked by traditional financial institutions – and our plan is to serve millions more, and have been named by the Fortune Impact 20 list, CNBC’s Disruptor 50, and Forbes’ Fintech 50 list for four years running. We are expanding across product offerings, countries and crypto and are looking for people who have an entrepreneurial spirit and are passionate about the mission.
By creating a unique platform that enables lending and other financial services around the globe, people in emerging markets are able to start and expand small businesses, manage day-to-day needs, and pursue their financial goals with confidence. Currently, more than 6 million people across Kenya, the Philippines, Mexico, and India have used Tala products. Due to our global team, we have a remote-first approach, and also have offices in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, the Philippines; and Bangalore, India.
Most Talazens join us because they connect with our mission of enabling financial agency for underbanked people around the world. If you are energized by the impact you can make at Tala, we’d love to hear from you!
We are looking for a Senior Data Scientist interested in solving one of the world's biggest problems: financial inclusion. As a Data Scientist you will lead data science initiatives that drive improvements in customer experience, operational efficiency and recovery. You will own the modeling cycle through scoping, development, deployment and after-sale and monitoring, with keen focus on business outcomes and stakeholder management.
What you'll do:
Embed with business stakeholders to identify, test and implement data science solutions that drive business and customer success. Develop a roadmap in collaboration with stakeholders to organize and prioritize initiatives.
Own full-cycle of machine learning products from ideation and training through deployment into our production environment – including real-time inference – and after sales service. Obsess over machine learning products, iterating rapidly if necessary.
Become a multiplier for data science team by sharing work, providing mentorship to junior team members, providing technical feedback and developing work into shared team tooling.
Be a thought partner for the business, leverage data insights and strong communication skills to influence company strategy.
Qualifications:
4+ years of experience in a data science role or equivalent position.
2+ years in a senior / lead position leading the execution of end to end machine learning solutions for business stakeholders.
Fluency with Python and packages related to machine learning.
Comfort with SQL.
Experience with the full modeling cycle, from scoping and development through deployment, after-sale and monitoring. Demonstrated business value in previous roles.
Competency with statistics. Knowledge of experimental design and analysis basics.
Strong collaboration and communication skills. Ability to tell stories through data and effective visualization.
Ability to thrive in at times ambiguous and complex environments.
Desire to champion simple, correct, and hardy systems.
Preferred Skills & Experience:
Experience with causal modeling techniques such as uplift modeling
Experience deploying real-time model inference/scoring systems
Our vision is to build a new financial ecosystem where everyone can participate on equal footing and access the tools they need to be financially healthy. We strongly believe that inclusion fosters innovation and we’re proud to have a diverse global team that represents a multitude of backgrounds, cultures, and experience. We hire talented people regardless of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
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Commercial Data Science Internship Spring | Disney |
Do you love the art of using data to solve complex business problems? We do too – and would be excited to have you join our team at Walt Disney World!
Our mission as part of the Commercial Strategy organization is to put our data assets to work and apply quantitative techniques to discover previously unknown insights about our Guests and business. We get to work directly with the major decision-makers at Disney who shape the Walt Disney World experience. Through our insights, we help form and improve Disney products and offerings.
This is a unique role, in that it looks across a variety of functional areas, and enables the creation of holistic models to better predict and prescribe improvements to the overall Walt Disney World business. A position like this puts you in the middle of the main commercial decisions of the company – and is a great way to showcase your highly-technical data science and data engineering skills!
The Professional Intern – Data Science currently reports to the Lead Data Science and is an individual contributor role.
Position Responsibilities
While each day will be different, with rotating priorities, the main themes for this role include you being a(n):
Contributor. You will use your skills to develop data structures, documentation, and analysis to drive value & efficiency for the team.
You will work on tools, processes, reporting, and documentation focused on the Commercial data ecosystem.You will create data solutions, answer adhoc business questions, and help your team by addressing data concerns or questions.You will adhere to best practices, including but not limited to code reviews, automated testing and coverage, version control, CICD, configuration management, and clear documentation as you support large data and analytic projects.
Collaborator. You will use your interpersonal skills to develop relationships that lead to successful data solutions.
You will work with Data Product Managers, Data Architects and Data Engineers to design, implement, and deliver successful data solutions for the Commercial organization.You will build partnerships with data scientists and data analysts, leveraging your knowledge of analytics and machine learning concepts, to enable the development of impactful analytical products.
Learner. You will lean into your curiosity to understand business problems, data environments, and people!
You will learn about existing and emerging data engineering and analytical solutions, capabilities, and technologies and be able to support, maintain, and mature them.You will learn about different teams, functions, and locations, which will help you to understand the complex operation, as well as learn to work with many different personalities and skill levels as they troubleshoot different technology solutions.
Basic Qualifications
Experience with SQL, Python, or R to perform data manipulation, engineering, or analysisFamiliarity with SQL or NoSQL databases, as well as data modeling techniques/standard methodologies and practicesKnowledge of industry leading data and analytic tools (e.g., Snowflake, Git, Sagemaker, Dataiku, Tableau)Ability to follow existing programming and style guidelines to maintain consistent quality of codeAbility to maintain documentation, procedures, and working instructions for the Commercial teamTime-management skills, with ability to prioritize multiple requests and communicate status to partners/leadershipStrong communication, interpersonal skills and fortitude to get stuff donePassionate about data, technology, and challenging the status quo
Preferred Qualifications
Familiarity with Docker and KubernetesFamiliarity with Machine LearningExperience with using ML Frameworks, libraries, and tools, such as TensorFlow, Spark MLlib, PyTorch, scikit-learn, Keras, etc.Experience with cloud platforms, such as AWS, Google Cloud, or Azure, as well as big data technologies
Required Education
Currently enrolled undergraduate student studying Computer Science, Computer Engineering, Data Engineering, Information Systems, Software Engineering or related field at an accredited college/university
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Sr Data Scientist | Disney |
Data scientists at Disney are the insights and modeling partners for the growth, content, marketing, product, and engineering teams at Disney. They use data to empower decision-makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide. Scientists on the team build models, perform statistical analysis, and create visualizations to provide scalable, persistent capability that is iteratively improved through direct interaction with cross-functional business partners.
Our team is looking for an experienced data scientist to be part of one of our distribution platform teams, which are responsible for building and operating the services that power experiences across many of Disney’s most recognized brands, including ABC, ABC News, Marvel and National Geographic. This role will be specifically focused on building a personalization platform that powers personalized experiences such as content to content recommendation on products owned by the above brands. You will help deliver theML data models, APIs, and data required for product teams to create delightful, personalized experiences for our guests. We look for someone with deep analytical and modeling expertise, a proven track record of thought leadership and eagerness to drive impact.
Responsibilities:
You’ll make a great fit for our team if you like to do these things:
Modeling: Design, build and improve machine learning models. Work end to end from data collection, feature generation and selection, algorithm development, forecasting, visualization and communicating of model results. Collaborate with engineering to productionize models. Drive experimentation to test impact of model-based optimization.Deep analysis: Develop comprehensive understanding of guest engagement data and metrics. Mine large data sets to identify opportunities for improving content recommendations.Visualization of Complex Data sets: Development of prototype solutions, mathematical models, algorithms, and robust analytics leading to actionable insights communicated clearly and visually.Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation and data architecture.
You’ll be expected to be 100% hands-on development and deliver quickly and iteratively in an agile environment with an opportunity to provide mentorship and leadership to other team members as we build a world class platform supporting some of Disney’s premier brands.
Basic Requirements:
Bachelor’s degree in a quantitative field (e.g. Computer Science, Engineering, Mathematics, Physics, Operations Research, Econometrics, Statistics)5+ years of relevant industry experience designing, building, and evaluating practical machine learning solutions5+ years of experience with statistical programming language (e.g. Python, Spark, PySpark) and database languages (e.g. SQL)Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Airflow, GithubDemonstrate the following scientist qualities: clarity, accuracy, precision, relevance, depth, breadth, logic, significance, fairness and aptitude for original researchCapability to educate the organization both from technical and business perspectives on new approaches, such as testing hypotheses and statistical validation of resultsComfortable working in a team environment using Agile methodologiesProven experience providing technical mentorship to junior team membersExperience with developing for public clouds like Google Cloud Platform (GCP) or Amazon Web Services (AWS)Experience with DockerExperience with ETL pipelines
Preferred Qualifications:
Proven experience developing, monitoring, and maintaining high-volume and highly-available distributed systemsFamiliarity with data exploration and data visualization tools such as Tableau, LookerFamiliarity with designing and analyzing A/B testing and other experiment typesExcellent programming skills and strong knowledge of the Java platform and Java web applications and frameworks (Spring/Tomcat/etc)Deep understanding of web architecture including HTTP, caching and API delivery paradigms (REST, GraphQL)Experience with full software development lifecycle and common best practices like unit testing, collaborative version control flows, and continuous integration
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Senior Data Scientist Delivery Technology | Gopuff |
Back to Careers
Are you passionate about data science? Do you describe yourself as an innovative problem solver? Looking for an opportunity that will directly impact the customer experience at GoPuff? Come join the GoPuff Data Science team and #ChangeTheGame.
GoPuff is a high-growth startup that is revolutionizing hyper-local e-commerce. We warehouse and deliver thousands of products to your door super fast. We're currently operating in over 500+ cities within the US and expanding quickly.
Data Science at Gopuff is really fun, we are super collaborative, really focused on business impact, and driving a better customer experience via machine learning solutions, modeling, and causal inference. Our team is involved end-to-end on the delivery of those models: from deeply understanding our product and our users to identifying opportunities to enhance the product with data-driven solutions, to writing the model’s code and working with engineering on having that model used by different systems across our platform, to experimentally testing and evaluating the performance and impact of our models.
As a Data Scientist at GoPuff working on the Delivery Technology Team, you will help develop data-driven models to optimize the delivery experience for consumers and delivery partners in our platform across dispatch optimization, delivery routing/ETAs, delivery simulation, driver pricing/incentives, as well as the delivery partner experience (goDrive app). All of that, with a direct impact on the delivery experience that is so core to serving our customer's immediate needs. You’ll have the opportunity to make a huge impact on the future success of GoPuff.
We’re looking for a doer, problem solver, and thought-leader.
Responsibilities
Collaborate with our business and engineering partners across the organization to deliver data science solutions for practical business problems.Work with the project leads and product managers to identify and scope new opportunities for data science projectsDeeply understand our users, our product, and our data to identify opportunities for machine learning, optimization, and causal inference methods to deliver a better customer experience and make our business more efficientBuild data-driven, robust and replicable data science modelsDevelop frameworks for evaluating and monitoring model performanceUse experimentation and causal inference to measure the impact of our models on user engagement and business metricsProductionize and deploy models using cloud-based tech stacks including Snowflake, Databricks, Azure, and Google Cloud.Drive adoption of data products and data science solutions into the product planning process with team leadershipIdentify gaps in existing data, create data product specs, and work with Engineering teams to implement enhanced data trackingPartner with Analytics team members and other functions to share insights and best practices, ensuring consistency of data-driven decision-making throughout the org
Qualifications
3-5 years of experience in data scienceMS or PhD in operations research, economics, statistics, computer science, or another quantitative fieldHands-on experience applying descriptive statistics, machine learning, predictive modeling, and visualization techniques to solve challenging business problemsExpert programming skills in PythonData querying skills in SQLExperience deploying models in a production environmentExcellent communication and presentation skillsAbility to explain technical concepts in simple terms to business stakeholdersExperience with BI platforms such as Looker, Tableau, PeriscopeDataMove fast, be a team player, always be learning and give back
Benefits
We want to help our employees stay safe and healthy! We offer comprehensive medical, dental, and vision insurance, optional FSAs and HSA plans, 401k, commuter benefits, supplemental employee, spouse and child life insurance to all eligible employees.
We also offer:
-Gopuff employee discount
-Career growth opportunities
-Internal rewards programs
-Annual performance appraisal and bonus
-Equity program
At Gopuff, we know that life can be unpredictable. Sometimes you forget the milk at the store, run out of pet food for Fido, or just really need ice cream at 11 pm. We get it—stuff happens. But that’s where we come in, delivering all your wants and needs in just minutes.
And now, we’re assembling a team of motivated people to help us drive forward that vision to bring a new age of convenience and predictability to an unpredictable world.
Like what you’re hearing? Then join us on Team Blue.
Gopuff is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply.
Apply for this job
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Data Scientist Forecasting Supply Chain Labor Planning | Gopuff |
Back to Careers
Are you passionate about advanced analytics and data science? Do you describe yourself as an innovative problem solver? Looking for an opportunity that will directly impact the customer experience at GoPuff? Come join the GoPuff Data Science team and #ChangeTheGame.
GoPuff is revolutionizing hyper-local e-commerce. We warehouse and deliver thousands of products to your door super fast.
As a Data Scientist on the GoPuff Forecasting and Labor Planning team, you’ll build and deploy models for important use-cases within warehouse and operations - including supply chain planning, operations optimization, and driver resource management. You’ll have the opportunity to make a huge impact on the future success of GoPuff.
We’re looking for a doer, problem solver, and thought-leader.
Responsibilities
Develop high-quality data science solutions for various business needs, including supply chain, operations, delivery planning, Ads planning, finance, etc.Implement code that automatically generates key inputs to operational business processes using machine learning and optimization methods. Examples include building machine learning models that generate forecasts and the creation of innovative optimization methods that produce labor plansCollaborate with our business and engineering partners across the organization to deliver algorithmic solutions for practical business problems. Work with the project leads and product managers to identify and scope new opportunities for data science projects and implement advanced analytics solutions that become essential to our daily business operationsProductionalize and deploy models using cloud-based tech stacks including Snowflake, Databricks, Azure Ecosystems and etc. Drive adoption of data products and data science team solutions into the planning process for investment decisions with finance and the leadership teamsIdentify gaps in existing data, create data product specs, and work with Engineering teams to implement enhanced data trackingPartner with cross-functional teammates to share insights and best practices, ensuring consistency of data-driven decision-making throughout the org
Qualifications
3-5 years of experience in data scienceMS or PhD in statistics, mathematics, analytics, computer science, engineering or another quantitative fieldHands-on experience applying descriptive statistics, machine learning, optimization, and visualization techniques to solve challenging business problemsExpert programming skills in Python or a general programming languageData querying skills in SQLExperience deploying models in a production environmentExcellent communication and presentation skillsAbility to explain technical concepts in simple terms to business stakeholdersExperience with operations research and working with OR specialists preferredKnowledge of business problems and technical solutions in supply chain and labor planning contexts preferredMove fast, be a team player, always be learning and give back
Benefits
We want to help our employees stay safe and healthy! We offer comprehensive medical, dental, and vision insurance, optional FSAs and HSA plans, 401k, commuter benefits, supplemental employee, spouse and child life insurance to all eligible employees.
We also offer:
-Gopuff employee discount
-Career growth opportunities
-Internal rewards programs
-Annual performance appraisal and bonus
-Equity program
At Gopuff, we know that life can be unpredictable. Sometimes you forget the milk at the store, run out of pet food for Fido, or just really need ice cream at 11 pm. We get it—stuff happens. But that’s where we come in, delivering all your wants and needs in just minutes.
And now, we’re assembling a team of motivated people to help us drive forward that vision to bring a new age of convenience and predictability to an unpredictable world.
Like what you’re hearing? Then join us on Team Blue.
Gopuff is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply.
Apply for this job
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Data Scientist Algorithms Machine Learning | Lyft |
At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.
Data Science is at the heart of Lyft’s products and decision-making. As a member of the Science team, you will work in a dynamic environment, where we embrace moving quickly to build the world’s best transportation. Data Scientists take on a variety of problems ranging from shaping critical business decisions to building algorithms that power our internal and external products. We’re looking for passionate, driven Data Scientists to take on some of the most interesting and impactful problems in ridesharing.
As a Data Scientist, Algorithms, you will be developing mathematical models underpinning the platform’s core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We are hiring motivated experts in each of these fields. We're looking for someone who is passionate about solving mathematical problems with data, and are excited about working in a fast-paced, innovative and collegial environment.
You will report to a Data Science Manager.
Responsibilities:
Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context
Perform exploratory data analysis to gain a deeper understanding of the problem
Develop and fit statistical, machine learning, or optimization models
Write production model code; collaborate with Software Engineers to implement algorithms in production
Design and implement both simulated and live experiments
Analyze experimental and observational data; communicate findings; facilitate launch decisions
Experience:
M.S. or Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, or other quantitative fields or related work experience
3+ years professional experience in a technology company setting involving a product
Passion for solving unstructured and non-standard mathematical problems
End-to-end experience with data, including querying, aggregation, analysis, and visualization
Proficiency with Python, or another interpreted programming language like R or Matlab
Ability to collaborate and communicate with others to solve a problem
Benefits
Great medical, dental, and vision insurance options
Mental health benefits
Family building benefits
In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off
401(k) plan to help save for your future
18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
Pre-tax commuter benefits
Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
Lyft is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.
Until further notice, Lyft employees working in the United States and Canada in any capacity (on a daily or hybrid schedule, remote, or as a visitor) are required to provide proof that they are fully vaccinated and up to date against COVID-19. Fully vaccinated and up to date means an employee has: 1) received all recommended doses in a primary series of COVID-19 vaccine; and 2) either has received a booster dose or is not yet eligible to receive a booster dose but will do so when eligible. Lyft will maintain records associated with your vaccination history in a way that is compliant with all relevant Federal, state and local laws. Exceptions to this requirement are employees who require religious or medical exemption as approved through Lyft's accommodations process. New employees must provide proof of full vaccination or receive an accommodation exception approval prior to their start date.
This role is work-from-anywhere, excluding the following states and U.S. territory: Alabama, Delaware, Iowa, Kansas, Mississippi, Oklahoma, West Virginia, Puerto Rico
For candidates living in Colorado the expected base pay range is $154,000-$179,400 depending on a variety of non-discriminatory factors, including qualifications, experience and geographic location.
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Data Scientist Causality | Metaculus |
Metaculus is one of the largest forecasting platforms and communities today with over 950,000 forecasts on over 6,000 questions. We’re best known for our focus on science and technology forecasting that benefits the public. Our mission is to build epistemic infrastructure that enables the global community to model, understand, predict, and navigate the world’s most important and complex challenges.As a Data Scientist focused on Causality, you'll make key contributions to an important next step in the evolution of our platform: enabling forecasting-based decision making. You'll also work with our rich, extensive dataset to grow our causal understanding of key variables – forecast accuracy and question popularity, for example – and to enable data-driven internal decision making, ensuring the long-term health and growth of the platform.You'll work with a team of talented engineers and researchers who are deeply engaged with and passionate about our mission, in an impact-focused culture that values learning, growth, and autonomy. A deep theoretical understanding of causality, especially causal inference A proven track record of applying ideas from causality to drive decision making in practice A solid understanding of data science, and experience applying it in industry Metaculus's mission resonates strongly with you Metaculus offers competitive compensation and flexible benefits, including health insurance cost reimbursement. Metaculus is an equal opportunity employer that knows and appreciates the benefits of a diverse workforce.
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Quantitative Research Analyst Ai Forecasting | Metaculus |
The speed, sophistication, and impacts of AI technology development together comprise some of the most astonishing and significant events of our lifetimes. Clearly, AI development promises both enormous risks and opportunities for society. To help humankind navigate this crucial period, Metaculus is building a team dedicated to AI forecasting.As a Quantitative Research Analyst in AI Forecasting, you’ll use quantitative modeling to improve our ability to anticipate the future of AI and its impact on the world, enhance our AI-related decision making capabilities, and enable quantitative evaluation of ideas about the dynamics governing AI progress.Using your deep and broad knowledge of AI concepts, algorithms, and research trends, your understanding of causality and causal inference, and your strong mathematical, statistical, and computational skills, you’ll work to fortify the team’s outputs with a rigorous quantitative element. You’ll build causal models and simulations to facilitate decision making in crucial areas such as AI alignment strategy, will contribute to a suite of world model components that will be used across multiple AI-relevant analyses, and will build a detailed, interactive, public-facing model estimating many key facets of the trajectory of transformative AI. You’ll also use our unique AI dataset to identify trends, and to evaluate claims about AI progress.A note about locationMetaculus is currently hiring within several "regional hub" zones in order to enable team members to frequently meet and collaborate in person. This role could be based in London or New York City. For exceptional candidates, we are open to discussing alternative solutions. Strong scientific programming skills, ideally in Python or Julia Solid background in mathematics and statistics Good understanding of causality theory, and experience applying causal inference in practice Familiarity with AI concepts and algorithms, and with the latest trends in ML research Practical experience with ML/data science techniques Metaculus’s mission resonates strongly with you Metaculus offers competitive compensation and flexible benefits, including health insurance cost reimbursement. Metaculus is an equal opportunity employer that knows and appreciates the benefits of a diverse workforce.
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Data Science Intern Summer | Dropbox |
Company Description
Dropbox is a leading global collaboration platform that's transforming the way people work together, from the smallest business to the largest enterprise. With more than 700 million registered users across more than 180 countries, our mission is to design a more enlightened way of working. From our headquarters in San Francisco to eight dedicated Studios and a worldwide team of employees who choose where they work best, our Virtual First approach is leading the way into the future of work.
Team Description
Our mission is to engage and hire the emerging talent that will shape the future of Dropbox. Learn about our internships here!
Team Description:
The Data Science team plays a strategic role in unlocking Dropbox’s next stages of growth. We solve key challenges to improve user experience, grow revenue, and launch high impact initiatives. Our team is highly cross-functional, working closely with Product, Marketing, Engineering, and Design teams. We are leaders in experimentation strategy and drive product roadmaps with our insights.
Role Description:
As a Dropbox intern, you are part of a top-notch learning experience with data scientists from all backgrounds. You will become a subject matter expert for a particular business unit (Growth, Core File Sync and Share, Hellosign, etc.) and analyze Dropbox data to deliver highly actionable insights that drive product decisions and revenue wins. You’ll work side-by-side with a dedicated, experienced Dropboxer as your mentor. By the end of the internship, you will walk away with the experience of owning high-impact projects and a great network!
Our goal is to create a robust and impactful learning experience. You can expect to learn how to apply modern data science principles across our revenue, marketing and product teams and receive regular and effective feedback on your work. We’ll also help you connect with fellow interns, establish mentors, and build the foundation of a strong professional network.
We will work with you to accommodate your school end and start dates culminating in a minimum of a 12-week long internship.
Responsibilities:
Develop a deep understanding of customer journey phases and key business metricsPerform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experimentsIdentify key trends and build executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets Translate complex concepts into implications for the business via excellent communication skills, both verbal and writtenWork with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, and User Research) to rapidly execute and iterate
Requirements:
2024 graduate pursuing degree in Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related fieldAble to work independently and proactively engage with business stakeholders Experience with analyzing unstructured datasets using tools like SQL/Python/ RWorking knowledge of probability and statistics. Applied experience in experimentation design, A/B testing and/or probabilistic modeling a plus.Strong verbal and written communication skills
Total Rewards
For candidates hired in Colorado, the expected salary/On-Target Earnings (OTE) rate for the role is $7,500/mo, subject to change.
Salary/OTE is just one component of Dropbox’s total rewards package. Dropbox is committed to investing in the holistic health and wellbeing of all Dropboxers and their families. Our intern benefits and perks programs for interns include:
Competitive medical, dental and vision coverageFlexible Time Off/Paid Time Off, paid holidays, Company-wide PTO days, Volunteer time offPerks Allowance to be used on what matters most to you, whether that’s productivity, learning & development, wellness, co-working space
Additional benefits details are available upon request.
Dropbox is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work. A big part of that effort is our support for members and allies of internal groups like Asians at Dropbox, BlackDropboxers, Latinx, Pridebox (LGBTQ), Vets at Dropbox, Women at Dropbox, ATX Diversity (based in Austin, Texas) and the Dropbox Empowerment Network (based in Dublin, Ireland).
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Research Analyst Ai Forecasting | Metaculus |
The speed, sophistication, and impacts of AI technology development together comprise some of the most astonishing and significant events of our lifetimes. Clearly, AI development promises both enormous risks and opportunities for society. To help humankind navigate this crucial period, Metaculus is building a team dedicated to AI forecasting.As a Research Analyst in AI Forecasting, you’ll engage deeply with ideas about the future of AI and its potential impacts, and share insights with the AI research and forecasting communities and with key decision makers. You’ll use crowd forecasting to help generate these insights, writing forecasting questions that are informative and revealing, facilitating forecasting tournaments, and coordinating with Pro Forecasters. You’ll engage in deep qualitative analysis of potential AI trajectories and resulting impacts in key areas, reviewing relevant research literature, speaking with experts, and thinking critically and independently to arrive at your own ideas and perspectives. You’ll liaise with quantitative researchers, and integrate quantitative outputs – including forecasts – with your qualitative research, providing holistic, multifaceted analyses of some of the most important questions facing humanity today.You’ll communicate insights distilled from your own research, outputs from the rest of the AI Forecasting team, and opinions from SME’s and the forecasting community, via written reports. Some of these will be visible to the public, with the aim of generating engagement and excitement from the AI research, forecasting, and policy communities, while others will be confidential, feeding directly into crucial decisions made by influential organizations.A note about locationMetaculus is currently hiring within several "regional hub" zones in order to enable team members to frequently meet and collaborate in person. This role could be based in London or New York City. For exceptional candidates, we are open to discussing alternative solutions. Familiarity with AI concepts and algorithms, and with the latest trends in ML research Excellent written and verbal communication skills Demonstrated ability to understand highly technical content across multiple domains Experience with writing reports on technical subjects for technical and non-technical audiences Metaculus’s mission resonates strongly with you Metaculus offers competitive compensation and flexible benefits, including health insurance cost reimbursement. Metaculus is an equal opportunity employer that knows and appreciates the benefits of a diverse workforce.
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Senior Data Scientist | Bungie |
Bungie is looking for an experienced Data Scientist to help shape measurement and optimization of marketing campaigns. As part of the Bungie Analytics & Insights team you will join a diverse team of analysts, data scientists, data engineers, and researchers. You will leverage your expertise in data analysis and machine learning to provide marketers, business leaders, and project leads with actionable insights to make the best marketing campaigns possible. Most importantly, you will work at a fun and energetic company that is devoted to making world-class games.
RESPONSIBILITIES
Develop relationships with members of the publishing and marketing teams to understand their analytics and data science needs
Designing experiments to clearly measure lift with control groups, as well as conducting inferential analysis to estimate uplift (casual analysis) from historical efforts
Perform ad-hoc analyses that inform marketing decisions being made by the team
Transform raw data and build efficient pipelines to create and support customer facing dashboards and reporting resources
Communicate the results of your analyses to technical and non-technical colleagues
Translate hypotheses about marketing campaign behavior into models to improve campaigns
Develop models for predicting and segmenting audience response
Various other data related tasks necessary to support the team
REQUIRED SKILLS
Proven experience as a Data Scientist, Technical Analyst, or similar role
Advanced SQL skills
Intermediate Python or R skills
Experience analyzing large media data sets (e.g. Attribution, Campaign Tests, etc.)
Experience applying ML models and statistical analysis
Foundational knowledge of statistics and test measurement
Understanding of digital media fundamentals
Ability to create clear data visualizations for a variety of stakeholders
Ability to effectively communicate technical insights to a non-technical audience
Understanding of data science use cases and data engineering concepts (e.g., modeling, pipelines, warehousing)
Knowledge of database marketing fundamentals (e.g. segmentation)
NICE-TO-HAVE SKILLS
Experience with Google Cloud Platform (GCP) or Amazon Web Services (AWS)
Experience with Tableau or similar data visualization tool
Experience with Web Analytics tools (e.g. Google Analytics)
Experience with data warehousing and data engineering
Interest in Gaming and foundational knowledge of Games
Most Bungie full-time employees will adopt a digital first approach allowing remote work in Bungie approved locations (outside of positions identified as 100% onsite in Bellevue/Seattle, or individuals preferring a hybrid/flex environment). Prospective full-time employees located outside of CA, CO, DC, FL, GA, IL, MA, MD, MN, NC, NJ, NY, OR, TN, TX, UT, VA, WA, or WI will need to establish residency in one of the states we are compliant in within 45 days of a start date. Contractors will follow a digital first approach adhering to the location guidelines agreed upon by our third-party employer/vendor and Bungie. Bungie’s remote policy is subject to change at the company’s discretion.
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Senior Data Scientist Machine Learning | Bungie |
Overview
Bungie is seeking a Senior Data Scientist to join our newly formed Machine Learning team. Reporting to the Director of Machine Learning, you will scope, prototype, and deploy machine learning models that will support initiatives across our organization. As an early hire for this group, you will have the ability to influence the future trajectory of the team and projects therein.
As part of the Bungie Analytics & Insights team, you will join a diverse team of analysts, data scientists, data engineers, and researchers. You will leverage your expertise in data analysis and engineering to build services that feed game personalization, optimize storefront commercialization, and create internal tools that empower Bungie teams to continue doing what they do best. Most importantly, your work will be essential to creating unmatched entertainment experiences designed to inspire friendships and lifelong memories.
RESPONSIBILITIES
Work with partners across the organization, gathering requirements, designing project plans, determining approaches, and defining success criteria for machine learning solutions
Develop and deploy machine learning services end-to-end in a cloud environment
Transform raw data and build efficient pipelines to support modeling and analytical capabilities within our team
Communicate the results of your analyses to both technical and non-technical colleagues
REQUIRED SKILLS
Experience working within cloud-based infrastructure to build, deploy, and manage models at scale in a live service environment
Advanced proficiency in Python and SQL
Advanced knowledge of machine learning frameworks such as scikit-learn
Experience creating and using advanced machine learning algorithms and statistical models: regression, simulation, scenario analysis, clustering, decision trees, neural networks, etc.
Effective at data visualization and storytelling geared towards both technical and non-technical audiences
NICE-TO-HAVE SKILLS
Advanced degree in Computer Science, Statistics, Machine Learning, or a related field
Experience working within a variety of different technical environments
Experience with Tableau or similar data visualization tool
A love of games
Most Bungie full-time employees will adopt a digital first approach allowing remote work in Bungie approved locations (outside of positions identified as 100% onsite in Bellevue/Seattle, or individuals preferring a hybrid/flex environment). Prospective full-time employees located outside of CA, CO, DC, FL, GA, IL, MA, MD, MN, NC, NJ, NY, OR, TN, TX, UT, VA, WA, or WI will need to establish residency in one of the states we are compliant in within 45 days of a start date. Contractors will follow a digital first approach adhering to the location guidelines agreed upon by our third-party employer/vendor and Bungie. Bungie’s remote policy is subject to change at the company’s discretion.
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Senior Data Scientist Pricing | Clipboard Health |
Pricing Team
You’d be joining the Pricing Team which sits within the Product organization. We’re responsible for pricing every transaction in the marketplace and for using pricing as a lever to improve customer experience.
Where we are today
We’re a fast paced team that travels the problem identification → experiment proposal → experimentation → system wide deployment loop in a median time of 2 weeks. It’s not uncommon for us to travel across it within a day or two.
Where we are going
Today, most successful experiments are launched systemwide as an additional pricing policy. But we have 600+ active markets, each of which has unique needs. The future we’re building will allow us to tailor policies to each market using an automated infrastructure. If you join, you’ll be embarking on this journey with us.
As a Data Scientist, you will:
Identify opportunities to improve the marketplace experience using pricing by knitting together data and customer conversations
Iterate on experiment proposals that make first-principles arguments to tackle important problems with creative policies
Deploy and monitor experiments using our Python-based experimentation infrastructure and iterate on our infrastructure on a regular basis
Present the results of implemented policies and their impact on the business to a cross-functional group of executives on a weekly basis and launch them systemwide
Coordinate with cross-functional teams to tackle pricing related issues, including customer concerns
You should apply if:
You pride yourself on your writing. You’ll have to write relatively technical experiment proposals that can be read by a broad audience and regular write-ups for weekly rituals. Your writing must be clear and should be able to survive a high level of scrutiny.
You can analyze a dataset forever. We’ll expect you to dive deep into the mechanics of customer behavior and reveal powerful, actionable insights about our marketplace. Folks who excel at this always have 10x more questions to ask. We’ll expect you to learn SQL if you don’t already know it.
You focus on delivering value, fast. You’ll be the CEO of your own work. That means prioritizing ruthlessly to ensure that your work delivers tangible value to customers. A lot of times, this means using answers you already have to deploy customer solutions instead of continuing to analyze.
You know probability theory. You’ll have to think deeply about second order marketplace effects on a regular basis. Thinking about the odds of an event happening and how to change those odds will be a regular exercise. You’ll also have to express those odds logically.
You don’t do incremental work. We have a lot of interesting problems, so it’s easy to find ones that deliver clear, but little value. You’d rather focus on thinking about big problems in entirely new ways than focus on small problems.
You can do the math. We stay away from plug-and-play models if we can’t write the math and explain exactly how they’re working. Our ability to use progressively complex ML models is proportional to our first-principles mathematical understanding of our marketplace.
Qualifications:
B.A., M.A. or PhD in a quantitative discipline, like mathematics, computer science, statistics, or engineering, or equivalent quantitative experience.
Experience programming, ideally with Python. Javascript experience is helpful.
Deep understanding of probability theory.
1+ years of experience in a high-growth environment is preferred but not required. New graduates are welcome.
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Actuarial Data Scientist | Ledger Investing |
About the Team:
Data scientists at Ledger are critical to the success of the company. Our team specializes in modeling the behavior of casualty insurance risk portfolios. We analyze and predict the performance of every insurance program that seeks capital through us, and our analyses are critical in determining on what terms, if any, our investors are willing to offer capital for each program. In short, our math forms the ground truth that serves as the basis of negotiations for transactions with tens of millions of dollars at stake.
About the Position:
The questions we focus on have broad overlap with traditional topics within actuarial science: estimating loss development, forecasting portfolio performance, quantifying tail risk, and the like. The statistical models we use to answer these questions (and the philosophy behind them) is not always in the mainstream of actuarial science. In particular, we eschew human-driven decisions and adjustments in the modeling process (i.e., "actuarial judgment") to the greatest extent possible.
At the same time, we recognize the value in more traditional actuarial perspectives, as they are usually borne of decades of practical experience. Team members with actuarial training and experience are able to quickly recognize elements of insurance portfolios that pose particularly thorny modeling challenges, and how they are traditionally addressed. We also still regularly deal with stakeholders who are immersed in a traditional perspective, and actuaries play a vital role in translating to and from the modern Bayesian approaches we use internally.
If these problems sound fun and interesting, we'd love to have you on our team.
About You:
Successful candidates will have all of the following attributes:
Extensive knowledge of statistics, machine learning, and data science; MS or PhD in statistics or a related field preferred.
Professional, hands-on experience in pricing and/or reserving for property and/or casualty insurance lines.
Demonstrated ability to apply new statistical or modeling techniques to actuarial problems (e.g., loss development, rate segmentation, trend estimation, etc).
Some exposure to modern Bayesian modeling techniques.
Extensive experience with R, Python, Julia or other open-source languages with strong numerical computing ecosystems; willingness to learn Python.
Strong attention to detail and ability to reconcile conflicting or ambiguous sources of information.
Ability to work independently and communicate ideas effectively.
The following attributes will help you stand out from the crowd:
A track record of publications and/or presentations on actuarial modeling topics.
An actuarial designation (ie., ACAS or FCAS).
Familiarity with Bayesian modeling using Stan.
Familiarity with version control, especially Git/GitHub.
Benefits:
Generous salary and equity compensation
Work from anywhere (this position is full-time remote, as long as your working hours can overlap with US Eastern time for a couple hours per day)
Unlimited paid vacation time
401k
Medical, dental, and vision insurance
Gym membership
$5,000 paid by Ledger towards your dream desk setup!
Ledger Investing is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. We strictly prohibit and do not tolerate discrimination against employees, applicants, or any other covered persons because of race, color, religion, creed, national origin or ancestry, ethnicity, sex, gender (including gender nonconformity and status as a transgender or transsexual individual), sexual orientation, marital status, age, physical or mental disability, citizenship, past, current or prospective service in the uniformed services, predisposing genetic characteristic, domestic violence victim status, arrest records, or any other characteristic protected under applicable federal, state or local law.
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Product Data Scientist Senior And Staff Levels | Mozilla |
At Mozilla, we want to make products that keep the Internet open and secure for all. We collect terabytes of data a day from millions of users to guide our decision-making processes. We could use your help.
As a Product Data Scientist, you will work closely with the product and marketing organization. You are an inquisitive thinker who is keen to practice full-stack data science, with experience ranging from designing and engineering data extraction processes to finding patterns and anomalies in data through analytical techniques. You have strong interest in honing your technical skills further on real-world data. You believe that data science can lead to insights that can guide the future of Mozilla. You will apply your expertise in quantitative analysis, statistical modeling, and data visualization to see beyond the numbers and understand how our worldwide community experiences our products.
The Role
As a Data Scientist at Mozilla:
You help design and analyze experiments to understand ecosystems, user behaviors, and long-term trends.
You build key data sets to empower operational and exploratory analysis.
You advocate for standard methodologies across the organization.
You own the definition, evaluation and reporting of key product metrics.
You communicate narratives with data to many audiences, ranging from product managers to technical leads.
You sit at the intersection between product, marketing, engineering, and leadership to inform, influence, and help execute our product strategy.
Your Professional Profile
You lead with empathy. You value teamwork and teammates. You are invested in knowledge sharing and learning from others. You contribute positively and meaningfully to cultivate an inclusive and equitable team culture.
Ideally, you have prior experience with Internet data or any large, high-dimensional data set. Experience comes in all forms and personal projects count. We’ll be especially excited if you have worked end-to-end on a data-intensive project on a level that you’d see in a graduate degree program in a quantitative or analytical discipline.
You have practice with extracting data from a variety of sources using SQL or SQL-like tools as well as have performed statistical modeling using Python or R. You also desire to gain further technical experience on the job.
You have experience concisely presenting results (e.g. through report-writing or presentations) and are comfortable explaining technical concepts to non-experts.
You have a keen interest in telling stories with data visualizations and building impactful, insight-driven narratives.
You consider contributing to a collaborative and open team culture an important responsibility.
About Mozilla
Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.
Commitment to diversity, equity, inclusion, and belonging
Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities and expressions.
We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at [email protected] to request accommodation.
We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.
Group: D
#LI-REMOTE
Req ID: R1691
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Principal Security Data Scientist | Adobe |
Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
The Security Data Analytics team at Adobe is on the mission to design, develop, and deploy AI solutions to help make Adobe products and services secure. Data generated by the SaaS products are rich and diverse and driving insight from them is a very exciting and challenging task. The Data Scientist at Adobe is setting a data science foundation for our fast-growing data team, to enable the company to tackle engineering and security challenges by designing analytics and AI solutions. This opportunity involves defining the path to discover trends, patterns, and hidden cyber-attacks from system and sub-system level communication and protocols.
Role
Work on innovative large-scale data analytics and machine learning projects Drive predictive analytics from billions of log data Help define the analytical direction and influence the direction of the Engineering teams.
Use mathematical techniques to arrive at an answer using data. Translate analysis results into business recommendations. Partner with Cybersecurity teams on projects to identify and articulate opportunities and see beyond the data to identify solutions that will set the standard for decision making. Extract actionable insights from broad, open-ended questions Adapt machine learning and data mining algorithms to solve problems across several security teams Use quantitative analysis and the presentation of data to see beyond the numbers and understand what can improve our processes.
Engage broadly with the organization to identify, prioritize, frame, and structure complex and ambiguous security-related challenges, where advanced analytics projects or tools can have the biggest impact.
Qualifications
Advanced degree in Computer Science, Mechanical engineering, Statistics, or related STEM field. 5+ years of Data or Machine Learning experience working on highly complex problems in a dynamic setting Strong programming skills, especially in Python, Scala, or R with 3+ years of relevant experience in a programming intensive role.
Experience with security information and event management (SIEM) systems and concepts like denial-of-service (DoS) or distributed denial-of-service (DDoS) attacks. Technical expertise and in-depth knowledge in one or more of the following Data Science topics: Anomaly detection and signal processing, time-series data analysis, and modeling, Conventional Machine Learning methods, Deep learning and CNNs, text mining, sentiment analysis, information retrieval, etc. Proficiency with a deep learning framework such as TensorFlow, Keras, Pytorch, Caffe, MXNet, etc. Proven track record of developing and deploying algorithms for production-ready anomaly detection, or prediction systems using languages and big data platforms such as Python, Scala, or Java. Excellent communication and presentation skills.
Nice to Haves
Proven experience in Cybersecurity is a huge plus
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.
If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform crucial job functions, and receive other benefits and privileges of employment. Please contact us to request any accommodation.
Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability, or veteran status.
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Financial Data Scientist Systems And Automation | Adobe |
Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
The Opportunity
This is an exciting opportunity to join the Digital Media Finance team as we continue to propel the business through data-driven forecasts and provide influential insights. We are looking for a Data Scientist who is passionate about using big data to deliver key insights for critical business decisions, improve forecasting accuracy, automate financial planning and budgeting processes. You will focus on driving data science and analysis across strategic projects to improve customer engagement & retention. The position will report to the Group Manager, Business Intelligence and Visualization and will provide an outstanding opportunity to drive timely insights for growth across Digital Media (DMe) Business at Adobe.
The ideal candidate for this role will have hands-on experience with analytics and data science applied to subscription business, outstanding quantitative analysis and technical skills, superb communication, and experience working across cross-functional teams
What you'll Do
Partner with finance, accounting, BU partners, and leadership to develop and enhance forecasting methodologiesDrive data science modeling initiatives for forecasting and analysisAutomate, enhance, and maintain analytic applications and data structures used for modeling and forecastingPresent findings to leadership and maintain dashboards tracking key indicatorsAccountable for ad-hoc support & participation in critical business analytics and key project support as directed by managementDemonstrate strong intellectual curiosity towards enhancing current methodologies and processesBe a change agent, ensuring users embrace new and innovative technologies
What you need to succeed
BS/BA with preferred focuses in areas of Business, Finance, or Information Systems3+ years of relevant experience in data science and analytics in creating/maintaining financial models for a subscription/SaaS business a plus.Proficient in data querying and coding in SQL, Python, R or similar languagesStrong understanding of predictive analytics and machine learning techniquesProficient in data platforms/systems (such as SQL, Hadoop, Snowflake, Databricks), ETL tools (such as Alteryx, SnapLogic), process automation, and standardizationExperience exploring large amounts of information, extracting insights, and achieving real-world results.Self-starter with high attention to details, excellent interpersonal skills, and ability to take charge, set objectives, and deliver resultsStrong team orientation with great customer focus
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Senior Data Scientist | Adobe |
Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
The Adobe 3D & Interactive team is seeking an experienced data science professional to drive our culture of data-driven decision-making. At Adobe 3D&I, we make and market a suite of software products that enable creative professionals to unleash their creativity in 3D and populate the metaverse.
As a Data Scientist, you will work with Product, Marketing and Engineering to build the data ecosystem and discover insights. Adding business context to the data insights will allow you to craft compelling narratives that drive decision making. You will have a direct impact on the 3D&I business and product decisions!
Are you passionate about exploring data and create data driven stories? Are you self-motivated with strong interpersonal, communication and collaboration skills? We invite you to apply today!
What You'll Do:
Work across the 3D&I organization and our partners to uncover insights and guide business decisionsCollaborate with 3D&I leadership to define and implement the right metrics to track our business and product performanceRegularly monitor and contextualize reports to build a consistent narrative and insights
What You'll Need to Succeed:
5+ years of professional experience in data science/analyticsBS or MS degree in an analytical field: statistics, applied mathematics, computer science, engineering, economics, etc.Strong proficiency in querying and manipulating large datasets using SQL-like languages (Hive, Spark, Presto, Databricks)Experience designing and analyzing A/B/n experiments, using appropriate statistical techniques to mitigate bias and interpret statistical significanceFamiliarity with descriptive and inferential statistics (e.g. t-test, chi-square, ANOVA, correlation, regression, etc.) to understand usage behaviors and generate hypothesesExperience creating data visualizations and storytelling to effectively communicate analysis results to both technical and non-technical audiences (preferably Tableau or PowerBI)Experience with data science workflows in Databricks, Jupyter, Python, GitExcellent communication, relationship skills, and a strong standout colleague
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists (http://www.adobe.com/careers/awards.html). You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In (http://www.youtube.com/watch?v=hmL6uQZhYhw&list=UUlDSu3-Y4-BfI08784K-P4g&feature=share&index=1) approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog (http://blogs.adobe.com/adobelife/) and explore outstanding benefits (http://benefits.adobe.com/) we offer. Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status.
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Bioinformatics Scientist | Helix |
You + Helix
Helix is a place where innovators and doers gather in order to drive significant progress in population genomics. We have come together to work at the intersection of clinical care, research, and genomics.
If you’re excited by the idea of making a meaningful impact and joining a team where we pride ourselves on driving innovation through fostering an environment with an emphasis on empowering one another to grow, Helix might be the place for you!
Helix + The World
Our end-to-end population genomics platform enables health systems, life sciences companies, and payers to advance genomic research and accelerate the integration of genomic data into routine clinical care. We support all aspects of population genomics from recruitment to translational research and help our partners use genomics to improve health outcomes, increase patient engagement, and lower costs. Leading health systems, including Renown Health, AdventHealth, and Mayo Clinic, use our population genomics platform to power some of the world’s largest and fastest-growing population genomics initiatives.
For the COVID-19 public health crisis, Helix has built one of the nation’s largest COVID diagnostic labs and has been on the leading edge of national viral surveillance efforts tracking B.1.1.7 and other viral strains.
Job SummaryWe are looking for a Bioinformatics Scientist to join our team. You will work cross-functionally to develop new analytical capabilities toward democratizing access to genomic information and creating the next early detection pandemic warning system. The ideal candidate has an insatiable curiosity, entrepreneurial spirit, enjoys teamwork, and is excited about the potential of combining next-generation sequencing (NGS) data with the expertise of all our partners.
As a Bioinformatics Scientist, you will:
Lead analytical investigations for early stage projects to enable rapid development of new laboratory assays
Develop novel tools and methods for increasing our analytical capabilities
Collaborate cross-functionally with experimental biologists, product managers, software engineers, quality engineers
Required:
Ph.D. in a quantitative field (computational biology, mathematics, statistics, computer science, etc), or an MS + 2 years of experience in the industry
Hands on experience with raw sequencing data
Experience analyzing and manipulating large biological datasets in Python, R, or other languages
Strong communication skills, both oral and written
Entrepreneurial spirit; willing to contribute in multiple areas; curious and independently motivated
Problem-focused and able to drive tasks to completion
Pluses:
Experience with human or viral genomics
Trained in graduate-level probability/statistics
Ability to explain complicated topics to lay audience
Experience with GitHub, AWS, etc
Code documentation intended for general audience readability and use
What’s important to us:
Curiosity — we are all passionate about the possibilities enabled by having access to your own genome
Responsibility — we have an obligation to people and our partners to operate with highly credible research guided by well respected advisors, with clear and effective communication about our products
Agility — flexibility and a desire to be nimble, smart, and effective are important to the Helix culture
Follow-through — we’re building a diverse team with amazing track records of achievement in multidisciplinary environments
What Helix can offer you:
Competitive and equitable compensation
401(k) with employer matching
Health insurance, including medical, dental, and vision
12 weeks of Maternity or Paternity leave
4 weeks of paid Pregnancy Disability
On-premise nursing room
Flexible PTO
Helix is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws.
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Senior Marketing Data Scientist Lifecycle | Peloton |
ABOUT THE ROLE
The CRM & Governance team at Peloton is responsible for analytics, segmentation, testing, and predictive modeling to accelerate and optimize Connected Fitness membership growth across all owned marketing channels.
The Senior Data Scientist will partner with our Lifecycle Marketing team to engage our leads and members in impactful and meaningful ways, and play a critical part in advancing our capabilities to personalize lifecycle communication and ultimately drive incremental sales and subscribers across our Connected Fitness portfolio. The ideal candidate combines best-in-class analytical/modeling skills and an outstanding eye for business to own the application of customer models, experimental design, and best-in-class measurement tools across our marketing teams.
YOUR DAILY IMPACT AT PELOTON
Deploy advanced data models that will improve our segmentation, personalization, and targeting capabilities to drive incremental performance in our lifecycle channels
Build up customer segmentation capabilities in CRM channels to personalize customer communication journeys across lifecycle channels
Lead experimental design for A/B and multivariate tests in lifecycle channels to optimize engagement and conversion
Partner with Lifecycle Marketing on measurement of channel reporting and incremental performance to understand and optimize email campaigns
Perform deep-dive analyses and communicate channel findings and useful insights across business partners
Design and maintain CRM data infrastructure with the Analytics Engineering team by translating business requirements from partners to data models that will enable reporting, dashboards, and segmentation through our CDP to appropriate CRM channels
YOU BRING TO PELOTON
5+ years of analytics experience, with a strong grasp of measurement, modeling, and testing techniques. Extensive knowledge in CRM, Lifecycle marketing functions, e-commerce, and lifecycle channel measurement critical metrics preferred.
Expertise in SQL and working with structured and unstructured data-sets, as well as data visualization technologies such as Looker or Tableau
Working knowledge of a scripting language (e.g. Python, R) and experience operationalizing sophisticated data models (regression, segmentation, clustering, and other predictive or machine learning models) from exploration, modeling, testing to performance evaluation
Experience designing and analyzing A/B testing and lifecycle marketing experiments
Expertise in data transformation, ETL, and data pipelining
Excellent communication skills presenting to and influencing cross-functional leaders, especially through distilling technical matters into clear and concise explanations
Operational experience with CRM tools such as Customer Data Platforms (CDP) and email service providers (ESP) is a plus
#LI-SV2
#LI-Remote
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Senior Data Scientist Product Analytics | Lattice |
About the Role
As a Senior Data Scientist on the Product Data team, you will be responsible for working on a wide range of data-related projects, from the infrastructure driving our systems to metric design to analyses that drive business decisions across our company. You will have the opportunity to partner with stakeholders across our Product, Engineering, and Design teams, using data from across the entire Lattice spectrum to produce insights and recommendations on both internal technology choices and crucial business functions like product success metrics and the product roadmap.
Responsibilities
Further implement definitions of what healthy usage of the Lattice products looks like
Partner with the product team to build on their success metrics and inform their roadmapping decisions
Assist in operationalizing up our BI tool, Looker, to make it easily explorable and actionable for internal end users
Model first- and third-party data into analytics-ready tables that can be used across the business
Advise the engineering, product, and design teams on event tracking, ensuring standardization across the Lattice platform and suite of products
Collaborate with stakeholders across the business to create repeatable, standardized analytics that drive strategy and decision making processes
Conduct end-to-end projects to uncover insights and drive product driven engagement at Lattice
Own or collaborate on easily digestible outputs of insights and findings
Research and make recommendations on best practices for our data tech stack
Qualifications
3-5 years of experience working in Data Science or Analytics
Ability to distill ambiguous, open-ended questions into workable problems
A proven track record of collaboration with stakeholders and ability to translate technical output into non-technical recommendations and summaries
Experience developing metrics and productizing those for greater consumption
Deep knowledge of SQL
Knowledge of R or Python
Experience with a BI tool such as Looker
Self-starter who is excited by learning new technologies, getting your hands dirty, and creating scalable solutions
Nice to Haves
Experience working in data at a B2B SaaS company
Knowledge of DBT
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Data Scientist Product Analytics | Lattice |
About the Role
As a Data Scientist on the Product Data team, you will be responsible for working on a wide range of data-related projects, from the infrastructure driving our systems to metric design to analyses that drive business decisions across our company. You will have the opportunity to partner with stakeholders across our Product, Engineering, and Design teams, using data from across the entire Lattice spectrum to produce insights and recommendations on both internal technology choices and crucial business functions like product success metrics and the product roadmap.
Responsibilities
Further implement definitions of what healthy usage of the Lattice products looks like
Partner with the product team to build on their success metrics and inform their roadmapping decisions
Assist in operationalizing up our BI tool, Looker, to make it easily explorable and actionable for internal end users
Model first- and third-party data into analytics-ready tables that can be used across the business
Advise the engineering, product, and design teams on event tracking, ensuring standardization across the Lattice platform and suite of products
Collaborate with stakeholders across the business to create repeatable, standardized analytics that drive strategy and decision making processes
Conduct end-to-end projects to uncover insights and drive product driven engagement at Lattice
Own or collaborate on easily digestible outputs of insights and findings
Research and make recommendations on best practices for our data tech stack
Qualifications
2-4 years of experience working in Data Science or Analytics
Ability to distill ambiguous, open-ended questions into workable problems
A proven track record of collaboration with stakeholders and ability to translate technical output into non-technical recommendations and summaries
Experience developing metrics and productizing those for greater consumption
Deep knowledge of SQL
Knowledge of R or Python
Experience with a BI tool such as Looker
Self-starter who is excited by learning new technologies, getting your hands dirty, and creating scalable solutions
Nice to Haves
Experience working in data at a B2B SaaS company
Knowledge of DBT
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Real World Data Scientist | Tempus |
Passionate about precision medicine and advancing the healthcare industry?
Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
The Real World Data Analytics team at Tempus partners with external Pharma, biotech and academic institutions to provide best in class data, analysis and methodological guidance to Tempus’s real world data offering. We are seeking a highly motivated and capable Real World Data Scientist with extensive experience and interest in design and analysis of pharmacoepidemiological studies to join our team.
Responsibilities:
Participate in clinical projects with external Pharma, academic and other partners
Represent the Real World Data function and collaborate with internal and external stakeholders in the design, analysis, interpretation and publication of clinical real world studies
Contribute to study protocols and statistical analysis plans. The RWD scientist will then perform sample size and power calculations, execute interim and final statistical analyses, communicate the findings to the stakeholders, and prepare written reports
Work on complex problems, exercising judgment in selecting and adapting methods as appropriate
Work in interdisciplinary groups of scientists, engineers, and product developers to translate research into clinically actionable insights for our clients
Stay current with the latest methodological advances in real world studies
Comply with all applicable regulations and Company procedures
Required Experience:
Ph.D. or Masters Degree in Biostatistics, Statistics, or Epidemiology with a minimum of 2+ years (Ph.D.) / 4+ years (MS/MA) relevant experience working with clinical, epidemiologic or genomic studies
Thorough understanding of clinical trial methodology and statistical methods including methods for time to event analysis
Computational skills using Python, R or SAS, especially relevant statistical tools and packages
Ideal candidates will possess:
Extensive experience with time to event analysis and methodology
Experience working in oncology Phase II-IV clinical trials and/or experience with the analysis of RWD studies (e.g. using claims, EHR or registry data sources)
Hands-on experience in helping to prepare regulatory submissions to the FDA
Familiarity with machine learning techniques and the advantages and disadvantages of different approaches, especially with respect to predictive and prognostic algorithms in medical research
Experience in cancer genetics, immunology, or molecular biologySelf-driven and works well in interdisciplinary teams
Collaborative mindset, an eagerness to learn and a high integrity work ethic
Sharp attention to detail and passion for delivering high quality and timely analytics deliverables
Able to effectively present research results to study team and other collaborators, including results interpretation and drawing appropriate inferences based on study design/statistical methods as well as assessment of study limitations
Nice to have:
Experience with version control and software testing
Experience supporting data science teams in model building and validation
Client facing or consulting experience and comfort with presenting results to stakeholders
Proficient in SQL
#LI-Onsite
#LI-Hybrid
#LI-Remote
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Staff Data Scientist | Veho |
About Veho
Veho is a technology-driven shipping company that enables personalized next-day package delivery, extending partner brand value. Veho brand partners have seen a 20% increase in customer repurchase, 40% increase in customer lifetime value, and 8% rise in net promoter score.
Veho gives package recipients greater insight and control, letting them know when they will receive their package, when drivers are en route, and enables real-time rescheduling, address changes, and personal delivery instructions. Veho's technology matches demand for package delivery with a network of qualified crowdsourced driver partners, ensuring every package is delivered on time and correctly.
The concept for Veho started as a school project while co-founder Itamar Zur attended Harvard Business School. Zur constantly experienced issues receiving packages - from getting the dreaded “we missed you” note, to stolen packages. He set out to fix the problem so many customers and brands face.
Today, Veho’s robust technology platform provides customers and e-commerce brands with an unparalleled shipping experience, an industry record 99.9% average on-time performance for next-day delivery and an average 4.9-star customer rating.
Veho is looking for a Data Scientist who will support our product, sales, leadership, and marketing teams with insights gained from analyzing company data. You'll be adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. Having 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 is integral. You'll have a proven ability to drive business results with their data-based insights as well as be comfortable working with a wide range of stakeholders and functional teams.
We are looking for someone with a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes, business decisions, and, ultimately, change the face of an industry!
What You'll Be Doing:
Working with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Mining and analyzing data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies.
Assessing the effectiveness and accuracy of new data sources and data gathering techniques.
Developing custom data models and algorithms to apply to data sets.
Using predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
Developing company A/B testing framework and test model quality.
Coordinating with different functional teams to implement models and monitor outcomes.
Developing processes and tools to monitor and analyze model performance and data accuracy.
Experience and Skills You'll Need to Have
Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
Experience working with and creating data architectures.
Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.
Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc
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.
Why You Want to Work with Us
Competitive compensation packages including a very generous equity program.
Full suite of benefits with partial company subsidization of the premium.
Flexible PTO plan.
You'll be part of an AMAZING team that is using innovative strategies and cutting-edge technologies to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers!
“The starting salary for this role is $176,634. The actual salary is dependent upon many factors, such as: education, experience, and skills. The pay range is subject to the discretion of the Company.”
#LI-Remote
Veho is a growth company that looks for team members to grow with it. Veho offers a generous ownership package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Veho employee shares one galvanizing mission: to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers. We are deeply value-driven (Ownership, Candor, Team Success, Human) and care tremendously about investing in people. We are committed to creating a diverse team and an environment that provides everyone with the opportunity to do the work of their lifetime. Veho is unable to provide sponsorship at this time. Applicants must be able to understand and effectively communicate orally and in writing with all parties regarding work matters, which are generally conducted in English. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
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Senior Data Scientist | Ginkgo Bioworks |
Ginkgo is constructing, editing, and redesigning microorganisms to answer humanity's most pressing challenges in health, energy, food, materials, and more. Our mission is clear--to make biology easier to engineer--and it is the foundation of everything we do at Ginkgo. On the Data Team, our focus is the strategic application of data science and engineering across our business. We tackle diverse problems that span molecular biology, robotic automation, finance & business strategy, and operations, all in service of supporting data-driven decision-making. We do that through a combination of durable software tools, closely embedded analysts, and side-by-side collaboration with data engineering.
As a Senior Data Scientist, you’ll join a distributed, highly collaborative team composed of data engineers, analysts, and data scientists with a wide range of backgrounds and experiences (the majority of the team is currently located in Boston and Seattle). You'll partner closely with scientific collaborators from across Ginkgo to develop analysis plans, deliver durable reports, on-board and train partners, and work with data analysts and engineers to deliver data-driven software tools. The Data Scientist role will be primarily focused on analytical automation and support of our in-house automated foundry for designing and building new organisms, i.e. automated outlier detection, normalization for batch effects, and hit detection, and delivery of results in clean, easy-to-understand outputs. You are a self-starter and a strong technical contributor who can identify opportunities to solve problems with data. You should be curious and eager to learn about both the science and the business, possess analytical skills to uncover rich insights from complex datasets, and excel at communicating your work to audiences with varying degrees of technical expertise.
Every day we face new technical and scientific challenges that require deep cross-functional collaboration and novel solutions. Success in this evolving field is only possible with teams that represent diverse people, ideas, backgrounds, experiences, and ways of working. Active inclusion is core to how Ginkgo wins. We encourage individuals from underrepresented backgrounds to apply.
Please note: This is a residence-based (remote) role with a minimum requirement of quarterly travel to our headquarters in Boston, MA. Candidates must be willing to work on a distributed team and adhere to common working hours across time zones, with an expected start time of 10AM ET.
Responsibilities
Consult directly with foundry scientists in order to deliver automated data science and analysis pipelines to better help scale foundry operations
Design, build, and deliver end-to-end data products such as APIs or web front ends to deliver models to internal stakeholders
Present work progress, insights, and recommendations to stakeholders and senior leadership
Eagerness to learn about both the science and the business and identify opportunities to solve problems with data
Minimum Requirements
Track record of delivering end-to-end data science products, i.e. ability to work across the product lifecycle from exploration and discovery, to operationalization and production
Experience analyzing complex data, drawing conclusions, and making actionable recommendations
Track record of storytelling with data, specifically supporting data-driven decisions with compelling visualizations using tools like Tableau, seaborn / Altair, and/or ggplot2 / shiny
Strong project management skills including managing complexity and making informed trade-offs to quickly escape rabbit holes and make on-time deliveries
Fluency and practical experience with statistical methods like exploratory data analysis, hypothesis testing, power analysis, regression, and generalized linear models, as well as familiarity with advanced methods like, time-series and survival analysis
Fluency and practical experience with machine learning concepts and algorithms in supervised and unsupervised learning settings; examples include general machine learning workflow, linear/logistic regression, decision trees, neural networks, clustering, etc
Fluency and practical experience with data visualization techniques and best practices, and deep skill in at least one visualization tool
Software development best practices including story estimation, test-driven development, code review, and version control with git
Extensive experience with SQL required
Excellent written and verbal communication skills
Strong technical writer and documenter
Familiarity with communication strategies and tactics for managing a distributed team
Preferred Capabilities and Experience
Experience working with biological data, specifically in the context of high-throughput screening
Experience with Agile workflow practices and familiarity with Atlassian tools including Jira, and Confluence
Experience with the Amazon Web Services ecosystem
Experience working with NoSQL data environments and tools such as Hadoop, Spark, DynamoDB
Experience writing and maintaining ETL workflows with tools like Airflow or Luigi
Deep Python skills including familiarity with pandas, scikit-learn, and advanced visualization libraries such as Altair, seaborn and matplotlib
To learn more about Ginkgo, check out some recent press:
What is it really like to take your company public via a SPAC? One Boston biotech shares its journey (Fortune)
Ginkgo Bioworks resizes the definition of going big in biotech, raising $2.5B in a record SPAC deal that weighs in with a whopping $15B-plus valuation (Endpoints News)
Ginkgo Bioworks CEO on scaling up Covid-19 testing: ‘If we try, we can win’ (CNBC)
Ginkgo raises $70 million to ramp up COVID-19 testing for employers, universities (Boston Globe)
Ginkgo Bioworks Redirects Its Biotech Platform to Coronavirus (Wall Street Journal)
Ginkgo Bioworks Provides Support on Process Optimization to Moderna for COVID-19 Response (PRNewswire)
The Life Factory: Synthetic Organisms From This $1.4 Billion Startup Will Revolutionize Manufacturing (Forbes)
Synthetic Bio Pioneer Ginkgo Raises $290 Million in New Funding (Bloomberg)
Ginkgo Bioworks raises $350 million fund for biotech spinouts (Reuters)
Can This Company Convince You to Love GMOs? (The Atlantic)
We also feel that it’s important to point out the obvious here – there’s a serious lack of diversity in our industry, and that needs to change. Our goal is to help drive that change. Ginkgo is deeply committed to diversity, equity, and inclusion in all of its practices, especially when it comes to growing our team. Our culture promotes inclusion and embraces how rewarding it is to work with people from all walks of life.
We’re developing a powerful biological engineering platform, so we must remain mindful of the many ways our technology can – and will – impact people around the world. We care about how our platform is used, and having a diverse team to build it gives us the best chance that it’s something we’ll be proud of as it continues to grow. Therefore, it’s critical that we incorporate the diverse voices and visions of all those who play a role in the future of biology.
It is the policy of Ginkgo Bioworks to provide equal employment opportunities to all employees and employment applicants.
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Sr Battery Data Scientist | Rivian |
Responsibilities
Build machine learning models to provide valuable estimations and predictions to the product and the user. Interface closely with the battery experts (modeling/electrochemical/mechanical/thermal/software) and engineers to define features & metrics from the domain knowledge.
Work with vehicle telemetry data at scale to provide insight on the battery health, performance, and powertrain efficiency of Rivian products
Work with battery scientists to improve state of health estimation for batteries based on field data models.
Develop statistical and machine learning models for predicting and forecasting field failures, cell chemistry variations, battery health degradation and how various driving behaviors affect battery performance for safety and drivability.
Build scalable full stack infrastructure and data pipelines to aggregate telemetry and service data in order to monitor and predict failures in the field.
Research and development of multivariate models for prognostics applications, predictive maintenance, and battery state of health estimation, battery health coaching.
Run cloud-based data models to assist improving battery power and energy estimation based on current, voltage and temperature data points across various drive cycles and geographies.
Work with embedded systems engineers to bring cloud-based data models to run on embedded systems.
Qualifications
Must have 3 or more years of industry experience in a data science or software engineering role or Masters/PhD. Level of role depends on experience and qualifications.
Ideally 3-5 years' experience in battery domain, focusing on hardware and engineering
Minimum:
Experience working with data in Apache Spark, Python and SQL
Strong fundamentals in software engineering with Python
Understanding of statistical and machine learning concepts
Data visualization and communication best practices
Ideal:
Experience with cloud infrastructure such as AWS with Terraform/Docker
Programming in multiple languages, such as Golang/Scala/C/C++
Experience with battery prognostics and health management
Working knowledge of mathematical or advanced machine learning concepts
Experience with reinforcement learning
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Head Of Actuarial Analytics | 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 a Staff Actuary/Health Economist to join our Data Science team. You will be responsible for technical roadmapping and thought leadership on healthcare economics and return on investment of Spring Health services. You will work in concert with internal and external resources including third party consultants to lead projects estimating the financial value of Spring Health services to our customers, and performing financial forecasting to build pricing models and value proposition assessments. Internally, you will collaborate with a team of data scientists, product managers, psychologists, and psychiatrists. You will use statistics and visualization tools to turn real-world insurance claims and clinical data into actionable insights for Spring, our customers, our members, and their associated health plans.
We are creating the future of mental healthcare: within your first year, you’ll discover something no human ever knew before about mental health.
What you’ll be doing:
Build upon and expanding existing internal and external ROI analyses to quantify Spring Health’s impact on medical and workplace spend
Identify data-driven product enhancement opportunities from the lens of financial ROI and present recommendation to senior leaders
Lead financial forecasting and scenario modeling to develop new and improved payment models for Spring services
Lead development of prospect financial value proposition assessments
Collaborate with internal and external stakeholders to support ROI, sales,and product initiatives
What we expect from you:
Degree in statistics, health economics, actuarial sciences, or related field
Knowledge of, or experience in, the employer benefits or payor space
ASA to FSA or health economist or applied healthcare statistician with 5-10 years of relevant experience
Experience working with medical claims data
Track record of interprofessional collaboration and ability to communicate effectively with multiple stakeholders with widely varying levels of technical expertise
Strong presentation skills — fluently tell a compelling clinical or business story with data
Strong written communication skills
Experience leading/mentoring junior data analysts
Experience working cross-functionally
Experience working with external stakeholders (clients, consultants)
What we’d love to see:
Demonstrated passion for, and understanding of, mental illness and broader U.S. healthcare system
Expertise in causal inference or related methods for observational study designs and financial outcomes evaluations
Experience in building forecasting models
Experience with predictive modeling
Fluency in a statistical programming language (R, python, or equivalent)
Experience with Git, SQL, and other data science toolkits
Experience using data visualization techniques to present key findings
#LI-BW1
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 | Evolve |
Why this role
As a tech-enabled disruptor in the vacation rental industry, Evolve is professionalizing the category by leveraging data science to capitalize on opportunities across the vacation rental ecosystem. The projects we work on aim to fundamentally change how guests interact with vacation rentals and how homeowners maximize rental income generation. As a member of the core data science team, you will be responsible for crafting machine learning solutions to the most challenging prediction problems within the vacation rental industry using a combination of modeling, exploratory analysis, and data strategy to transform how a business domain is able to operate.
What you’ll do
Implement algorithmic solutions to prediction problems that exceed existing baselines and provide a meaningful impact for our homeowners and guests
Employ retrospective statistical methods to enhance domain understanding
Partner deeply with cross-functional leaders to gain domain knowledge, challenge existing assumptions, and develop data product roadmaps
Effectively communicate complex and ambiguous information to technical and non-technical stakeholders
Leverage internal and 3rd party experimentation capabilities to measure the impact of new solutions
Consider model explainability as a key factor in maintaining trust and understanding across stakeholders and provide meaningful insights where possible
Accelerate continual improvement on the data science team by sharing learnings and providing feedback on other challenging projects around the company
Innovate on existing strategies by researching and applying techniques from other leading data science teams outside of Evolve
What makes you a great fit
5+ years of data science related work
Strong programming experience with Python and SQL, ideally in a full-stack machine learning setting
Software development understanding to be able to create high-quality, reproducible code
Proven track record of business impact from models you took from prototype to production
Experience working in a collaborative environment and communicating effectively with a variety of stakeholders
Bachelor’s degree in Computer Science, Statistics, or related quantitative field, Masters or PhD preferred
Location
Evolve has a flexible working environment so teammates can work remotely anywhere in the state of Colorado, in our beautiful downtown Denver office, remotely or a hybrid of both! As we grow, we are working towards opening remote opportunities across the entire U.S. We currently are able to hire across the U.S except in the following locations: California, District of Columbia, Hawaii, New Jersey, New Mexico, and Pennsylvania.
Compensation
For this role our salary range is $136,000 to $156,000 depending on relevant experience. This role will also be eligible to receive a variable annual bonus based on both company and individual performance.
In addition to the base salary you will also receive:
Equity: 50% of salary equivalent RSUsVariable comp: 10% of salary target
#LI-MS1
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Data Scientist | Evolve |
Why this role
As a tech-enabled disruptor in the vacation rental industry, Evolve is professionalizing the category by leveraging data science to capitalize on opportunities across the vacation rental ecosystem. The projects we work on aim to fundamentally change how guests interact with vacation rentals and how homeowners maximize rental income generation. As a member of the core data science team, you will be responsible for crafting machine learning solutions using a combination of modeling, exploratory analysis, and data strategy to transform how a business domain is able to operate.
What you’ll do
Build, deploy and monitor machine learning models and algorithms that have a sustained business impact
Maintain model explainability and present new models in a way that builds trust and understanding across stakeholders
Monitor model performance and identify opportunities for iterative improvement
Build predictive datasets using data cleaning and feature engineering techniques
Continue to learn new data science techniques, tooling, and coding best practices
Research new methodologies, concepts and industry trends to guide the creation and adoption of new analytical approaches and technologies
Communicate complex, technical information to non-technical audiences
What makes you a great fit
5+ years of experience in data analytics and 2+ years of data science work
Related technical bachelors, masters, or doctoral degree preferred
Programming experience with Python and SQL, ideally in a full-stack machine learning setting
Software development understanding to be able to create high-quality, reproducible code
Clear recognition of how and when to iterate on deployed models
Track record of consistently identifying and prioritizing high value opportunities
Experience working in a collaborative environment and communicating effectively with a variety of stakeholders
Location
Evolve has a flexible working environment so teammates can work remotely anywhere in the state of Colorado, in our beautiful downtown Denver office, remotely or a hybrid of both! As we grow, we are working towards opening remote opportunities across the entire U.S. We currently are able to hire across the U.S except in the following locations: California, District of Columbia, Hawaii, New Jersey, New Mexico, and Pennsylvania.
Compensation
For this role our salary range is $105,000 to $120,000 depending on relevant experience. This role will also be eligible to receive a variable annual bonus based on both company and individual performance.
In addition to the base salary you will also receive:
Equity: 50% of salary equivalent RSUsVariable comp: 10% of salary target
#LI-MS1
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Data Scientist | 0X |
COMPANY At 0x Labs, our mission is to create a tokenized world where all value can flow freely. 0x Labs is the parent company of several cutting-edge technologies and initiatives within the crypto space, representing a tight-knit group of teams that work together toward actualizing that mission. The 0x core team builds across the entire 0x stack — from protocol-level development through end-user products. In joining us, you'll take part in transforming the way that value is exchanged on a global scale. We're passionate about open-source software and decentralized technology's potential to act as an equalizing force in the world, and our technology is deployed by a wide array of projects at the forefront of internet and economic advancement. WHO YOU ARE You're excited about the opportunity to shape 0x's culture and practices. You thrive in ambiguity, and you're excited about converging on salient ideas and solutions. You're highly motivated to advance not only 0x through data, but to do the same for our growing ecosystem and the broader Ethereum community. You're experienced in forming and testing theses against large data sets to help drive product decisions and company strategy. You enjoy sharing your findings and presenting them both internally and externally, tailoring your language and visualizations to the audience. Working with experimental and cutting-edge technology inspires you, and you find the process of solving problems without a known best practice motivating. RESPONSIBILITIES
Work with 0x Labs leadership to help us answer questions about problems we're facing, and develop reports for both the 0x core team and broader 0x ecosystem
Curate and refine appropriate data sources to power our analyses
Canonicalize metrics and construct dashboards to help teams mark progress and measure success.
Develop models to forecast key metrics in order to identify opportunities and problem areas.
Help 0x ecosystem and broader Ethereum ecosystem by contributing to open source, publishing data sets and analyses, and establishing best practices for working with blockchain data
REQUIREMENTS
2+ years experience as a Data Scientist or Analyst
Basic familiarity with programming (ideally in Python and/or TypeScript/Node, but we’re flexible)
Experience analyzing, cleaning, and preparing reports on large, diverse data sets
Passion for the benefits of decentralization and the 0x mission
Exhibit our core values: do the right thing, consistently ship, and focus on long-term impact
PREFERRED
Experience interacting with Ethereum nodes / web3
Experience building ETL pipelines
BENEFITS
Additional cryptocurrency-based compensation
Comprehensive insurance (medical/dental/vision/disability/pet)
401k, HSA, and FSA
Monthly mobile phone bill, wellness, and pre-tax transportation expense
Flexible hours, liberal work-from-home policy, and a supportive remote environment
Meals and snacks provided in office daily
Laptop, headphones, and any other work gear you may need
12-week paid parental leave
Great office conveniently located in Soma/East Cut, SF
Unlimited vacation: Take time when you need it (and we really mean it)
0x Labs and its associated entities (0x) are dedicated to fostering diversity, inclusion, and belonging in its teams and workforce, and are proud to be equal opportunity employers. 0x does not make employment or hiring decisions on the basis of race, color, creed, religion, sex, sexual orientation, gender, gender expression or identity, age, disability, veteran status, marital status, pregnancy, citizenship, national origin, or any other basis that is protected by applicable local, state, or federal laws. 0x will also consider qualified applicants with arrest and conviction records in a way that is consistent with San Francisco’s Fair Chance Ordinance and similar local laws.
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Data Scientist | Cloudflare |
What you'll do
Partner and align with business leaders, stakeholders, product managers and internal teams to understand the business and product challenges and goals and address them using predictive analytics in a globally distributed environment.
Understand data landscape i.e tooling, tech stack, source systems etc. and work closely with the data engineering team to improve the data collection and quality.
Understand business/product strategy and high-level roadmap and align analysis efforts to enable them with data insights and help achieve their strategic goals.
Strong audience focused presentation and storytelling skills focused on key takeaways in a crisp and concise manner.
Define, implement, and train statistical, machine learning, and deep learning models.
Use software engineering best practices to publish model scores/insights/learnings at scale within the company.
Ability to define and spot macro and micro levels trends with statistical significance on a regular basis and understand key drivers driving those trends.
Active role in hiring, growing, and mentoring the data scientist team in Austin.
Examples of desirable skills, knowledge and experience
M.S or Ph.D in Computer Science, Statistics, Mathematics, or other quantitative fields.
3+ years of data scientist experience with proven industry experience in a large scale environment (PBs scale & globally distributed teams)
Strong experience working with business functions such as Finance, Sales, and Marketing to build models and drive impactful business outcomes (eg: customer and revenue growth)
2+ years experience with a fast-growing SaaS business based company is preferred.
Strong experience in scientific computing using Python, R, or Scala.
Experience with Spark, SQL, Tableau, Google Analytics, Hive and BigQuery (or any other Big data/Cloud equivalent) etc.
Experience working with and processing structured, unstructured, and semi-structured data.
Strong cross-functional collaboration experience with data engineering and data analysts teams within the function.
Proven track record of applying data insights and machine learning in order to address business needs and drive revenue.
Strong communication and presentation skills catered to different audiences within the company.
Capable of working closely with business, engineering, and product teams to ensure data initiatives are aligned with business needs.
Experience in hiring data scientists and establishing team best practices is preferred.
Compensation
Compensation may be adjusted depending on work location. For Colorado-based hires: Estimated annual salary of $140,000 - $172,000.
[Commissions: If applicable include this line:] This role is eligible to earn incentive compensation under Cloudflare’s Sales Compensation Plan. The estimated annual salary range in Colorado includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan.
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
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Data Scientist | Vercel |
About Vercel:
At Vercel, we believe that liberating the frontend unlocks creativity and open-source is the best way forward.
We are building a next-generation internet where developers can create freely and execute new ideas, guaranteeing a more vibrant, personalized internet. Vercel’s platform provides the speed and reliability to create at the moment of inspiration. In other words, our friction-less, real-time deployment makes it possible to start working on projects immediately — anywhere in the world.
Our globally-distributed team works asynchronously to lead the React ecosystem and serve developers at large companies. We pride ourselves on our diversity, shared urgency to iterate, team-oriented decision making, and drive to dig deep.
About the Role:
The Data Science role at Vercel is responsible for providing a broad range of advanced analytical services to the Data Team’s stakeholders. Example problems include:
Provide leadership in data analytics, forecasting, metric design, and A/B testingExperience leading data-driven projects to solve complex business problemsKnowledge of statistics (e.g., hypothesis testing, designing experiments, predictive analytics, multivariate clustering)Performing advanced exploratory analysis that includes effects like cohorts, seasonality, derivatives of trends, and statistical testsHelping design metrics that have a high chance of producing measurable results
The data science role will closely partner with data engineering and analytics engineering to maximise their high-quality data for the role's core responsibilities. The role will also partner with other teams (marketing operations, finance, business operations, and the leadership team) to help them get a better understanding of their operational data. The data science role will occasionally need to work further upstream with engineering to understand how data is created within the production systems so their analytical understanding can align with the production environments. This role will have the opportunity to work with every department at Vercel to increase the quality and quantity of data decisions.
About You:
Data Scientists at Vercel should be comfortable using:
Data/BI tools to produce dashboards and reports (e.g., Snowflake, dbt, Preset)SQL for exploratory analysis and outcome-focused business decisionsUnderstand the experimental design process (e.g., tests of statistical significance, power analysis, descriptive and inferential statistics)At least one general-purpose programming language (Python, R, Julia, Golang)Asynchronous communication during project planning, documentation, and reportingKind, optimistic, and passionate about data at Vercel!
The role should be able to work with stakeholders to refine and convert their business requirements into reproducible data operations. You must be very comfortable with quantitative analysis, qualitative inferences, statistical measures, and statistical tests. Knowledge of machine learning is excellent but not a core requirement of this position. The data team expects to hire machine learning engineers in the future who will specialize in shipping predictive models into the production ecosystem.
Benefits:
Competitive compensation and stock optionsInclusive Healthcare PackageFlexible working style - 100% remote, with teammates located throughout the globeLearn and Grow - we provide mentorship and send you to events that help you build your network and skillsUnlimited PTO - 4 weeks recommended per year. Take time when you need it.We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
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Senior Data Scientist | Nielsen |
Data Science is at the core of Nielsen’s business. Our team of researchers come from diverse disciplines and they drive innovation, new product ideation, experimental design and testing, complex analysis and delivery of data insights around the world. We support all International Media clients and are located where our clients are.
ABOUT NIELSEN
Audience is everything! Nielsen is the global leader in mapping media ecosystems. With a footprint in 70 countries and 15,000 associates, we offer the world’s most complete measurement of everything people watch on all screens. We leverage the best data assets and modeling methods to build consistent and comparable metrics of viewing behavior. By connecting clients to audiences, we fuel the media industry with the most accurate understanding of what people listen to and watch. To discover what audiences love, we measure across all channels and platforms—from podcasts to streaming TV to social media. And when companies and advertisers are truly connected to their audiences, they can see the most important opportunities and accelerate growth.
ABOUT DATA SCIENCE
Data Science is at the core of Nielsen’s business. Our 500+ data scientists range from survey methodologists, experimental behaviorists, statisticians, machine-learning modelers, data engineers,and software developers. We drive innovation, new product ideation, experimental design and testing, complex analysis and delivery of data insights around the world.
ABOUT YOU
You’re a visionary who can also execute--you see the possibilities, then create a plan and make it happen. You understand media measurement or are able to quickly pick up domain knowledge on the job. You write production-quality code and enjoy orchestrating your big-data solutions at scale. You’re able to shift gears quickly and adapt to changing circumstances. You also have the communication chops to translate it all into conversation or presentations, connecting strategic objectives to daily work. Seeing the big picture takes attention to detail. You know what’s happening in the data science world and you’re ready to influence what’s next.
ABOUT THE JOB
Our team builds methodologies that integrate Nielsen’s state-of-the-art data assets into cutting-edge audience measurement and planning products. The Senior Data Scientist will develop and producionalize data integration models for our content measurement for TV, digital, and radio platforms. Meetings are usually held during standard East Coast working hours; some flexibility may be required for international coordination.
QUALIFICATIONS:
Advanced degree in Statistics, Computer Science, Engineering, Physics or other STEM fields
Proficiency in Python, Spark, or Scala to develop sharable software with the appropriate technical documentation
Experience with enterprise data systems
Experience with cloud platforms.
Experience with Hadoop, Apache Spark, and other big data systems
Experience with Atlassian suite is a plus
Experience with statistical and machine-learning models
Experience with both designed and organic data
2 or more years work experience in data science
Excellent communication skills, ability to explain complex problems to technical and non-technical audiences
JOIN US!
Do you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and take action. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You’ll enjoy working with smart, fun, curious colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work!
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Bayesian Data Scientist | Ledger Investing |
About the Team:
Data scientists at Ledger are critical to the success of the company. Our team specializes in modeling the behavior of casualty insurance risk portfolios. We analyze and predict the performance of every insurance program that seeks capital through us, and our analyses are critical in determining on what terms, if any, our investors are willing to offer capital for each program. In short, our math forms the ground truth that serves as the basis of negotiations for transactions with tens of millions of dollars at stake.
About the Position:
Our data science practice is deeply Bayesian. We are invested in quantifying and disclosing every source of uncertainty in our modeling – our investors care about our level of confidence in our results as much as the top-line results themselves. The domain we work in is rife with small, noisy datasets, and Bayesian hierarchical modeling techniques are typically quite beneficial. Many of the problems we are most interested in have received relatively little attention in the academic literature, and we have a robust agenda of potential model enhancements that will improve the state of the art in the industry and improve our company's bottom line.
If these problems sound fun and interesting, we'd love to have you on our team.
About You:
Successful candidates will have all of the following attributes:
Extensive knowledge of statistics, machine learning, and data science; MS or PhD in statistics or a related field preferred.
Demonstrated track record of applying and adapting Bayesian statistical methods to solve complex real-world problems.
Familiarity with hierarchical modeling, time-series/state-space methods, and/or distribution fitting.
Extensive experience with R, Python, Julia or other open-source languages with strong numerical computing ecosystems; willingness to learn Python.
Experience with Stan or another open-source tool for estimating Bayesian models via HMC; willingness to learn Stan.
Ability to work independently and communicate ideas effectively.
The following attributes will help you stand out from the crowd:
A track record of publications and/or presentations on Bayesian modeling topics.
Familiarity with version control, especially Git/GitHub.
Working knowledge of property & casualty insurance, particularly from an actuarial and/or underwriting perspective.
Benefits:
Generous salary and equity compensation
Work from anywhere (this position is full-time remote, as long as your working hours can overlap with US Eastern time for a couple hours per day)
Unlimited paid vacation time
401k
Medical, dental, and vision insurance
Gym membership
$5,000 paid by Ledger towards your dream desk setup!
Ledger Investing is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. We strictly prohibit and do not tolerate discrimination against employees, applicants, or any other covered persons because of race, color, religion, creed, national origin or ancestry, ethnicity, sex, gender (including gender nonconformity and status as a transgender or transsexual individual), sexual orientation, marital status, age, physical or mental disability, citizenship, past, current or prospective service in the uniformed services, predisposing genetic characteristic, domestic violence victim status, arrest records, or any other characteristic protected under applicable federal, state or local law.
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Senior Data Scientist Product | Clio |
Clio is more than just a tech company–we are a global leader that is transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.
More than 150,000 legal professionals use Clio to run their legal practices. They come in all sizes, specializing in every field of law, and each one has unique needs. Clio solves many of their biggest problems out of the box, but every legal practice is different.
We are currently looking for a new Senior Data Scientist, Product, to join our Data Insights team and be embedded into one or more Product teams.
You thrive on both analytical challenges and working closely with product development and customer-facing professionals. You will collaborate with everyone from product managers to business leaders to designers and developers, and will guide rapid iterations of hypothesis, prioritization, experimentation / analysis and feature roll-out—helping to clarify what value our users want and need to thrive, and how well what we build meets those user needs.
The team:
Our Product Growth team is a cross-functional team dedicated to optimizing key product funnel metrics such as acquisition, activation, monetization, and virality. You will be working as an embedded data scientist on the Product Growth team, collaborating to guide rapid iterations of hypothesis, prioritization, experimentation, analysis and roll-out (supported by our Director of Data Insights and team of data scientists).
You may also support other Product teams, and will help build a scientific culture in our Product teams, help our business grow, and help our customers succeed.
Who you are:
We aren’t looking for just any traditional Data Scientist to join this team. We’re looking for someone who takes data seriously, thrives in a rapid-growth, high-velocity environment, and lives and breathes our values. We’re looking for an innovator and a thought leader! We’re looking for someone who is:
Passionate about driving growth empirically;
Always looking to innovate with data and explore open-ended questions;
Strategically minded and never shies away from a challenge;
Self-motivated and able to work autonomously and collaboratively;
Agile and responsive, and comfortable with constant change.
You will help lay the foundation for this work by ensuring good data quality, data governance, and analytical practices. And you will also be part of our larger Data Insights team for learning, career development, and company-wide data initiatives.
Here’s what you’ll need to do:
Collaborate with the Growth and Insights teams along with other Product teams to identify opportunities, develop hypotheses, and run experiments that drive growth.
Identify new questions about our business, product, and customers that lead to impactful insights.
Build predictive models to forecast the impact of specific growth and retention initiatives.
Establish requirements and best practices for event tracking, testing frameworks, and other data collection to enable new product insights in a scalable and predictable way.
Innovate new applications of statistical analysis, machine learning, and data mining to unlock opportunities in our products.
Build a scientific culture in the Product team by enabling discussions with data, disseminating best practices, and leading by example.
You should have:
4+ years applied experience in data science.
Have experience designing and iterating on experiments such as A/B tests.
Experience in product analytics working with product and user behavior data, including retention or churn analysis.
Proficiency in database modeling, SQL, and data warehousing principles.
Proficiency in developing analysis in Python (and optionally R).
Strong team player mindset, while able to work under your own initiative and prioritize time and tasks effectively.
Excellent written and verbal communication skills.
Serious bonus points if you have:
A deep understanding of SaaS business metrics and growth drivers.
Experience with large data sets and / or user interaction data.
Experience with SaaS companies and product growth teams.
An undergraduate or graduate degree in a relevant quantitative discipline (computing science, statistics, mathematics, etc.)
Developer and data architecture expertise
Where your team works:
Clio is “distributed by design”. This means that Clio offers employees more choice: the opportunity to work from one of our hub offices across Canada, remotely, or a combination of both. We have invested in best-in-class tools, technology, and culture to ensure our team members are able to do their best work whether they prefer to work from an office or remotely.
Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility
Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.
Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.
Learn more about our culture at clio.com/careers.
About Clio
At Clio, we are on a mission to transform the legal experience for all. As the world's leading provider of cloud-based legal software, we provide lawyers with low-barrier, affordable solutions to manage and grow their firms more effectively, more profitably, and with better client experiences. Through the cloud, we believe that we can help create a more inclusive legal community and a more equitable legal system. We are an award-winning team that has been recognized as one of Canada’s Best Managed Companies, Canada’s Most Admired Cultures and has topped Fast Company’s list of Most Innovative Companies. In line with our mission, we’ve been up to some big things, including becoming a multi-product company, launching a $1 million COVID-19 Legal Relief Initiative, and most recently, securing a US$110M Series E funding round and a USD $1.6B valuation.This is a historic moment in the growth of legal technology! As the first legal practice management unicorn globally, and one of only a handful of Canadian unicorns, this is only the beginning. If you’ve ever wanted to do the best work of your career, while having a meaningful impact in the lives of others, then Clio is the place for you.
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Principal Data Scientist | Smartasset |
About Us:
SmartAsset is an online destination for consumer-focused financial information and advice that powers SmartAdvisor, a national marketplace connecting consumers to financial advisors. Reaching approximately 75 million people each month (as of Sept. 2021) through its educational content and personalized calculators and tools, SmartAsset's mission is to help people make smart financial decisions. Ranked on the Inc. 5000 and Deloitte Technology Fast 500™ lists of fastest growing companies in 2021, SmartAsset closed a $110 million Series D round, valuing the company at over $1 billion. SmartAsset was also named to Y Combinator's list of Top 100 Companies of all time and Forbes' list of America's Best Startup Employers in 2020.
SmartAsset has been featured in hundreds of publications, including the Wall Street Journal, CNN, TechCrunch, The New York Times, CNBC, FOX Business, The Washington Post, U.S. News World Report, TIME, Reuters, Businessweek, and Barron’s.
About the Team:
At SmartAsset you will join a team of data scientists that are at the forefront of AI/ML applications for the company. You will have the opportunity to work cross-functionally with leaders from different teams (Marketing, Product, Sales, and Technology), and with our growing team of Data Engineers, and Data Analysts.
You will identify opportunities, create roadmaps, and deliver data-products that will have an enormous impact on the business from week one.
About the Job:
As a Principal Data Scientist you will lead the development and the deployment of machine learning models that will drive business decisions, with a focus on performance forecasting and model monitoring.You will help to design data science roadmaps, mentor junior data scientists, and lead the adoption of good practices across the whole team (unit testing, model versioning, model monitoring, etc.).
You will utilize your strong problem-solving skills, computational experience, and business analytics to solve real-world problems at scale. You will design and implement a variety of data products to support and drive business operations, working cross-functionally with other business leaders.
Skills/Experience You Have:
Experience leading multiple domains in a company, delivery of models working with cross functional teams, proven ROI returns for business
Proficient in Python (pandas, numpy, matplotlib, scikit learn, tensorflow, etc.) and SQL.
Professional experience with the development and deployment of predictive models, with an emphasis on time series and categorization models.
Knowledgeable of best practices such as version control (git), documentation, environments, unit tests, and containerization.
Professional habits around model validation, testing, and tracking.
At least 8 years of relevant working experience. Strong quantitative background.
Skills/Experience Preferred:
Experience in the deployment of Forecasting models (ARIMA, LSTM, …).
Experience with ML services like Feast, FastApi, AWS Sagemaker, DataBrew, Feature Store and with common Data Warehouses (e.g. SnowFlake).
Experience with model monitoring (drift / performance, confidence intervals, …).
Comfortable in working on the line between data science and data engineering and mentoring junior colleagues.
An Agile development mindset, appreciating the benefit of constant iteration and improvement. A very high bar for output quality, while balancing long and short term solutions.
Available Benefits and Perks:
All roles at SmartAsset are currently and will remain remote - flexibility to work from anywhere in the US.
Medical, Dental, Vision - multiple packages available based on your individualized needs
Life/AD&D Insurance - basic coverage at 100% company paid, additional supplemental available
FSA: Medical and Dependant Care
401K - 3% match with immediate vesting
Equity packages for each role
Time Off: PTO, 3 Month Paid Parental Leave, Secondary Caregiver Leave
EAP (Employee Assistance Program)
Pet Insurance
Short-term and Long-term Disability
Home Office Stipend
Health and Wellness Stipend
Monthly Food Delivery Stipend
SmartAsset is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact us at [email protected].
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Data Scientist | Welocalize |
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
The Data Scientist is part of Welocalize’s Analytics Solutions team, reports to the Data Analytics/BI Leader, and works closely with the head of Data Strategy & Operations. The purpose of this important role is to add advanced Data Science & Machine Learning expertise to the data analytics/BI function, in order to enable the organization to take full advantage of the robust and extensive data ecosystem developed over the past five years; and to help the lead the organization in converting these data assets into improved performance and business value.
This role requires advanced technical competency—robust “hard skills”—but also practical business acumen and an aptitude for direct engagement with business stakeholders. This individual’s most important objectives will require them to develop a working understanding of the way the business works, what the key stakeholders do, and what their objectives are—and use that knowledge to inform the way that the individual’s technical capabilities are utilized.
Responsibilities
Provide the necessary machine learning/data science expertise, and collaborate with data analysts and data engineers, so that the Analytics Solutions team can:
Construct, support, and continuously refine our BI data systems;
Deploy analytical approaches and tools to support business stakeholders with cutting edge business intelligence and data visualizations;
Leverage the organization’s data assets to develop, maintain, and support the implementation of predictive models that improve business performance in areas such as on-time delivery (OTD), quality performance, and other TBD items.
Maintain familiarity and stay up-to-date on state-of-the-art machine learning/data science approaches applicable to the role.
Engage directly with business stakeholders across the organization to cultivate a working knowledge and familiarity with the realities of the business, problems to be solved, and opportunities to add value through data; leverage this knowledge to help the team turn analytical models into practical, value-added solutions.
Collaborate with product & development teams when and as appropriate to facilitate the deployment of predictive models into business-facing work surfaces and systems.
Contribute expertise, problem-solving capability, thought leadership, and supplementary bandwidth to ongoing efforts of the Analytics Solutions team, including the maintenance and ongoing development of Data Warehouse, its connection to various other data systems & assets, and ensuring the responsiveness of our BI reporting systems to the evolving needs of the business.
Apply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning; discerning where simple analytics solutions (e.g. a quick visualization) are preferable to complex solutions (e.g. machine learning).
Become proficient in, and compliant with team requirements around the intake and documentation of various initiatives and progress within existing product management platforms (e.g., Jira).
Experience
Education: MSc or PhD in Machine Learning, Data Science or similar discipline with robust statistical, data analysis, and machine learning competency (or equivalent experience)
Hands-on experience working with directly with stakeholders in a business environment to provide data analytics support, create & present data visualizations, and devise ways to leverage various complex sources of data to generate actionable business insight.
Mastery of common data science tools such as Python or R (and related code libraries), and experience using them to design and build predictive models for use in real-life business applications leveraging proprietary business datasets, to achieve defined performance improvement objectives.
Preferred: a track record of deploying such models to end users; training users on how to interpret the outputs of the models and applying them to their regular business processes; and modifying/improving models over time to adapt to changing business needs.
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Data Science Internship Winter | Wealthsimple |
Wealthsimple is on a mission to help everyone achieve financial freedom, no matter who they are or how much they have. Using smart technology, Wealthsimple takes financial services that are often confusing, opaque and expensive and makes them simple, transparent, and low-cost.
As our team is reimagining what it means to manage your money, Wealthsimple interns are able to be at the forefront of Canada's leading digital financial products and work with smart, high-performing team members who will challenge you to learn and grow every day. We value great work and great ideas — not ego. We're looking for people who love a fast-paced environment and want to ship often and make an impact with groundbreaking ideas.
Internships @ Wealthsimple
At Wealthsimple, we offer 4 to 12-month internships that are open to co-op and non-co-op students, recent grads, and career changers. During your remote-first internship, you will be able to contribute to projects that are changing the landscape of financial services for Canadians. You will be on a team that supports your growth and provides mentorship while also connecting to the broader Wealthsimple community!
Data Science @ Wealthsimple
The Data Science & Engineering (DSE) team consists of data scientists and software engineers with diverse educational backgrounds such as math, operations research, economics, computer science, engineering and business. The team is responsible for enabling data-driven decision-making and building data products at Wealthsimple. We achieve these goals by:
- Building a high quality and scalable state-of-the-art data warehouse that powers all decision making
- Leveraging machine learning and algorithms to help Wealthsimple build smarter financial products
- Using decision science to understand the cause and effect of our business decisions
What you can expect from the interview process:
First Interview: 30-minute technical interview (in your language of choice) with two interviewers.
Second Interview: 45-minute Interview with a Hiring Manager where you will be walking through a project review and also find out more about your potential team.
Last Stage: Offer! 🎉
Interns @ Wealthsimple are completely integrated into the teams they join and get to work on meaningful projects during their time with us! For Winter 2023, we're looking to add Data scientists across our times! Throughout the interview process, we’ll learn more about your skills and interests to match you with the right team at Wealthsimple 🙌
Applications are due September 19th, 5pm.
We're looking for people who:
Are driven to ship frequently
Take ownership in working on projects to successful completion
Enjoy tackling new, complex challenges on a regular basis
Are comfortable with self-directed learning
Believe that debate, inclusivity and transparency result in better products
Are eager to learn from your team and others. We value making one another successful!
Things you should know about our tech before applying:
Familiarity with Python, SQL
Basic understanding of statistics: either frequentist and Bayesian approaches
Basic understanding of fundamental machine-learning algorithms: regression and decision trees
First-hand experience working with popular Python libraries such as Pandas, scikt-learn, numpy and Jupyter
Excellent communicator
We’re a remote-first team and output is more important than face time, so where you choose to work is up to you — as long as you have internet access, you can work from anywhere in Canada. Be a part of our Canadian success story and help shape the financial future of millions — join us! Read our Culture Manual and learn more about how we work.
At Wealthsimple, we embrace difference. We believe that getting to the best outcomes requires diverse perspectives and backgrounds. We create space where all voices can be heard so that we can all do our life's best work. We’re committed to openness, curiosity and creating an inclusive culture as we know that diverse teams build better products and generate better ideas. We strongly encourage applications from everyone regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Wealthsimple provides an accessible candidate experience.
If you need any accommodations or adjustments throughout the interview process and beyond, please let us know.
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Senior Data Scientist Product Growth | Hopper |
About the job
We’re looking for a Senior Data Analyst to join the Super App team to help analyze the impact and set direction for features used by millions of users every week.
Our team is focused on accelerating Hopper’s user growth, which until now has been primarily through high-volume paid advertising. Now, we’re looking to build new products in our app that will help us activate, acquire, retain, and convert new users at scale. Overall, our goal is to pair Hopper’s world-class travel marketplace with the growth and retention mechanisms inspired by mobile games, super-apps, and category-leading retailers.
The ideal candidate is excited about empowering teams with actionable data, comfortable breaking down large unstructured problems, and able to apply deep analytics skills to help steer direction, inform strategy, accelerate Hopper’s growth and ultimately provide a better experience for our customers. This is an opportunity where you will have a massive impact on the definition and evolution of the business.
Responsibilities
Develop metrics and frameworks to measure the impact of product experiments and discounting spend on revenue and gross profit
Become an expert on the wide range of products we are building to be able to to synthesize analyses and build dashboards that identify and drive new growth opportunities
Deeply understand the key levers for growth marketing spend at Hopper to inform nine-figure budgeting decisions
Partner closely with cross-functional stakeholders, including Product Managers, Engineers, Designers, Data Engineers and others across the team
Minimum Qualifications
3 to 4+ years of relevant work experience
Background in LTV analysis and cohort modeling
Strong analytical and creative problem-solving skills
Strong background in relational databases and SQL
Advanced ability to draw insights from large datasets and clearly communicate them to the stakeholders and senior management as required, both verbally and written
Proven ability to communicate complex technical work to a non-technical audience
Enthusiasm and curiosity for conducting research and answering hard questions with data
The ability to work with minimal guidance, be proactive, handle ambiguity, and the challenge of quickly evolving goals
Preferred Qualifications
Experience working on super-apps, in e-commerce, or in mobile gaming
Experience using Amplitude, BigQuery
Exposure to scripting with Python
MORE ABOUT HOPPER
Despite the pandemic’s impact on the travel industry, Hopper has emerged stronger than ever. As the travel industry continues to rebound, Hopper has demonstrated significant outperformance with its category-leading mobile-only marketplace, delivering value to customers and supply partners with the company’s proprietary suite of fintech offerings.
Here are just a few stats that demonstrate the company’s recent growth:
- Hopper’s valuation is now over $5B, which is more than triple our valuation from early 2020.
- The company grew its revenue by more than 300% YoY in 2021. Hopper’s monthly revenues are now 375% higher than its pre-pandemic high point and Hopper Cloud, Hopper’s new B2B initiative, is already 15% of its revenues and growing.
- According to Apptopia, Hopper was the #1 most downloaded OTA in the US in 2021. The app has over 70 million downloads.
- Hopper’s recovery is faster than the market and its share of the air travel market in North America is now 300% higher than prior to the pandemic, according to MIDT. We are now the 3rd largest air travel agency in North America.
- The company sells over $2B in travel and travel related financial services annually.
- Hopper’s fintech offerings, such as Price Freeze and Rebooking Guarantee, now represent over 70% of its air revenue.
- Given the success of its travel fintech, Hopper recently launched a B2B initiative called Hopper Cloud, where any travel provider can unlock a totally unique revenue stream by seamlessly integrating and offering Hopper’s travel content and fintech products. Hopper Cloud partners include Capital One, Kayak, Marriott, Amadeus, Trip.com, and MakeMyTrip.
The industry opportunity for Hopper Cloud is enormous as projections estimate that if all travel distribution channels offered travel fintech, it could increase the total consumer spend for the sector by $200 billion annually.
And all this recent growth is just the beginning. There are still so many new opportunities we’re excited to tackle in the next year!
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Data Scientist | Varsity Tutors |
We are looking for problem solvers with mastery in analytics, statistics and machine learning to join the fully remote Data Science team at Varsity Tutors. This team partners with product and engineering to discover insights and develop algorithmic solutions that support personalization at scale.
The qualified Data Scientist will hold an advanced quantitative degree with experience building forecasting systems, recommender models, or ranking algorithms. The candidate is expected to be comfortable developing prototypes that can be productized by engineering to develop real-time systems. Candidates must be comfortable with pushing through ambiguity and passionate about solving problems at scale and with speed.
About Nerdy:
Nerdy (NYSE: NRDY), the parent company of Varsity Tutors, is a leading platform for live online learning, with a mission to transform the way people learn through technology. The Company’s purpose-built proprietary platform leverages technology, including AI, to connect learners of all ages to experts, delivering superior value on both sides of the network. Nerdy’s comprehensive learning destination provides learning experiences across 3,000+ subjects and multiple formats—including one-on-one instruction, small group classes, large format group classes, and adaptive self-study. Nerdy’s flagship business, Varsity Tutors, is one of the nation’s largest platforms for live online tutoring and classes. Its solutions are available directly to students and consumers, as well as through schools and other institutions. Learn more about Nerdy at https://www.nerdy.com/.
Qualifications:
M.S. degree in a quantitative discipline (e.g. Mathematics, Statistics, Machine Learning, Econometrics).
3+ years of professional data science experience
Applied skills in the areas of statistical inference, probability, machine learning (unsupervised and supervised).
Previous experience with production models, i.e. post-deployment responsibility
Ability to develop ML or statistical analyses software in R or Python
Experience with building recommender systems and implementation with a breadth of matching algorithms is a plus.
Experience with Bayesian reasoning, Natural Language Processing, classification, ranking systems is a plus.
Relentlessly curious and strong bias for action.
Great communication skills
Responsibilities:
Develop algorithmic systems to enable personalization for our consultative sales organization.
Partner with operations and engineering to identify impactful problems, and turn business goals into objective functions.
Design experiments to rapidly establish causal relationships.
Drive initiatives from conception to production with measurable impact to the business.
Define creative services to thorny problems using mathematical algorithms
Varsity Tutors Leadership Principles
Relentless Focus on Customers * Comfort with Ambiguity * Ownership * Simplify * Intellectual Curiosity * Build Teams * Think Big * Insist on High Standards * Bias for Action * Build Trust * Go Deep * Have Conviction * Deliver Results * Are Right, a Lot
Benefits/Culture:
Competitive Salary plus Equity in the company
Healthcare Plans (Medical, Dental, Vision, Life)
401k Company Matching Plan
Remote Position, fully work from home anywhere in the U.S.
Flexible PTO
Paid VTO ("volunteer time off" to do community service/charity work)
52 hours of Free Learning Sessions per year for you or immediate families members and free access to our online classes
Once in a lifetime opportunity to help revolutionize how the world learns!
Fun, collaborative, and team-oriented work environment with plenty of training and a feedback-rich culture
Varsity Tutors is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. (INDHP)
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Director Data Science Customer Analytics | A Place For Mom |
Overview
Owned by three of the world's leading private equity firms, Silver Lake, General Atlantic and Insight Partners, A Place for Mom is a mission driven, rapidly growing technology company. We connect families searching for senior care services with a team of experienced advisors across the country to help them find the best care for their loved one. As the leader in senior care advisory, our mission is to be a trusted destination for families and our community customers as we support more than 300,000 families every year in finding the right community for them.
Through our differentiated technology platform, data-driven approach and commitment to our customers, we are transforming the experience of working with A Place for Mom in order to provide more personalized, insightful experiences to both the families and communities we work with.
Living by our values and working to achieve excellence on behalf of our customers is integral to success at A Place for Mom. Employees who thrive at A Place for Mom live our values every day and are an important part of our hiring practices:
Focus on ExcellenceAct with Integrity & Assume Positive IntentDrive Outcomes Every Day with Passion and A Sense of MissionMake the Lives of our Families and Customers Better, Easier and More SuccessfulRealize the Full Potential in Each Team Member.Work as a Single Supportive Team
COMPANY LEADERS
Tatyana Zlotsky – Chief Marketing Officer & Head of OperationsTatyana is a visionary and entrepreneurial digital marketing executive, brand builder, and industry thought leader with experience in driving transformational change and redefining user experiences for Fortune 100 companies and start-ups. She has a reputation for championing the art and science of marketing - from strategic branding and creative development to data and technology - translating high brand value into tangible revenue generating activities.
Alice Park – VP, Data & Analytics
Alice is an executive with broad experience building and managing successful data- and analytics-driven teams, strategies and capabilities that enhance customer experiences, drive revenue and enable growth. Alice joined us from American Express where she, most recently, led the global commercial marketing data capabilities and platform product team. But over her Amex career, has led teams across risk management, rewards & benefits analytics, marketing analytics, and data monetization product development for consumer and B2B portfolios. Alice has also held positions as Chief of Operations & Product at Archie Group, where she led development of operational strategies, strategic partnerships, and data-driven product suites, and Head of Data Products and Analytics at BDIPlus, where she led advanced analytical solutions and data monetization strategies for clients.
THE POSITION
The Director, Data Science & Customer Analytics role, will report into the VP of Data & Analytics and will be a key senior leader in transforming data & analytics into an enabler for A Place for Mom. This role will be responsible for developing, standing up and scaling in-market, key initiatives including top-of-funnel lead scoring applications, enhanced treatment and customer nurture strategies, and other use cases that drive increased conversions and valuable family experiences. This person will also conduct in-depth analysis to understand impact of initiatives, refine model performance and identify additional opportunities for growth. This person will also develop a high performing, outcome oriented team of diverse talent and is expected to work with complex enterprise-level datasets in a hands-on capacity as needed.
Who you are:
The ideal candidate is passionate about using data and science to solve complex business problems and has a track record of developing and bringing winning data monetization strategies to market. You can mobilize cross-functionally, are able to communicate clearly at all levels, and are skilled at driving teams towards growth oriented goals. You are comfortable, confident and energized operating in a rapidly changing and environment. You are an inspirational, compassionate, and experienced people leader. And importantly, you are passionate about the families and communities we serve.
Responsibilities
Build, manage, and develop a high performing team of analysts who are highly engagedCollaborate with key business partners to develop, stand-up and scale, in-market, key data-driven initiatives top-of-funnel including lead scoring applications, enhanced treatment and customer nurture strategies, and other use cases that drive increased conversions and valuable family experiencesLeverage 1st party and 3rd party data to build predictive machine learning models and conduct analytics to evaluate, qualify, prioritize and determine treatment for leads at the top-of-the sales funnelOwn, enhance, and monitor the end-to-end scoring engine capability; including working with product & engineering teams to ensure model build & performance in the production environment, integrations with data sources, the customer journey & sales/CRM systems, enabling testing capabilities, and defining data requirementsConduct in-depth analysis to understand impact of initiatives, refine model performance and identify additional opportunities to increase conversion rate and accelerate growth Design, implement and interpret test and learn experimentsImplement robust testing and KPI framework to measure performance and identify opportunities to drive outcomes at profitable economics
Qualifications
Experience building successful teams and effectively managing and coaching analytical talentTrack record of solving analytical problems creatively, bringing them to market with clear outcomes, and a strong sense of accountabilityAbility to effectively communicate analytical insights to a non-technical audience; experience communicating with the C-suite and internal/external partnersDeep knowledge of statistics5+ years experience in a hands-on analytics role and 3+ years experience in a leadership role developing relevant strategies or consultingAdvanced degree in a quantitative field such as Statistics, Computer Science, Engineering, or Operations Research, or MBA with quantitative undergrad degreeExpert SQL and Python, strong proficiency in R; Experience with ML frameworksExperience with Databricks, Tableau, Amplitude, Google Analytics
#LI-REMOTE
#LI-AR1
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Manager Data Scientist | Tiger Analytics |
Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Lead Data Scientist you will lead the design and analysis of our Media Mix Modeling Team. You will join our multi-functional Optimization team comprised of Data Scientists, Software Engineers, and Data Engineers. You will be responsible for delivering insights about a major CPG marketing efforts. We lead and support analyses across Channel Digital, offline marketing, email marketing, social media, and paid media. You will also uncover high-impact optimization opportunities, craft compelling A/B test proposals, and analyze experiment results. If you’re passionate about the intersection between marketing, data science, and experimentation, we encourage you to apKey Responsibilities Core responsibilities cover three pillars: DIGITAL ANALYTICS: Lead a select number of strategic analyses to provide teams and leaders with concrete insights regarding opportunities to improve Effectiveness, ROIs, and conversion. EXPERIMENT ANALYSIS: Design experiments, analyze results, develop insights, and summarize recommendations. Work closely with the A/B Test Platform Engineering Team to ensure the analytics implementation suits our needs. RESEARCH & DEVELOPMENT: Partner with Data Scientists across Markets, Retail, and Operations on projects to increase the sophistication of our ROI program and deliver deeper insights about marketing performance. Productization: Maintain code which can be productise and packaged as python packages in any cloud environment. Provide thought leadership to provide MLOps framwork and DevOps suite to run model in production. 8+ years of Data Science and Machine Learning experience required Expertise with experimentation and statistical hypothesis testing (e.g. sample size determination / power analysis, statistical tests, confidence intervals, etc). Build predictive causal inferencing models (e.g. bayesian filters, kalman filters) for state space models. Good communication and presentation skills with the ability to communicate analyses to a diverse group of partners including data scientists, stakeholders, and marketing leaders. Outstanding digital analytics experience with the ability to derive insights from multiple quantitative and qualitative data sources. Strong data querying skills (SQL) and experience with a OOPs framework language (Python). Excellent time leadership skills and ability to lead multiple A/B testing projects in various stages of development. Great teammate who enjoys collaborating with others. BENEFICIAL BUT NOT REQUIRED Experience with econometrics and quasi-experiments. Experience with predictive analytics and ML algorithms such as regression, decision trees, clustering, and neural nets. Experience in optimization algorithms to determine best budget allocation This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
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Machine Learning Scientist | Numbrs 050C8740 5Ff3 4808 9D52 164C158B26B3 |
Numbrs develops and provides an industry-leading, highly secure storage solution for digital currencies and aims to develop global wealth preservation for the 21st century. By constantly challenging the status quo we are able to exceed our clients’ expectations while maintaining a unique company culture.
Numbrs is a Swiss company controlled by Swiss shareholders, adhering to the Swiss standards of privacy, neutrality and stability. We are looking for world-class talents with the desire and ability to build and share expertise in the frontier technologies of crypto and blockchain.
The Role
We are seeking an experienced, dedicated, and well-organized Machine Learning Scientist to join our remote engineering team. This position will require someone who is adaptable in a changing environment and who is passionate about delivering high quality results in a fast-paced environment.
You will be a part of the Data Science team responsible for designing, developing and supporting big data-driven predictive models using the latest technologies in machine learning, user pattern recognition, and data modelling.The team is responsible to gain new insights which result in the development of product’s features to improve user engagement and experience.
About you
You find large challenges exciting and enjoy discovering problems as much as solving them.You can thrive in a fast-paced environment where attention to detail, excellent communication skills, and a talent for delivering out-of-the-box ideas are essentialYou deliver. You may enjoy thoughtful conversations about problems and perfecting designs, but in the end, you know that what matters is delivering a solution that works every time.Resourceful, flexible and adaptable; no task is too big or too small.
Key Qualifications
University degree in Physics, Mathematics, Statistics, or related disciplineA minimum of 5 years of professional experience in AIProficiency in data mining, mathematics, and statistical analysisAdvanced pattern recognition and predictive modeling experienceStrong knowledge in Machine Learning areas such as Neural Networks, Reinforcement Learning, and NLPKnowledge of Big Data technologies such as Kafka, Spark, and CassandraFluent in a programming languageComfort working in a dynamic, research-oriented team with several ongoing concurrent projectsExcellent troubleshooting and creative problem-solving abilitiesExcellent written and oral communication in English and interpersonal skills
What we offer
An opportunity to work on the most exciting challenges in the crypto industryCollaboration with some of the smartest and the most talented experts in technologyGrowth potential. We rapidly advance team members who have an outsized impactFully remote company, at which every person is free to live and work wherever they want
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Senior Data Scientist Meteorology | Sunairio |
About Sunairio
As the world transitions to renewable energy, the global economy will become more dependent on weather than at any point since the Industrial Revolution. And due to climate change, the weather that our future economy is tied to will be drastically different from the weather we’ve historically experienced. This means that managing weather-based risk, and weather-based variability is the number #1 challenge facing the energy grid.
Sunairio’s mission is to disrupt weather prediction as we know it to build the most advanced platform for valuing, managing, and operating renewable energy. Instead of relying on physics-based weather models that are bias-prone and slow, we use machine learning and advanced statistics to generate high-fidelity simulations of future weather risk–and we do this on multi-year timescales at hourly (or less) resolution. We work with renewable energy project developers, storage operators, energy buyers, energy suppliers, portfolio managers, traders, and utilities to deliver actionable insights into the hardest energy problems.
The founders of Sunairio have decades of experience building decision models to anticipate weather risk in energy markets, and we’re now seeking exceptional, intrepid, and entrepreneurial-inclined people to form the core of our technical team. This core team will be responsible for laying the building blocks of a world-class back-end architecture and user interface that elevates Sunairio from a revolutionary algorithm to an industry-defining technology.
What we offer:
The opportunity to join an industry-disrupting startup on the ground floor–with significant equity compensationThe focus to work on innovative solutions to problems of critical importanceA truly collaborative team environmentThe ability to help shape company cultureAmazing swagCompetitive salary
Key Responsibilities
The Senior Data Scientist for Meteorology will work closely with the engineering team and the CEO to maintain, validate, and update the core Sunairio weather simulation technologyApply insights from atmospheric science to inform model developmentPerform independent research into climate trendsDesign and develop data visualizations that convey nuance and uncertainty in an actionable mannerRun hybrid machine learning/statistical modelsDevelop clear and succinct descriptions of modeling processes and outputs for use in business development and in customer applicationsCollaborate with the engineering team to develop a world-class user experience
What we’re looking for
Passion for building a new solution to weather prediction problems that applies machine learning and statistical methods instead of pure physics5+ years of experience in quantitative meteorology, numerical weather prediction, or climate researchExpertise with the leading short-range and medium-range NWP models (NAM, HRRR, GFS, ECMWF)Expertise in climate reanalysis and regional & global climate modeling methodsExperience with stochastic modeling and time series forecastingExperience with the Python scientific computing environment (Pandas/Numpy/SciPy/Xarray)Advanced Degree (MS/PhD) in Atmospheric Science, Meteorology, Physics, or related fieldA creative problem-solver with outstanding communication skills and a commitment to technical excellenceIntellectual curiosity
Equal Opportunity Employer
Sunairio is an equal opportunity employer that does not discriminate on the basis of race, color, religion, sex, national origin, disability, veteran status, marital status, age, sexual orientation, gender identity, or any other legally protected status. We are committed to a diverse workforce and an inclusive workplace environment.
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Senior Data Scientist Electricity Markets | Sunairio |
About Sunairio
As the world transitions to renewable energy, the global economy will become more dependent on weather than at any point since the Industrial Revolution. And due to climate change, the weather that our future economy is tied to will be drastically different from the weather we’ve historically experienced. This means that managing weather-based risk, and weather-based variability is the number #1 challenge facing the energy grid.
Sunairio’s mission is to disrupt weather prediction as we know it to build the most advanced platform for valuing, managing, and operating renewable energy. Instead of relying on physics-based weather models that are bias-prone and slow, we use machine learning and advanced statistics to generate high-fidelity simulations of future weather risk–and we do this on multi-year timescales at hourly (or less) resolution. We work with renewable energy project developers, storage operators, energy buyers, energy suppliers, portfolio managers, traders, and utilities to deliver actionable insights into the hardest energy problems.
The founders of Sunairio have decades of experience building decision models to anticipate weather risk in energy markets, and we’re now seeking exceptional, intrepid, and entrepreneurial-inclined people to form the core of our technical team. This core team will be responsible for laying the building blocks of a world-class back-end architecture and user interface that elevates Sunairio from a revolutionary algorithm to an industry-defining technology.
What we offer:
The opportunity to join an industry-disrupting startup on the ground floor–with significant equity compensationThe focus to work on innovative solutions to problems of critical importanceA truly collaborative team environmentThe ability to help shape company cultureAmazing swagCompetitive salary
Key Responsibilities
The Senior Data Scientist for Electricity Markets will be responsible for overseeing the development and implementation of energy market fundamental and pricing models in multiple markets across North AmericaDesign and develop data visualizations that convey nuance and uncertainty in an actionable mannerRun hybrid machine learning/statistical modelsDevelop clear and succinct descriptions of modeling processes and outputs for use in business development and in customer applicationsCollaborate with the engineering team to develop a world-class user experience
What we’re looking for
Passion for building a new solution to energy price modeling problems that doesn’t rely on traditional dispatch cost methods5+ years of experience in quantitative analytics roles in North American power marketsKnowledge of regional market structures, design, policies, and regulationsKnowledge of recent trends in renewables, distributed energy resources, energy storage, and conventional electricity generationExperience with statistical forecasting models, machine learning, and time series modelingExperience with the Python scientific computing environment (Pandas/Numpy/SciPy/Xarray)Degree (M.S. preferred) in Economics, Finance, Computer Science, Physics, Mathematics, an engineering discipline, or related fieldA creative problem-solver with outstanding communication skills and a commitment to technical excellenceIntellectual curiosity
Equal Opportunity Employer
Sunairio is an equal opportunity employer that does not discriminate on the basis of race, color, religion, sex, national origin, disability, veteran status, marital status, age, sexual orientation, gender identity, or any other legally protected status. We are committed to a diverse workforce and an inclusive workplace environment.
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Senior Data Scientist | Mighty |
As a Senior Data Scientist at Mighty, you will be establishing our analytics function. Data plays a crucial role in Mighty’s opportunity to reshape the personal injury industry, and we have a unique and vast data set to leverage. You will be expected to drive strategic conversations with stakeholders about what we should measure and why as well as what decisions we should make and why. This role can be based our of our offices in New York, NY, Atlanta, GA, or be fully remote (US Only).
Your Mandate
Identify any and all opportunities to better leverage data to inform strategy.
Build and maintain core reporting for the company.
Deliver analyses needed to make better decisions in marketing, product development, and business strategy.
Set the foundation for a scaled data operation with more (future) specialization in each domain (e.g. marketing).
Own our data stack. We are currently using Fivetran for ingestion, dbt for Transformations, and BigQuery as our data warehouse; and we are open to trying new things. The most important component of the stack that we expect for you to own and lead is the transformation layer as it serves a foundational role in the architecture of our analytical capabilities.
Your Experience
4+ years working with business and product data to inform decision-making
A deep interest in how our business works, how decisions get made, and how data could help improve the quality of those decisions
Experience using the tools and techniques of “modern data stacks”
Dashboarding and business intelligence (e.g. Looker, Tableau, Mode, etc.)
Data warehousing (e.g. BigQuery, Snowflake, RedShift, etc.)
Transformation and modeling (e.g. dbt)
Fluency in SQL
Ideally you have comfort with at least one programming language such as Python or R
Onboarding Plan
In the first 30 days you will learn our business and how we work. You will familiarize yourself with our data sets and our data stack.
In the first 60 days you will dive into discovery with stakeholders to begin to identify key metrics. Also, in this period, you will take ownership of our data stack and begin committing code in dbt as well as extending existing dashboards.
In the first 90 days you will have a long term vision and plan for how to leverage data at Mighty.
Hiring Process
The hiring process is a two way street! We want to find someone for whom Mighty is the perfect fit. Please ask us lots of questions to ensure you are learning what you need to learn about us. Here is an overview of how and what we will be assessing throughout the process:
A conversation with hiring manager, VP of Engineering, Aaron Gibralter.
A simple take home test to assess basic technical skills.
A conversation with our recruiting team to go over some basic HR questions.
A conversation with Andrew Bartholomew, who is advising us on building out our analytics function.
“On-site”
A case study interview to assess data exploration and visualization.
A data modeling and programming interview with an engineer.
A stakeholder alignment interview to assess cross-functional communication.
A conversation with our founder, Josh Schwadron.
Please note: we have this role posted under a few different titles as there is not universal alignment on titles in the data world. In the interest of transparency, here is how we think about the nuances of titles with regard to this role:
Analytics Engineer: this best captures a need for technical rigor; however, it may not clearly stress the importance of finding someone with a very strong business sense.
Data Analyst: this is perhaps the most “accurate,” but it may not articulate the technical requirements; we also fear there may be a stigma against this title as “data scientist” may appeal to more people.
Data Scientist: this is most likely resonant with the market, but will likely generate the most noise as it has become a pretty large bucket of different skills and interests.
This article, written by Andrew Bartholomew, summarizes how we are thinking about this role.
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Senior Data Scientist | Thistle |
Who we are
Founded in 2013, Thistle is an early-stage food-tech startup empowering our customers to get and stay healthy while improving our food system’s sustainability. We deliver delicious, organic, healthy, plant-forward meals, cold-pressed juices, and snacks to customers on the West Coast at the elusive intersection of convenience, health, and sustainability.
We don't want to be just another food delivery startup. Our focus is on our customers' health and happiness, and we are revolutionizing how fresh, nutritious, high-quality food is purchased, manufactured, and delivered at scale. Thistle is headquartered in San Francisco, and we are backed by some amazing investors in the Bay Area and beyond. We are excited to build a remote Data team. Candidates should be located within California, Oregon, Washington, Nevada, Arizona, Tennessee, or Maine.
About the Role
Thistle is looking for a passionate Senior Data Scientist to drive decision-making through data. This position will have the opportunity to collaborate with a multi-disciplinary team on a wide array of problems, bringing scientific rigor and statistical methods to the challenges of product development, customer acquisition, operations forecasting, and more.
Questions you might work on include
How can we optimize ingredient forecasting models to drive efficiency and reduce food waste?
How can we leverage meal feedback data to deliver personalized recommendations that delight customers?
Which marketing channels most efficiently drive new customer acquisition? Where can we best allocate spend?
What are the key measures of business health? How can we monitor performance and detect anomalies?
What you'll do
Build a data-driven decision culture throughout the company: empower teams to use data daily while partnering on the most important initiatives.
Develop and deploy machine learning/statistical models to improve the customer experience and drive long-term business health.
Design, analyze, and evaluate experiments. Determine appropriate decision criteria, and communicate results effectively to stakeholders across the company.
Contribute to Thistle’s data model, including defining appropriate dimensions, creating data pipelines, and developing appropriate processes to ensure data quality.
What you'll bring
3+ years of hands-on data science experience
Bachelors/Masters/Ph.D. in a quantitative discipline or equivalent practical experience
Strong statistical knowledge and intuition, including causal inference, experimentation, and statistical modeling
Proficiency in 1+ programming languages (e.g. R, Python)
Excellent business + product acumen, especially the ability to translate key business questions into an impactful analysis
Solid SQL and data visualization skills
A passion for our mission: to make it easy for everyone to get and stay healthy while improving the sustainability of our food system
Life at Thistle
Join a kind, diverse, passionate & driven team of all backgrounds
Enjoy Thistle meals at a substantial discount!
Team-building and Frequent Wellness Events
Comprehensive health benefits (medical, dental, vision)
Flexible time off policy and generous parental leave
Choice of PC or Apple equipment
We understand that everyone is going to have strengths and weaknesses with regard to different aspects of this role. We encourage you to apply even if you feel some of the expectations would be challenging to meet!
Diversity, equity, and inclusion are essential values at Thistle. We know we'll do our best and most impactful work when we feel we're represented and we belong. We're proud to actively recruit and hire talented people from a wide variety of backgrounds and experiences. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. You can get some deeper insight into how we approach DEI, along with some statistics on the internal demographics of the company and leadership team, here: https://www.thistle.co/learn/thistle-thoughts/thistle-on-diversity-equity-and-inclusion.
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Customer Transformation Data Scientist Senior Associate | Pwc |
Job Category Data and Analytics Technology
Level Senior Associate Specialty/Competency Customer Industry/Sector FS X-Sector Job Type Regular Time Type Full time
Travel Requirements Up to 60%
Job ID 256954WD
Location(s) NY-New York | NC-Raleigh | NC-Charlotte | IL-Chicago | OH-Cincinnati | OH-Cleveland | SC-Columbia | OH-Columbus | TX-Dallas | VA-Richmond | MD-Baltimore | NY-Rochester | IL-Rosemont | MA-Boston | CA-Sacramento | MO-St. Louis | UT-Salt Lake City | TX-San Antonio | CA-San Diego | CA-San Francisco | CA-San Jose | WA-Seattle | SC-Spartanburg | AR-Springdale | CT-Stamford | FL-Tampa | GA-Atlanta | OH-Toledo | OK-Tulsa | TX-Austin | DC-Washington | CO-Denver | IA-Des Moines | MI-Detroit | NY-Buffalo | NJ-Florham Park | TX-Fort Worth | FL-Sarasota | NC-Greensboro | FL-Hallandale Beach | PA-Harrisburg | CT-Hartford | TX-Houston | IN-Indianapolis | MI-Grand Rapids | CA-Irvine | NE-Omaha | FL-Jacksonville | MO-Kansas City | NV-Las Vegas | AR-Little Rock | CA-Los Angeles | KY-Louisville | AL-Birmingham | US-Remote | NY-Melville | WI-Milwaukee | MN-Minneapolis | VT-Montpelier | TN-Nashville | LA-New Orleans | OK-Oklahoma City | FL-Orlando | PA-Philadelphia | AZ-Phoenix | PA-Pittsburgh | OR-Portland
A career in our Analytics Technology practice will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. You’ll make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
Our team helps clients navigate various analytics applications to get the most value out of their technology investment and foster confidence in their business intelligence. As part of our team, you’ll help our clients implement enterprise content and data management applications that improve operational effectiveness and provide impactful data analytics and insights.
To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.
As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:
Use feedback and reflection to develop self awareness, personal strengths and address development areas.Delegate to others to provide stretch opportunities, coaching them to deliver results.Demonstrate critical thinking and the ability to bring order to unstructured problems.Use a broad range of tools and techniques to extract insights from current industry or sector trends.Review your work and that of others for quality, accuracy and relevance.Know how and when to use tools available for a given situation and can explain the reasons for this choice.Seek and embrace opportunities which give exposure to different situations, environments and perspectives.Use straightforward communication, in a structured way, when influencing and connecting with others.Able to read situations and modify behavior to build quality relationships.Uphold the firm's code of ethics and business conduct.
Job Requirements and Preferences:
Basic Qualifications:
Minimum Degree Required:Bachelor Degree
Required Fields of Study:Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Engineering, Operations Management/Research, Statistics
Additional Educational Requirements:
Other quantitative fields of study may be considered
Minimum Years of Experience:3 year(s)
Preferred Qualifications:
Preferred Knowledge/Skills:
Demonstrates thorough abilities and/or a proven record of success in the application of statistical methods, data mining or data-driven problem solving, emphasizing a combination of some of the following areas:
Performing in development language environments: e.g. Python, Java, C++, R, SQL, etc. and applying analytical methods to large and complex datasets leveraging one of those languages;Applying statistical modelling, algorithms, data mining and machine learning algorithms problem solving;Manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources;Demonstrating familiarity with machine learning architectures used for text analysis and anomaly detection;Building modularised, configurable and re-usable statistical and predictive models including (but not limited to) natural language processing, decision trees, multi-label classification, regression analysis and neural networks;Applying techniques such as multivariate regressions, Bayesian probabilities, clustering algorithms, machine learning, dynamic programming, stochastic-processes, queuing theory, algorithmic knowledge to efficiently research and solve complex development problems and application of engineering methods to define, predict and evaluate the results obtained; and,Visualizing and communicating analytical results, using technologies such as Tableau, Spotfire, PowerBI and Qlikview.
Demonstrates thorough knowledge and/or a proven record of success emphasizing a combination of some of the following areas:
Assisting with the delivery and tracking of large-scale projects;Demonstrating aptitude for building and implementing predictive models in a highly documented, well presented fashion;Demonstrating aptitude for conducting quantitative and qualitative analyses of large and complex data as it relates to the project requirements in customer transformation;Supporting engagement leads in the interpretation and presentation of model results and model choice rationale;Collaborating with business development teams responsible for writing and presenting proposals to prospective clients, leveraging PC applications including Microsoft Word, Excel, PowerPoint, and Project; and,Managing and/or contributing to project planning, engagement administration, budget management, and successful completion of engagement work stream(s).
For positions in Colorado, visit the following link for information related to Colorado's Equal Pay for Equal Work Act: https://pwc.to/coloradoadvisoryseniorassociate.
All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy
For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.
Please note that, at this time, to be in-person at a PwC office, client location or PwC-sponsored events, you must be fully vaccinated against COVID-19.
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Senior Machine Learning Scientist | Stockx |
About the role
Our Search Team, comprising of Applied Scientists and Software Engineers, specializes in Machine Learning. We work together to build custom machine-learning models that can drive product vision and customer impact. We are looking for individuals who are product driven, and are passionate about making ML innovations in areas such as Ranking, Optimization, Natural Language Processing, Information Retrieval, Graph Learning, Reinforcement Learning to help improve the StockX buyer/seller search experience!
Example Projects:
Develop powerful embeddings to collect salient signals of our customers, product, and user interactions.
Extract real-time signals and multi-modality data (i.e, content and image) from our 5M+ product catalog images and 1M+ listings. Understand semantic content, aesthetic style, materials for ranking and optimization.
Build the first personalized search ranking and real-time in-session personalization.
Implement and compare supervised learning models (i.e, LR, GBDT, and DNNs) or ensembles of models, to improve metrics, often with multiple contending objectives (i.e, relevance, degree of personalization, average value of orders, repeated frequencies/purchases).
Develop models with custom architecture or objective functions that target StockX-specific problems, such as personalized search, revenue optimization, seller fairness, seasonality, etc.
Develop brand-new learning frameworks for query suggestions to understand buyer experience.
What you'll do
Apply the latest advances in deep learning and machine learning to improve buyer and seller experiences on StockX.
Prototype, optimize, and productionize large-scale ML models that help deliver key results in search experience.
Conduct A/B experiments to validate ML models and pipelines.
Work closely with product managers, ML scientists/engineers, full-stack engineers, and designers on product teams to deliver content to tens of millions of users.
About you
Experience with object-oriented or functional software development
Experience working with AWS or other cloud providers
Experience with big data platforms like Spark
Experience with machine learning libraries such as TensorFlow, PyTorch, or MXNet
You have dealt with data exploration, analysis, and feature engineering
You have relentlessly high standards for the products you deliver
Work effectively in an agile development process
Bonus points:
You have a Ph.D. degree in Computer Science or related engineering fields, or 5+ years of practical machine learning experience.
You have published at peer-reviewed conferences, such as ICML, KDD, SIGIR, WSDM, etc. or you have given talks/tutorials in the industrial conferences like Spark Summit.
You have experience using AWS Cloud Platform.
You have experience in building production search, recommendations, advertising, or general e-commerce systems.
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Senior Data Scientist | Blocpower |
About Iggy 🌱
The team at Iggy wants to help you understand place. Founded by an Ex-Airbnb data scientist (Lindsay), we empower data scientists, machine learning engineers and product developers to build innovative products, models and apps that leverage location data and context. Today Iggy is focused on providing data enrichment products and tools to data scientists. It’s a really exciting time for us–we’re collaborating with design partners primarily in Real Estate to refine our first product. A year from now, we expect to be scaling this data enrichment product and branching out into providing more services and models for companies across various verticals looking to leverage geographic data.
We’re a seed-stage startup backed by some amazing institutional investors including First Round Capital and Amplify, an incredible micro VC Brianne Kimmel/WLV, the Airbnb Alumni Investment Syndicate AirAngels, as well as founders from Plaid, Looker, Instacart, and other high value-add investors.
You'll be joining a small, fun, mission-oriented and mature team. We're intentional about the products we build and the culture we create. We value creativity, curiosity, problem-solving, kindness and diversity. We love what we do for work, and we do other things too: our founder is an avid rock climber, traveler, and cheese fanatic. Other team members cook and garden, play video games and ride motorcycles. We value who you are outside/beyond work and are excited to support you in your passions.
Please read our diversity statement.
About the Role
We’re growing our Data Science team and looking for geospatial expertise. Specifically, we want to find someone who is excited about ideating, prototyping, and releasing models that power location-based insights for customers.
In this role you will help us build our initial product and bring it to market. We don’t have everything figured out so we’re looking for someone who has experience working in an early-stage company and who is experimental, comfortable with ambiguity, and loves to take on an ambitious challenge. You will be expected to bring your technical expertise and knowledge to inform our broader business strategy and be passionate about our audience - data scientists and ML engineers. You should be comfortable and confident sharing your perspective, goals, and results with the broader company as a core team member.
This role has an incredible opportunity for growth across technical, product and leadership/management realms. As an early stage startup, we have more hypotheses than answers. It makes for a wild ride and isn’t for everyone. But if you want to grow on multiple fronts, we’d love to chat.
This position is a full-time, benefits eligible position based anywhere in the United States. The salary range for this position is $145k-175k annually. As a member of our team, you’ll also be eligible for meaningful employee equity.
Success Looks Like ✅
Work closely with our product team to understand the location-related insights that are valuable to our early users, and work with the data science team to implement generalizable, scalable solutions.Provide input to Iggy’s data science roadmap, based on a solid understanding of customer needs and implementation details.Design and implement systems to understand and improve our data quality.Know what we can do with the data we have on hand, and what we could do with additional data sources. Help to prioritize data acquisition efforts.Be an Iggy evangelist. Stay up-to-date on the world of geospatial data science and have an opinion about where we fit in. Share your thoughts internally with the team, and externally with the world.
About You
You’ve been working in a hands-on data science role for at least 3-5 years, and for some or all of that time you’ve worked with geospatial data. You’re excited to use your technical expertise to answer questions like:•How do I know whether a length of coastline is a place I’d actually go to enjoy the beach?•Is there a reliable way to distinguish properties that are on the beach from those that are a short walk from the beach?•How can we measure the quality of our Points of Interest data?
You are comfortable using open-source frameworks to ingest, manipulate, and analyze geo data.You get energy from solving problems for other data scientists like yourself. You’d be keen to interact with them directly in order to learn about their pain points and show off your solutions.You’re comfortable enough with cloud-based deployment frameworks (like Docker, GCP/AWS/Azure) to use them with some guidance/support from the engineering team.You have experience in, or understand the implications of, working in an early-stage startup. You’re not afraid to learn quickly, stretch your skill set, or pivot as needed.
We'd love to see a side project/portfolio or even better, a blog post from any potential candidates!
Benefits 🎁
We offer a robust package of benefits that includes:
Remote First Company - work from where you want to live (in the US)!100% Company paid premiums for medical, dental and vision50% paid premiums for dependents401(k) retirement planEmployer-paid Life Insurance and AD&D BenefitsPaid Parental LeaveFlexible Time Off Professional Development Team off-sites
Iggy is an Equal Opportunity Employer. We are committed to promoting a diverse and inclusive environment for all current and future employees.
How to Apply
Email us at [email protected] and specify the job you are applying for in the subject line. Applications that include links to github, portfolio, and/or blog posts will be fast-tracked for review. No agencies please.
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Sr Data Scientist Partnership Analytics | Aura |
About The Role
We are looking for a Data Superstar who possesses a passion for data, metrics, and uncovering actionable insights. As a Product Data Analyst, you’ll partner with our Product, Engineering, Marketing, Design teams and other Data Analysts to help AURA build a magical consumer product solution that brings together privacy, security, and identity protection capabilities. You will be focused on behavior and feature engagement analytics to help product owners and stakeholders improve the customer experience. Our ideal candidate loves digging into the metrics and details, and is proficient in bringing to life insights through clear storytelling.
Responsibilities
Create and maintain product health metrics and dashboards
Investigate data issues and escalate them to the relevant group when needed
Provide tracking requirements for mobile, desktop and web applications
Develop compelling dashboards to measure the impact of new product features or business initiatives
Perform an ad-hoc analysis while working closely with Product Owners helping them to understand the data and make decisions
Interact with multiple teams to better understand structure, meaning and source of data
Provide quarterly analysis on key product features usage and trends, to identify insights and areas of improvement for product
Qualifications
BA/BS degree, 5+ years of experience as a data analyst
Proficient with SQL, comfortable working with large datasets and multiple data sources
Ability to write SQL for both ad-hoc analyses and scheduled ETL
Experienced with Tableau visualization and storytelling
A team player and self-starter with great interpersonal skills and a solution-oriented attitude
Great at distilling data into actionable insights and recommendations
Manipulate, transform, and analyze complex, high-volume, high-dimensional data
Experience and passion for developing the right metrics and dashboards/visualizations
Ability to work cross-functionally with stakeholders from across the business
#LI-REMOTE
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Senior Data Scientist Financial Services | Red Ventures |
What You'll Do
Design and execute multi-disciplinary data science solutions effectively and efficiently.
Partner with business leaders and work effectively across business, creative, and engineering groups to solve problems. Help build a positive culture across technical and business teams.
Provide guidance to the broader data science community within RV on the design and execution of the data science projects, especially when relevant to expertise.
Further the data science team’s technical capabilities by bringing novel methods from the field into RV through research, software development, and teaching others.
Drive the development of junior team members through mentorship and coaching.
Help create and promote an inclusive environment where team members feel comfortable and empowered.
What We Are Looking For
4+ yrs of professional experience in a data science role with an MS or PhD in STEM with a focus in ML, statistical modeling, or optimization.
Our core problems to solve are:
Website Personalization - using contextual multi-armed bandits and other reinforcement learning approaches.
SEO Optimization - using natural language processing and generation, deep learning, and explainable supervised learning.
Marketplace Optimization - using forecasting, multi-level modelling, linear programming, and other constraint-based optimization approaches.
Candidates with specific expertise in any of these areas will be highly preferred.
Knowledge of end-to-end software development, deployment, and monitoring workflows.Ability to methodically understand business context, define value propositions, and formulate and solve complex data science problems.
Ability to clearly articulate the “why” behind proposed data science solutions to the relevant stakeholders.
Ability to own key deliverables and use problem solving to deliver projects on time and iterate when justified by potential, incremental value.
Ability to intake business requests/priorities and then prioritize bodies of work, communicating project status, timeline, and technical results to broad audiences.
Proficiency in one or multiple literate statistical programming languages such as R, Python, and Scala. Our data science team primarily builds production algorithms in python, but we are open to candidates with different backgrounds.
Experience expanding the knowledge of a data science team on topics where you have specific expertise through teaching and mentoring.
Experience leveraging technical expertise to identify the feasibility of potential data science projects, ensuring the team is delivering value on projects that are feasible.
Experience developing skills specific to a specialization or expertise through research skills like literature reviews and communication of findings.
Who We Are
Founded in 2000, Red Ventures is a portfolio of growing digital businesses that bring consumers and brands together through integrated e-commerce, strategic partnerships and many proprietary brands including Bankrate, AllConnect.com and Reviews.com. Headquartered south of Charlotte, NC, Red Ventures has over 3000 employees in offices across the US, as well as London and Sao Paulo. For more information, visit www.redventures.com.
We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.
Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person’s merit and qualifications.
We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact [email protected].
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Data Science Manager | Red Ventures |
Data Science Manager
What You'll Do
Lead a team of data scientists and data analysts by defining technology strategy, creating and managing a project portfolio, tracking key performance indicators, and driving daily execution to achieve desired business outcomes.
Provide necessary coaching and assistance to team members on technology development, project execution, and personal development.
Collaborate effectively with other functions to set team priorities, influence work approaches, and solve operational/organizational challenges.
Contribute to the organizational strategy as a member of the leadership team in the functional, product, or industry groups.
Help create and promote an inclusive environment where team members feel comfortable and empowered.
What We Are Looking For
4+ years of professional experience in a data science role with an MS or PhD in STEM with a focus in ML, statistical modeling, or optimization
2+ years of relevant experience managing a team of data scientists.
Our core problems to solve are:
website personalization - using contextual multi-armed bandits and other reinforcement learning approaches.
SEO optimization - using natural language processing and generation, deep learning, and explainable supervised learning.
marketplace optimization - using forecasting, multi-level modelling, linear programming, and other constraint-based optimization approaches.
Candidates with specific expertise in any of these areas will be highly preferred.
Knowledge of end-to-end software development, deployment, and monitoring workflows.
Ability to develop a team of varied levels of seniority and expertise through direct leadership, training, and feedback.
Ability to aggregate and assess impact of the team’s work, staff projects accordingly based on technical skills, career goals, and priority.
Strong business acumen, project management, and priority setting skills.
Ability to both tactically execute data science priorities and develop capabilities of the team. Ability to create and implement changes when necessary based on efficiency and effectiveness of the team.
Experience expanding the knowledge of a DS team on topics where one has special expertise.
Experience effectively scaling leadership and subsequent impact to a larger team or a larger scope of responsibility.
Experience leveraging technical expertise to identify the feasibility of potential DS projects, ensuring the team is delivering value on problems that are feasible.
Experience working with direct reports to create development plans and then actively making available opportunities for growth that align with goals, including the preparation and delivery of reviews.
Experience contributing to the development of the broader DS team culture and identity.
A Red Ventures Brand
Over the last twenty years, Red Ventures has built a portfolio of influential brands, digital platforms, and strategic partnerships that work together to connect millions of people with expert advice. Through premium content and personalized digital experiences, Red Ventures builds online journeys that make it easier for people to make important decisions about their homes, health, travel, finances, education and entertainment. Founded in 2000, Red Ventures has 3,000 employees in 10 cities across the US, as well as in the UK and Brazil. Red Ventures owns and operates several large digital brands including Healthline, The Points Guy, Bankrate, MYMOVE, and Allconnect.com.
For more information, visit https://redventures.com and follow @RedVentures on social platforms.
We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.
Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications.
We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact [email protected].
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Senior Principal Data Scientist | Splunk |
About Splunk:
Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!
As part of Splunk’s R&D organization, the Data Science Team is passionate about providing quantitative analytics and evidence to inform business decisions. We focus on developing deep, quantitative understanding of how customers buy, use and adopt Splunk products and services. We partner with cross-functional business stakeholders to identify and address critical business questions and use data, analytical methods, and modeling to translate quantitative assessments into actionable insights. Rigorous data science research and analyses inform business challenges such as guiding product roadmaps, streamlining engineering development lifecycles, and accelerating customer adoption and utilization trends. We are seeking a Senior Principal Data Scientist who is passionate about framing and solving practical business questions with rigorous, quantitative data science approaches.
Role:
As a Senior Principal Data Scientist, you will partner with Splunk leaders to articulate crisp business questions and develop the architecture and methodologies needed to execute quantitative assessments and analytics that provide context and evidence to answer these questions. This will encompass creating a collaborative environment with other scientists and engineers to use rigorous quantitative research methods and data presentation to uncover the factors that drive business solutions. You will help architect and build the analytical experiments, models, reports, and dashboards and translate quantitative assessments into actionable insights.
Responsibilities:
Serve as a go-to technical resource for other data scientists. Structure and build analytical experiments, models, reports, and dashboards using statistical and other quantitative analytical methods.Model technical excellence across the end-to-end data science life cycle. Lead technical reviews and set the bar for excellence in data science projects across the organization.Model and mentor others in structuring business questions, developing work statements, and documenting and delivering analysis plans in tangible, practical, and clear prose & presentation forms.Lead investigator in analysis projects. Serve as the technical guide and direct the work of other data scientists and analysts. Deliver results in clear prose & presentation forms.Ensure rigor in underlying methods to retrieve, condition, validate, synthesize, and manipulate data.Create order from chaos - provide structured solutions for ambiguous problems Translate metrics and analytics into digestible products that inform business decisionsIterate, document, and communicate throughout problem lifecycle. Serve as a model resource for excellence in data science delivery.
Requirements:
Passion for framing and solving practical data-driven business questionsSelf-starter with a demonstrated track record of critical thinking translated into concrete products.Demonstrated ability to work across executive-level business stakeholders.Demonstrated track record of transforming ill-defined requirements into structured data science problems, serving as a technical leader for selecting and structuring scientifically rigorous methods, and breaking down large and complex problems that engage other engineers & scientists.Agility manipulating, synthesizing, and interpreting large and diverse datasets.Deep software engineering skills in an interpreted language. Ability to lead technical data science method and code reviews. Deep experience with statistical methods and software packages.MS or PhD in Computer Science, Statistics, Applied Math, Physics, Engineering or other technical field preferred or equivalent practical experience12+ years of professional experience in quantitative analysis, research, data science or engineering (statistics, applied math, inference, predictive methods, uncertainty quantification, design of experiments, etc.) including project leadership.Demonstrated written and verbal communication, collaboration, and mentoring skills.Strong analytic storytelling skills.
We value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.
For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records.
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Principal Data Scientist | Splunk |
About Splunk:
Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!
As part of Splunk’s R&D team, we are passionate about providing quantitative analytics and evidence to inform business decisions. We partner with cross-functional business stakeholders to identify and address critical business questions and use data, analytical methods, and modeling to translate quantitative assessments into actionable insights. Analyses inform business challenges such as guiding product roadmaps, streamlining engineering development lifecycles, and accelerating customer adoption and utilization trends. We are seeking a Principal Data Scientist/Engineer who is passionate about framing and solving practical business questions with data-driven analytics.
Role:
As a Principal Data Scientist, you will partner with Splunk leaders to articulate crisp business questions and develop the architecture and methodologies needed to execute quantitative assessments and analytics that provide context and evidence to answer these questions. This will encompass creating a collaborative environment with other scientists and engineers to use quantitative analysis and data presentation to uncover the factors that drive business solutions. You will help architect and build the analytical experiments, models, reports, and dashboards and translate quantitative assessments into actionable insights.
Responsibilities:
Structure business questions and develop analysis plansLead analysis projects and guide other analysts/engineersEnsure production quality methods to retrieve, condition, validate, synthesize, and manipulate dataStructure and build analytical experiments, models, reports, and dashboards using statistical and other quantitative analytical methodsCreate order from chaos - provide structured solutions for ambiguous problems Translate metrics and analytics into digestible products that inform business decisionsIterate, document, and communicate throughout problem lifecycle
Requirements:
Passion for framing and solving practical data-driven business questionsSelf-starter with a demonstrated track record of critical thinking translated into concrete productsDemonstrated ability to work across business stakeholders, structure data science problems, independently execute analysis, and also mentor other engineers/scientistsMS or PhD in Computer Science, Statistics, Applied Math, Physics, Engineering or other technical field preferred or equivalent practical experience 8+ years of professional experience in quantitative analysis, research, data science or engineering (statistics, applied math, inference, predictive methods, uncertainty quantification, design of experiments, etc.) including project leadershipDeep software engineering skills in an interpreted languageAgility manipulating, synthesizing, and interpreting large and diverse datasetsDeep experience with statistical methods and software packagesExcellent communication, collaboration, and mentoring skillsStrong analytic storytelling skills
We value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.
For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records.
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Senior Data Scientist | Splunk |
About Splunk:
Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!
As part of Splunk’s R&D team, we are passionate about providing quantitative analytics and evidence to inform business decisions. We partner with cross-functional business stakeholders to identify and address critical business questions and use data, analytical methods, and modeling to translate quantitative assessments into actionable insights. Analyses inform business challenges such as guiding product roadmaps, streamlining engineering development lifecycles, and accelerating customer adoption and utilization trends. We are hiring Data Scientists and Engineers who are passionate about solving practical business questions with data-driven analytics.
Role:
As a Data Scientist/Engineer, you will execute quantitative assessments and analytics that provide context and data-driven evidence to answer business questions. This will encompass identifying and parsing data, conducting exploratory analysis, identifying and visualizing trends, building and validating models, and translating quantitative assessments into actionable insights.
Responsibilities:
Develop and execute analysis plansIdentify and build systematic data pipelinesDevelop and maintain methods to retrieve, condition, validate, synthesize, and manipulate dataConduct exploratory analysisIdentify and visualizing trendsBuild and validate modelsIterate, document, and communicate throughout problem lifecycle
Requirements:
Passion for solving practical data-driven business questionsSelf-starter with a demonstrated track record of critical thinking translated into concrete productsMS or PhD in Computer Science, Statistics, Applied Math, Physics, Engineering or other technical field preferred or equivalent practical experience5+ years of professional experience in quantitative analysis, research, data science or engineering (statistics, applied math, inference, predictive methods, uncertainty quantification, design of experiments, etc.)Strong software engineering skills in an interpreted languageExperience manipulating and interpreting large and diverse datasetsStrong understanding of statistical methods and software packagesExcellent communication and collaboration skills
We value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.
For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records.
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Senior Data Scientist | Signifyd |
All Signifyd Jobs
Senior Data Scientist
Apply now
Austin (Remote) • Chicago (Remote) • New York City • United States (Remote)
Signifyd leads the world in bringing the insights, innovation and compassion required to foster fearless commerce in a time of increasing digital threats. Working with some of the industry’s most recognizable retailers and brands, we are focused on using technology to enhance customer lifetime value and protect enterprises from fraud so they can focus on growing their business.
We process billions in ecommerce transactions annually through our Commerce Network of thousands of merchants selling in more than 100 countries. We focus every day on harnessing machine learning and artificial intelligence in more powerful ways to maximize our customers’ revenue and their security. None of that happens without the right people.
Our team’s strength is in its diversity and its acceptance of new ideas and new ways to look at old challenges. We are dedicated disruptors designing a new world of commerce at scale. We know humans are not one-dimensional and we celebrate the uniqueness each individual brings to the problems we solve and the culture we create.
Data Science at Signifyd
The Data Science team builds production machine learning models that are the core of Signifyd’s product.
We help businesses of all sizes minimize their fraud exposure and grow their sales. We also improve the e-commerce shopping experience for individuals by reducing the number of folks’ orders that are incorrectly declined and by making account hijacking less profitable for criminals.
The team has end-to-end ownership of our decisioning engine, from research and development to online performance and risk management.
We value collaboration and team ownership — no one should feel they’re solving a hard problem alone.
Together we help each other develop our skill sets through peer review of experiments and code, group paper study to deepen our ML and stats understanding, and frequent knowledge-sharing via live demos, write-ups, and special cross-team projects.
The Data Science and Engineering teams at Signifyd have always had a strong contingent of remote folks, individual contributors as well as team leads. The challenges of working remotely aren’t new to us and we have a track record of iterative improvements to our remote culture.
Here you’ll have the opportunity to:
Build production machine learning models that stop fraud rings
Think creatively to engineer new features that identify fraudulent behavior
Devise algorithmic approaches to payments risk management that evolve the process from one that’s human-driven and heavy on gut feel to one that is quantitatively-rigorous and leverages an ecosystem of in-house tools
Work collaboratively with other teams across the company on strategies to tackle entirely new e-commerce verticals, geographical regions, and product offerings
Mentor other team members and help to foster a psychologically-safe environment that allows everyone on the team to leverage their full creativity and grow professionally
Past experience you’ll need:
A degree in computer science or a comparable quantitative field
At least 5 years of post-undergrad work experience
Building production machine learning models (they don’t need to have been related to fraud)
Hands-on statistical analysis with a solid fundamental understanding
Writing code and reviewing others’ in a shared codebase, preferably in Python
Practical SQL knowledge
Familiarity with the Linux command line
Bonus points if you have:
Previous work in fraud, payments, or e-commerce
A Master's Degree or PhD
#LI-Remote
Benefits in the USA:
4-day workweek
Discretionary Time Off Policy (Unlimited!)
Talkspace Online Therapy Membership
Dedicated learning budget through Learnerbly
401K Match
Stock Options
Annual Performance Bonus or Commissions
Paid Parental Leave (12 weeks)
Health Insurance
Dental Insurance
Vision Insurance
Flexible Spending Account (FSA)
Short Term and Long Term Disability Insurance
Life Insurance
Company Social Events
Signifyd Swag
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Data Scientist | Signifyd 163Eb378 10A1 4825 8330 0337De5Ccc9B |
All Signifyd Jobs
Data Scientist
Apply now
Austin (Remote) • Chicago (Remote) • New York City • Orlando (Remote) • United States (Remote)
Signifyd leads the world in bringing the insights, innovation and compassion required to foster fearless commerce in a time of increasing digital threats. Working with some of the industry’s most recognizable retailers and brands, we are focused on using technology to enhance customer lifetime value and protect enterprises from fraud so they can focus on growing their business.
We process billions in ecommerce transactions annually through our Commerce Network of thousands of merchants selling in more than 100 countries. We focus every day on harnessing machine learning and artificial intelligence in more powerful ways to maximize our customers’ revenue and their security. None of that happens without the right people.
Our team’s strength is in its diversity and its acceptance of new ideas and new ways to look at old challenges. We are dedicated disruptors designing a new world of commerce at scale. We know humans are not one-dimensional and we celebrate the uniqueness each individual brings to the problems we solve and the culture we create.
The Data Science team builds production machine learning models that are the core of Signifyd's product.
We help businesses of all sizes minimize their fraud exposure and grow their sales. We also improve the e-commerce shopping experience for individuals by reducing the number of folks' orders that are incorrectly declined and by making account hijacking less profitable for criminals.
The team has end-to-end ownership of our decisioning engine, from research and development to online performance and risk management.
We value collaboration and team ownership — no one should feel they're solving a hard problem alone.
Together we help each other develop our skill sets through peer review of experiments and code, group paper study to deepen our ML and stats understanding, and frequent knowledge-sharing via live demos, write-ups, and special cross-team projects.
The Data Science and Engineering team at Signifyd have always had a strong contingent of remote folks, individual contributors as well as team leads. The challenges of working remotely aren't new to us and we have a track record of iterative improvements to our remote culture.
How you’ll have an impact:
Researching real-time emerging fraud patterns with our Risk Intelligence team
Thinking strategically to optimize the key components of the Signifyd Commerce Protection Platform
Communicating complex ideas effectively to a variety of audiences
Building production machine learning models that identify fraud
Writing production and offline analytical code in Python
Working with distributed data pipelines
Collaborating with engineering teams to continuously strengthen our machine learning pipeline
Past experience you’ll need:
A degree in computer science or a comparable analytical field
At least 2-3 years of post-undergrad work experience required
Using visualizations to communicate analytical results to stakeholders outside your team
Hands-on statistical analysis with a solid fundamental understanding
Writing code and reviewing others’ in a shared codebase, preferably in Python
Practical SQL knowledge
Designing experiments and collecting data
Familiarity with the Linux command line
Bonus points if you have:
Previous work in fraud, payments, or e-commerce
Data analysis in a distributed environment
Passion for writing well-tested production-grade code
A Master's Degree or PhD
#LI-Remote
Benefits in the USA:
4-day workweek
Discretionary Time Off Policy (Unlimited!)
Talkspace Online Therapy Membership
Dedicated learning budget through Learnerbly
401K Match
Stock Options
Annual Performance Bonus or Commissions
Paid Parental Leave (12 weeks)
Health Insurance
Dental Insurance
Vision Insurance
Flexible Spending Account (FSA)
Short Term and Long Term Disability Insurance
Life Insurance
Company Social Events
Signifyd Swag
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Senior Data Science Manager | Signifyd |
All Signifyd Jobs
Senior Data Science Manager
Apply now
Austin (Remote) • Boston (Remote) • Chicago (Remote) • New York City (Remote) • Orlando (Remote) • United States (Remote)
Signifyd leads the world in bringing the insights, innovation and compassion required to foster fearless commerce in a time of increasing digital threats. Working with some of the industry’s most recognizable retailers and brands, we are focused on using technology to enhance customer lifetime value and protect enterprises from fraud so they can focus on growing their business.
We process billions in ecommerce transactions annually through our Commerce Network of thousands of merchants selling in more than 100 countries. We focus every day on harnessing machine learning and artificial intelligence in more powerful ways to maximize our customers’ revenue and their security. None of that happens without the right people.
Our team’s strength is in its diversity and its acceptance of new ideas and new ways to look at old challenges. We are dedicated disruptors designing a new world of commerce at scale. We know humans are not one-dimensional and we celebrate the uniqueness each individual brings to the problems we solve and the culture we create.
How you’ll have an impact:
Leading a team of Data Scientists and helping them set goals, collaborate, and scale
Providing mentorship to team members through feedback, coaching, and hands-on technical guidance, focusing on their long-term growth
Partnering with senior leaders including Product & Engineering to ensure data-driven decisions across the organization by applying the appropriate data science & analytics approaches where they will have a material impact
Thinking strategically to optimize the key components of the Signifyd Commerce Protection Platform
Collaborating with engineering teams to continuously strengthen our machine learning pipeline
Researching real-time emerging fraud patterns with our Risk Intelligence team
Building production machine learning models that identify fraud
Writing production and offline analytical code in Python
Working with distributed data pipelines
Past experience you’ll need:
A degree in computer science or a comparable analytical field
2+ years of experience in people management with experience building teams and growing talent
At least 4 years of post-undergrad work experience required
Experience leading projects that depend on the contributions of others in multiple teams
Using visualizations to communicate analytical results to stakeholders outside your team
Hands-on statistical analysis with a solid fundamental understanding
Writing code and reviewing others’ in a shared codebase, preferably in Python
Practical SQL knowledge
Designing experiments and collecting data
Familiarity with the Linux command line
Experience we love to see:
Experience managing remote teams
Previous work in fraud, payments, or e-commerce
Data analysis in a distributed environment
Passion for writing well-tested production-grade code
#LI-Remote
Benefits in our US offices:
4-day workweek
Discretionary Time Off Policy (Unlimited!)
Talkspace Online Therapy Membership
Dedicated learning budget through Learnerbly
401K Match
Stock Options
Annual Performance Bonus or Commissions
Paid Parental Leave (12 weeks)
Health Insurance
Dental Insurance
Vision Insurance
Flexible Spending Account (FSA)
Short Term and Long Term Disability Insurance
Life Insurance
Company Social Events
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Senior Data Scientist | Komoot |
About komoot
Komoot is an app that lets you find, plan, and share adventures. Driven by a desire to explore, and powered by the outdoor community’s recommendations, it’s Komoot’s mission to inspire great adventures making them accessible to all. And we’re good at what we do: Google and Apple have listed us as one of their Apps of the Year numerous times!
Today, with over 25 million users and 200,000 five-star reviews, Komoot is well on its way to becoming the most popular cycling and hiking app for people who love adventures worldwide.
Join our fully remote team and change the way people explore!
About the role
We are now experiencing an accelerated growth and we're looking for an experienced Data Scientist dedicated to improving the product experience. As a young tech company, we know how user engagement can be boosted by personalisation, recommendations, user-segmentations and smart retention hooks. Using a wide range of different data sets, from common analytics/product data to unusual data sets like GPS recording and social relations, you will drive product enhancements forward that will directly impact 23 million users.
We believe that innovations based on data science will reinforce and extend our leadership in the outdoor market and your role will be decisive for komoot's success.
Ready for your next adventure?
What you will do
Work on a wide range of data science projects: Examples include improving the ranking and composition of our feed, bringing our follower recommendations to the next level and helping us keep users engaged.Turn your ideas into data products ready for our production systems.Deploy and monitor your code in our AWS Cloud (you can count on the support of experienced backend engineers).Work with the Python Data Science Stack and a modern AWS infrastructure.Identify how to best leverage our data to improve our platform.Discuss product improvements, technical possibilities and road maps.
Why you will love it
You will deal with a diverse set of data (location data, social network, user content (images, text), external data sources like OSM, product analytics, ...).You will go beyond prototyping and ship your code to productionYou will contribute to a product with a vision to inspire more people to go outdoors.You will work in a fast-paced startup with strongly motivated and talented co-workers.You will enjoy the freedom to organize yourself the way you want .We let you work from wherever you want, be it a beach, the mountains, your house, coworking center of your choice, or anywhere else that lies in any time zone situated between UTC-1 and UTC+3.You will travel together with our team to amazing outdoor places several times a year to exchange ideas, learnings and go for hikes and rides.
You will be successful in this position if you
Have a passion for finding pragmatic and smart solutions to complex problemsHave a solid understanding of math and statisticsHave 3+ years of industry experience in data scienceMaster Jupyter, pandas, NumPy, matplotlib/seaborn, scikit-learn and XGBoost/LightGBM/CatBoostBonus: TensorFlow, Keras or PyTorchKnow SQLLove to write clean, maintainable and tested Python codeHave experience productionising your data science solutionsHave strong communication and team skillsHave a hands-on attitude and are highly self-drivenBonus: Know statically typed languages such as Kotlin/Java/C or GoBonus: Have cloud experience (e.g. with AWS)Bonus: Have BigData experience (e.g. Spark, Presto, Hadoop)
Sound like you?
We would like to hear from you!
Your CV in English highlighting your most relevant experienceA write-up explaining who you are and why you are interested in working at komootExamples of your work (e.g. GitHub Repositories, PDFs, Slideshare, etc.)Feel free to send us something that shows us a little more about what you’re interested in, be it your Twitter/Instagram account, your blog or something else
Curious to find out more about our recruitment process?
Find out more info here: https://www.komoot.com/jobs-processAt komoot we want to make great adventures accessible to everyone. We support diversity and inclusivity within the outdoors and welcome all prospective applicants.We have a rolling recruitment process. If this role is online it means it’s still open. We’re accepting applications and actively looking for the perfect candidate. Is it you?
Perks
Dedicated time and budget to spend on classes, events, conferences, boot camps, or books for your curiosity and personal development, you decide!Get access to generous discounts from leading outdoor and cycling brands and moreFlexible working hours and locations3 all- expenses paid Company gatherings per yearThe latest devices and equipmentAnd more!
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Director Of Data Science | Crisis Text Line |
Role
As Director of Data Science, you will lead a team of data scientists to inform, influence, support, and execute data-driven strategy and research in order to improve the lives of the people in crisis. You will champion data-informed culture across the organization to maximize the organization’s impact within the mental health industry. You will be promoting the team’s mission and vision, setting appropriate data-driven goals and selecting research methods that ground decision making in evidence. You will grow the data team and support performance, learning, and provide mentorship to advance professional development.
About Our Data
Since Crisis Text Line was founded in 2013, people in crisis have started over 6 million conversations with Crisis Counselors, and exchanged over 200 million text messages with them in the process. Our team of data scientists study this unparalleled dataset to better understand the language of mental health crisis and to inform operational decisions to serve our texters as Crisis Text Line scales over the next few years.
Responsibilities
Manage and mentor data team individual contributors and managers to help them advance in their careers and increase their proficiency with data and research, collaboration, and leadership skills;
Grow our data team, working with our recruiters to hire extraordinary people from varied backgrounds;
Develop and refine data team structures and processes to support our goals, including becoming an inclusive, diverse, and equitable organization;
Guide development of data and research capabilities and tools by providing input on collection, storage, and analysis methods, while promoting data and research best practices
Work closely with engineering, product, and other internal stakeholders to plan data strategy, scope out resource requirements, and craft timelines
Liaise with affiliates to understand problems, manage expectations and resolve issues;
Advise Senior Leadership Team on evidence-based decision making;
Support your team and direct reports by setting clear team and individual goals, providing consistent and actionable feedback, and encouraging professional development;
Actively support team learning on issues of data equity and ethics, and apply understanding through ongoing learning, reflecting and dialogue
Advocate for the data team and surface points of friction and blockers to team effectiveness and work to remove or mitigate as possible
Qualifications
3+ years of relevant leadership experience in managing a team and setting strategy
5+ years of relevant data and/or research experience
Strong people and project management skills
Effective communication skills
Hiring and talent development experience, including building a diverse team across levels and backgrounds
Demonstrated analytical, strategic, and leadership capabilities with the ability to thrive in a fast-paced and constantly evolving environment
Understanding and experience with best practices in critical data, scientific, and research domains including:
Data collection, storage, and analysis
Mixed research methods, including quantitative and qualitative
Metric development, metric-based goals, and applications of data to inform decision-making
Data governance, data equity, and ethics
Data security, privacy, and confidentiality
Machine Learning and Algorithms
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Data Scientist | Solstice |
Title: Solstice Initiative Data ScientistTerm: Full-time Compensation: $100,000-120,000/yearLocation: RemotePosition Overview: Solstice Initiative is a nonprofit that empowers traditionally excluded communities towards a just and inclusive clean energy transition. As the fossil fuel industry continues to exacerbate the climate crisis, frontline communities bear the brunt of its effects while spending a disproportionate share of household income on their utility bills. Solstice works at the nexus of clean energy and social justice to provide all households, regardless of race, ethnicity, income, homeownership status or other factors access to clean energy through community-driven projects, research and innovation, clean energy education, and advocacy for inclusive clean energy policies Solstice Initiative is seeking an experienced Data Scientist to join our team and continue the development of our EnergyScore product and assist in Solstice’s research to expand access to clean energy in the United States. EnergyScore, an alternative to traditional credit scores, is a machine learning-based algorithm that improves access to clean energy products for low-to-moderate-income households. By predicting the probability of utility payment delinquency using several consumer datasets, Solstice can ensure better accuracy in consumer underwriting for clean energy while making the industry more inclusive. The Data Scientist will work with Solstice’s C-Corporation arm, Solstice Power Technologies, to improve and commercialize our EnergyScore, a machine-learning based algorithm used to qualify consumers for residential clean energy products in lieu of FICO scores. In addition to working on our EnergyScore product, the Data Scientist will contribute to data analyses for other research and innovation projects that aim to expand access to clean energy in the U.S. The Solstice team works with a start-up mentality where everyone equally contributes to our vision and strategy and prioritizes equity and inclusion in our internal and external work above all. The right candidate is passionate about environmental justice and social equity, is comfortable with project management, has an understanding of data science for sociotechnical systems, and at least a basic knowledge of machine learning. To be successful, you will need strong software skills, technical aptitude, communication skills and a collaborative work style. Candidates that may require additional accommodations for this role are welcomed and encouraged to apply. Responsibilities: Be the primary owner for EnergyScore’s machine learning technology, including all previous work to-date and future improvements to the model Conduct research and analyses as to bias and fairness related to the EnergyScore product, including literature review and experimentation; implement findings to improve EnergyScore Partner with software development team to develop the EnergyScore model as a commercialized software product Develop plan for continuous improvement of EnergyScore model’s accuracy, inclusivity and fairness. Analyze and report on outcomes and performance of EnergyScore model Work alongside research team to analyze data sets for federally funded research projects related to equity in the solar energy sector, including multifactor regression analyses Communicate research findings to external audiences including funders and industry thought leaders Publish papers or attend conferences to disseminate knowledge of Solstice’s research Qualifications: Strong written and verbal communication skills: Translate complex concepts, findings, and limitations into concise, plain language in briefs and visualizations. Closely tie findings and conclusions into the agency mission, original problem statement and team objectives. Research and design presentations and interpretations of analytical outputs tailored to specific audiences including the use of interactivity and narrative storytelling where appropriate Expertise with the core data science languages (such as Python, R, Scala), and familiarity & flexibility with database systems (e.g. SQL, NoSQL) Experience with designing and applying machine learning techniques at scale and their tuning parameters (Neural Networks, Random Forest, Bayesian Models, K-Means Clustering) Study Design and Data Analysis: Consulting with stakeholders to identify the appropriate data, methodological approach, and design. Conduct analyses to explore/group data, test hypotheses, predict outcomes, estimate causal impacts of policy, and inform decisions. Understanding of or willingness to learn and apply knowledge from the field of fairness in AI and responsible AI practices Hands on experience with software design for scalability, reliability, and performance An M.S., P.H.D., or equivalent experience in a related discipline (Engineering, Mathematics, Physics, or C.S.) Demonstrated experience collaborating across diverse department and teams Project Management skills Excellent organizational skills and critical thinking Candidate must have an entrepreneurial and self-starting mentality Intellectual curiosity and a desire to always be learning Passionate about climate change and environmental and/or social justice Willingness to work within equitable and inclusive frameworks and actively engage in ongoing learning about these frameworks within the mission of Solstice Nice to have: familiarity with javascript As a Data Scientist for Solstice You Will Gain: Ownership over the development of a sustainable, scalable, and replicable project model for inclusive community solar Access to a network of diverse stakeholders, including community advocates, industry leaders, and public officials at the forefront of policy, finance, and project innovation Deep understanding of the rapidly growing community solar and renewable energy space Solstice was founded to advance equity and inclusion in America. We are committed to living those values, not just in the work we do to promote environmental and energy justice, but in how we grow as an organization. We seek always to expand leadership opportunities for traditionally excluded communities in the global transition to clean energy.Solstice is an equal opportunity employer. We hire, train, compensate, and promote without regard to race, religion, gender identity or expression, sexual orientation, disability, age, national origin, genetics, veteran status, or any of the other characteristics that give each of us unique perspectives and capacities. We are committed to removing barriers to employment that are faced by equity-seeking groups and encourage (but do not require) members of these groups to self-identify as such in their application.We’re a team of mission-driven, passionate, and dedicated individuals. Apply today and get to know us!
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Data Scientist | Taskrabbit |
TaskRabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams.
Communications will always be conducted by taskrabbit.com domain names.
TaskRabbit is a remote-first company with employees distributed across the USA!
DataBird journal’s “Best Places” Best Companies for Diversity, #1 2019 and 2020
DataBird journal’s “ Best Places” Best Companies for Women, #4 2019 and #1 2020
About the Job
Data and analytics are the lifeblood of TaskRabbit and we are building a data science team to provide key insights to drive our business forward.
You will be a member of the Data Group: Data Analytics, Data Science, Machine Learning and Data Engineering. We are a force multiplier, owning the data, analysis, and knowledge infrastructure that enables ourselves and our teammates to move faster and smarter.
As a data scientist focusing on growth, you will work closely with a cross functional team of product managers, marketing managers, designers, and engineers. You will apply various predictive and statistical modeling techniques to solve complex multi-faceted marketplace problems and optimize outcomes for all parties. You will assist defining metrics and KPIs, design experiments to validate hypotheses and translate data into insights that would improve product, marketing and operational metrics.
As part of the Data Group, you will collaborate with other Data Scientists, drawing on their technical skills and expertise. Also, you will work with Data Engineers to ensure that the data platform and infrastructure provides you with the data and tools you need to do your job.
Join us in creating a better everyday life for everyday people.
Responsibilities:
Embed into a user group to support the data needs of the team, and enable stakeholders to make data driven solutions through Data Analysis and Statistical Modeling
Partner with the Data Engineering team to help support and build robust data pipelines, deploy ML Models and automate Scripts
Measure the impact of feature deployments through Statistical and Causal Inference
Develop ML Models to solve complex two-sided Marketplace problems
Qualifications:
Advanced degree in Computer Science, Statistics or related field
Minimum 2 years work experience as a Data Scientist or related position
Knowledge and experience with the following:
Data Analysis and Statistical Modeling
SQL (Advanced knowledge)
Python (Pandas, numpy, scipy, scikit-learn)
Dashboarding and Visualization
Measuring Feature Impact (Design of Experiment, A/B Testing, Causal Inference)
Cloud Computing (AWS or GCP)
Building Data Pipelines (Experience with DBT and Airflow a bonus)
Machine Learning
Able to communicate effectively with Stakeholders
About TaskRabbit
TaskRabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more. Acquired by IKEA Group - the world’s largest furniture retailer - in 2017
At TaskRabbit, we want to make your neighborhood a little more familiar. Whether it’s a handyman (or woman!), a housecleaner, moving help or delivery person, we’re imagining a world where everyone will have a go-to team to make everyday life easier. As a company we celebrate innovation, inclusion and hard work.
As a pioneer of the sharing economy, TaskRabbit was founded on the premise of neighbors helping neighbors. Since then, our network has grown to eight countries and 75+ cities, yet our core mission of creating a better everyday life for everyday people has remained the same.
Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world.
We are a group of mission-minded people. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially-minded and data-driven people who also have a passion for helping people do what they love - and have a ton of fun while they’re at it.
You’ll love working here because:
TaskRabbit is a remote first company. We recognize that talented people live all over the world.
Collaboration hub offices in San Francisco, Austin and London
The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!
Senior Leadership Team 75% women
Director Level 86% Diverse
The Values.
Care Deeply. We take time to be present and partner with our team and communities.
Level Up. We navigate through ambiguity and go the extra mile.
Be A Better Neighbor. We build a diverse and sustainable community and encourage all voices.
Lead The Future Together. We value entrepreneurship and are inspire by action.
The diverse culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up more than half of our team and leadership, and we strive to recruit and retain employees from all over the world.
The perks. TaskRabbit offers comprehensive medical, dental, vision 100% covered for employees, 401k plan with company matching, generous and flexible vacation and holiday time off, commuter benefits, learning and development opportunities, career development trainings, monthly TaskRabbit product stipends, IKEA discounts, weekly meditations, and a dog-friendly office.
Equal Opportunity Employer
TaskRabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. TaskRabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
TaskRabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.
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Senior Data Scientist Moderator Experience Analytics | Reddit |
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
Reddit is the world’s largest network of communities. It’s a place where millions of people go to find a sense of belonging. Redditors directly create, manage, and grow all of the content & communities that comprise the Reddit experience. From r/askreddit to r/politics, or r/memes to r/parenting; these passionate communities and their moderators are what make Reddit tick.
The Moderators Experience team is seeking a Senior Data Scientist to lead our Data Science efforts on better serving our Moderators. You will use data to uncover insights around Moderator needs and partner with our Product & Engineering team to build tools that better suit their workflows so they can do what they do best: help our communities thrive.
How You’ll Have Impact:
Reddit’s mission is to bring community and belonging to everyone in the world, and you will be pivotal in making that happen. Moderators are some of our most important community members– they are crucial in creating safe, thriving and diverse subreddits for our users. By understanding and contributing to better tools for our moderators, your work will directly contribute to making Reddit even greater.
What You’ll Learn:
You will work side by side with some of the best Data Scientists in the world as well as a team of passionate Engineers, Designers, UXR researchers, and Product Managers to deep dive into the ins and outs of our Moderator’s behaviors and needs. You will also have access to one of the coolest data sets in the world: Reddit’s.
What You’ll Do:
Be the main point of contact for data science on the Moderators Experience team, working closely with Product and Engineering on understanding how moderators are interacting on the platform, their needs, and how can we set goals to effectively improve their experience
Lead Moderators Experience data science by being embedded on the Moderators Experience team for the full lifecycle of data analytics: from ideation and exploratory analyses to designing ETLs (extract/transform/load) to support dashboards/reports and A/B testing
Define data-driven KPIs and OKRs to ensure improvements in moderator happiness and efficiency
Proactively socialize & communicate insights, dashboards, and reports with technical & non-technical audiences to make meaningful recommendations and changes to the product roadmap
Who You Might Be:
6+ years of experience in quantitative or data science roles focused on product analytics
4+ years of experience with technical leadership, being the point person for one or more stakeholder groups
Familiar with statistical analysis and programming languages (e.g., R / Python)
Proficient with querying relational databases (e.g., SQL)
Demonstrated experience setting OKRs and KPIs for product functions
Results-oriented with a strong customer and business focus
Entrepreneurial and self-directed, demonstrated ability to innovate and bias toward action in fast-paced environments
Able to communicate and discuss complex topics with technical and non-technical audiences
Able to tackle ambiguous and undefined problems
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Senior Data Scientist Economy Analytics | Reddit |
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
We are looking for a Senior Data Scientist to work with our Economy team. The Economy team is part of the Special Projects division at Reddit and is among the most innovative and forward-looking teams at the company. Together we’re trying to build an Internet of free, independent communities that are powered by a fun, collaborative economy. Our goal is to find new monetization models that restore the balance of power online, putting it back in the hands of the people.
As the Senior Data Scientist embedded on the team, you will be essential in helping us dig through the massive amounts of Reddit data and help to build Reddit’s most exciting products with a best-in-class team and a tight-knit customer community.
How You’ll Have Impact:
You’ll be the expert in ensuring we understand what users are doing on the platform and what they would be willing to pay money for. You will help us make the right product decisions based on data insights, play with the massive amounts of data from one of the largest websites, and help define the culture and frameworks for future team members. Reddit sits in a unique place, where there is massive scale and yet there are still a lot of low hanging fruit opportunities that will immediately impact millions of users and make a visible difference in our business KPIs.
What You’ll Learn:
You will work side by side with some of the best Data Scientists in the world, and will have exposure to everything and anything related to our communities at Reddit. You will also have access to one of the coolest data sets in the world (Reddit’s).
What You’ll Do:
Partner with Eng and Product to define and execute roadmap and initiatives
Define team metrics and goals and make them easily available through ETLs (extract/transform/load) and reporting dashboards
Communicate findings and co-design strategy with the most senior leaders in our organization
Lead proactive exploratory data analysis, distill data insights into strong product recommendations and own the A/B tests in order to ideate new opportunities.
Who You Might Be:
4+ years of experience in Data Science or Analytics function in a tech consumer company
Proficiency with relational databases (e.g., SQL)
Familiarity with statistical analysis and programming languages preferred (e.g., R / Python)
Ability to tackle ambiguous and undefined problems. Experience with monetizing consumer products or paid digital goods preferred
Demonstrated ability to ideate data research, distill insights into strong product recommendations and lead A/B tests to test the data-led hypotheses
Experience creating and owning reports in visualization tools (Mode, Tableau, Looker, Power BI, etc)
Entrepreneurial and self-directed, demonstrated ability to innovate and bias toward action in fast-paced environments
Ability to communicate and discuss complex topics with technical and non-technical audiences
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Data Scientist Bidder | Chartboost |
Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 90 billion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.
Now we’re looking for an exceptional Data Scientist to join a new team focused on the development of our real-time bidder, one of the most exciting and important products within Chartboost. The system powering this product must deal with 100,000’s of requests per second and presents unique engineering challenges. In addition, the bidder requires use of machine learning models that are trained in batch and then used to power decision making in real-time.
Impact you will make:
Design and test predictive models at large scale that control real money and target specific financial goals
Train, tune, and enhance production models written with Python and Scala
Explore and develop expertise with cutting-edge infrastructure (built and bought) for model development, deployment, and data observability
Propose and engineer new model features from our continuously growing and diversifying stores of data
Proactively identify opportunities for optimization, and own the scoping and implementation of solutions
Collaborate closely with Business, Product, Data, and Engineering teams to co-own the rollout of new product offerings
Develop and refine best practices for data processing, experimentation, monitoring, debugging, and analyzing data pipelines
Who you are:
BS degree in Statistics, Math, Economics, Machine Learning or Computer Science
3 to 5 years of practical experience in a Data Science or Machine Learning role, and sound understanding of Data Science and Machine Learning principles
Diverse exposure to many different Machine Learning and modeling techniques such as NLP or deep networks as well as traditional modeling techniques
Strong data visualization and manipulation skills: you are able to distill a clear picture from disparate data sources reflecting a complex business
Self-starter who wants to own the solutions to problems and drive toward completion of projects
Ability to make progress independently: you know enough SQL to pull your own data and have mastered a programming language enough to assist you in analysis
Strong experience in improving performance of queries and data jobs and scaling the system for exponential growth in data
Bonus to have:
Knowledge of distributed tools and frameworks, like Spark/Hadoop for quick train/deploy cycles
Background/familiarity with control theory
Experience in the ad tech and/or mobile space
Perks:
The opportunity to help continue to build a company with the founding team
Restricted Stock Units (RSUs) - you will have a stake in the future success of Chartboost and Zynga
The chance to participate in Zynga’s employee stock purchase plan (ESPP)
Comprehensive medical, dental and vision insurance
401(k) plan with match through Fidelity
Catered lunches and fully stocked kitchens
Commuter Program
Flex Vacation – personal time to refresh your mind/body/soul, spend time with loved ones and celebrate life events. There is no accrual or specific limit to the amount of time an employee may use
More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind. Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
California Residents, please review the Chartboost California Employment Candidate Privacy Notice before submitting any personal information.
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Senior Data Scientist | Chartboost |
Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 90 billion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.
We’re looking for an exceptional Data Scientist to join a new team focused on the development of our real-time bidder, one of the most exciting and important products within Chartboost. The system powering this product must deal with 100,000’s of requests per second and presents unique engineering challenges. In addition, the bidder requires use of machine learning models that are trained in batch and then used to power decision making in real-time.
Impact you will make:
Design and test predictive models at large scale that control real money
Find new and creative ways to utilize the massive piles of data we have using both supervised and unsupervised methods
Generate insightful and actionable information driving ranking and revenue performance by using rigorous scientific and statistical methods
Train and tune learning models offline, provide clear guidelines for A/B testing and production launch
Analyze millions of structured and unstructured data points and identify meaningful features/signals to improve model performance
Collaborate closely with Product, Data, and Engineering teams to build new features and infrastructure
Define, advocate, and maintain high standards for data quality
Develop best practices for data processing, experimentation, monitoring, debugging, and analyzing data pipelines
Who you are:
BS degree in Statistics, Math, Machine Learning or Computer Science
3 to 5 years of practical experience in a Data Science or Machine Learning role
Diverse exposure to many different Machine Learning and modeling techniques such as NLP or deep networks as well as traditional modeling techniques
Ability to make progress independently: you know enough SQL to pull your own data and have mastered a programming language enough to assist you in analysis
You have a sound understanding of Data Science and Machine Learning principles
Strong experience in improving performance of queries and data jobs and scaling the system for exponential growth in data
Bonus to have
Knowledge of distributed tools and frameworks, like Spark/Hadoop for quick train/deploy cycles
Experience in the ad tech and/or mobile space
Perks:
The opportunity to help continue to build a company with the founding team
Restricted Stock Units (RSUs) - you will have a stake in the future success of Chartboost and Zynga
The chance to participate in Zynga’s employee stock purchase plan (ESPP)
Comprehensive medical, dental and vision insurance
401(k) plan with match through Fidelity
Catered lunches and fully stocked kitchens
Commuter Program
Flex Vacation – personal time to refresh your mind/body/soul, spend time with loved ones and celebrate life events. There is no accrual or specific limit to the amount of time an employee may use
More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind. Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
California Residents, please review the Chartboost California Employment Candidate Privacy Notice before submitting any personal information.
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Applied Machine Learning Scientist | Chartboost |
Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 90 billion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.
Impact you will make:
Apply, develop, optimize, benchmark and productionize ML approaches to push our AI-driven product forward
Conduct large scale A/B testing and offline/online experiments to evaluate performance of machine learning models
Analyze millions of structured and unstructured data points and identify meaningful signals to improve model performance
Stay current on technology trends and developments in the relevant ML areas
Who you are:
PhD (or Msc) in computer science, machine learning or related fields.
Strong practical experience and knowledge of the mathematical concepts behind algorithms in several of the following areas: supervised learning, reinforcement learning, deep learning, multi-armed bandit, multimodal machine learning, online learning.
Proficiency in Python and machine learning frameworks such as Pytorch and Tensorflow.
Experience with distributed training and inference pipelines on large datasets.
A willingness to branch out to learn new domains/ approaches and make progress independently.
Bonus to have:
Experience in the ad tech and/or mobile space.
Hands-on experience in large scale production grade machine learning systems.
Perks:
The opportunity to help continue to build a company with the founding team
Restricted Stock Units (RSUs) - you will have a stake in the future success of Chartboost and Zynga
Comprehensive medical, dental and vision insurance
401(k) plan with match through Fidelity
Catered lunches and fully stocked kitchens
Commuter Program
Flex Vacation – personal time to refresh your mind/body/soul, spend time with loved ones and celebrate life events. There is no accrual or specific limit to the amount of time an employee may use
More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind. Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
California Residents, please review the Chartboost California Employment Candidate Privacy Notice before submitting any personal information.
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Data Scientist Analytics | Quartet Health |
Company Description:
Quartet is a platform that makes it easier for people to get the best mental health care for them. Our technology and services reach people who need care, connect them to the right care, track the quality of their care, and support their care journeys. Backed by $160.5MM in venture funding from top investors like Oak HC/FT, GV (formerly Google Ventures), F-Prime Capital Partners, Polaris Partners, Deerfield Management, Centene Corporation, and Echo Health Ventures, Quartet partners with health insurance plans and health systems in 32 states across the country to help people get the care they need.
The Opportunity
We are looking for talented Data Scientists with a passion for addressing business needs through data modeling and analysis to join our team. As an individual contributor on this team, you will work with senior members of the team and internal partners from across the organization. This position requires strong problem-solving, analytical and communication skills; experience with multitasking and prioritizing in a fast-paced environment; and the tenacity to execute against deliverables in a timely, high-quality fashion. Health data experience is a plus.
Accountabilities:
Derive insights from descriptive analysis using multiple datasets including user activity on the Quartet platform, medical claims, pharmacy claims etc.
Apply statistical techniques to model healthcare utilization patterns and evaluate care outcomes
Support a data-informed process for experimenting with new products or operational workflows to improve patient outcomes
Design and implement metrics, run and interpret experiments, draw causal inferences and create visualizations and dashboards
Minimum Qualifications:
Bachelor's degree in a quantitative field.
Professional experience working at a Healthcare or Health Insurance company
3+ years of experience in a technical Data-focused role (Data Scientist, Data Engineer, Data Analyst, BI Analyst, Actuary)
Knowledge of statistics fundamentals.
Experience with SQL.
Programming proficiency in Python or R
Ability to clearly communicate across disciplines and work collaboratively.
Preferred Qualifications:
Experience (professional or otherwise) working with value-based care or healthcare quality measurement
Graduate degree in a quantitative field or Public Health
Experience building software products
Analytics-related experience (building products, working with dashboarding tools, etc.)
Employee Benefits for Quartet include: Unlimited vacation, volunteer opportunities, catered lunches, snacks, team events and outings, mental healthcare coverage of 15 free therapy sessions + unlimited copay reimbursements, medical, dental + vision coverage, generous parental leave, commuter benefits, 401K, stock option grants, gym benefits.
Want to know what Quartet life is like? Click here to meet our team.
Quartet is committed to building a diverse team and fostering an inclusive culture, and is proud to be an equal opportunity employer. We embrace and encourage our employees' differences in race, religion, color, national origin, gender, family status, sexual orientation, gender identity, gender expression, age, veteran status, disability, pregnancy, medical conditions, and other characteristics. Headhunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to managers. Quartet does not accept unsolicited headhunter and agency resumes. Quartet will not pay fees to any third-party agency or company that does not have a signed agreement with Quartet.
Please note: Quartet interview requests and job offers only originate from quartethealth.com email addresses (e.g. [email protected]). Quartet will also never ask for bank information (e.g. account and routing number), social security numbers, passwords, or other sensitive information to be delivered via email. If you receive a scam email or wish to report a security issue involving Quartet, please notify us at: [email protected].
Have someone to refer? Email [email protected] to submit their details to us.
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Data Scientist | Zapier |
Hi there!
We're looking for Data Scientists to join the Data Insights team at Zapier.
Data Insights is responsible for driving impactful insight, experimentation, and quantitative research at Zapier. We work across Product, Growth & Revenue, Marketing, and Support, steering our business stakeholders to make data-informed decisions and deepening business understanding of opportunities and risks.
Our Data Scientists are semi-embedded into different business zones, developing tight-knit thought partnerships with key stakeholders. We’re hiring for a range of zones, so if you are a creative quantitative analyst interested in helping to grow a product that helps the world automate their work so they can get back to living, this may be the right challenge for you!
If you’re interested in advancing your career at a fast-growing, profitable, impact-driven company, then read on…
Our Commitment to Applicants
Culture and Values at Zapier
Zapier Guide to Remote Work
Zapier Code of Conduct
Diversity and Inclusivity at Zapier
About You
You are a skilled written communicator. Zapier is a 100% remote team and writing is our primary means of communication. You communicate complex technical topics clearly and in an approachable way.
You have hands-on experience in defining and analyzing large, complex datasets, finding actionable business solutions to loosely defined revenue and operations problems.
You have proven stakeholder management expertise. As a collaborative thought partner, you're gifted at explaining your findings clearly to a non-technical audience. You’re also excited by helping your team and stakeholders develop KPIs and self-serve dashboards. We believe in empowering our stakeholders to build their own dashboards and own their own first-order analysis.
You’re technically competent with relevant analytics tools (e.g. Python or R), including at least one SQL dialect - they’re all about the same; we happen to use Redshift.
You have deep expertise in designing and analyzing rigorous experiments of varying degrees of complexity. This includes mastery of at least one data visualization tool. We primarily use Looker.
You combine your strong business acumen with statistical expertise (e.g. confidence intervals, regression modeling, significance testing). This includes demonstrated experience with common machine learning techniques for deep data mining and exploration (e.g. predictive modeling, time series modeling, classification, and clustering techniques).
You care about the details and understand that without high-quality instrumentation, we cannot drive high-quality, impactful insights.
You enjoy collaboration and knowledge sharing. You appreciate our team’s values of eagerness to collaborate with teammates with any level of statistical knowledge, iterating over your deliverables, and being curious.
You understand that perfect is the enemy of good. You will default to action by initially shipping solutions that simply work and work simply while iterating as needed.
Things You Might Do
Zapier is a fast-growing and remote-first company, so you'll get experience on many different projects to support our stakeholders. Here are some things you might get to help our teams with:
Analyze user behavior to find and explain novel drivers of key outcomes, such as activation, engagement, upgrades, and churn. Work with business teams to design, analyze and interpret experiments that help them to improve these metrics.
Drive proactive analysis/research into high-potential green fields.
Use a variety of statistical methods to explore, discover and present user and market insights in order to proactively guide a range of business decisions, such as how Zapier strategically positions itself in the automation market.
Ensure all teams have insight to data and can answer their own first-order questions.
Develop data literacy programs and provide easy-to-use tools with clear documentation, examples, and tutorials.
Perform basic ETL tasks to model new dimensions and facts in our data warehouse’s dimensional model. For the heavier lifts, you’ll be supported by Data Warehouse Engineering colleagues.
Tools you’ll probably use include AWS Redshift, SQL, Looker, Amplitude, DBT, Matillion ETL, and Python or R.
As a part of Zapier's all-hands philosophy, help customers via support to ensure they have the best experience possible.
Travel - we come together 2-3 times per year for our employee retreats, typically in North America. You should expect to travel between 5 percent.
The Whole Package
Our flexible, distributed environment lets us work with the best people from around the world. Zapiens live in 40+ countries, including the United Kingdom, Thailand, India, Nigeria, Taiwan, Guatemala, New Zealand, Australia, and more!
Zapier offers:
Competitive salary
Healthcare + dental + vision coverage*
Retirement plan with 4% company match*
Profit-sharing program for 100% of Zapiens
$2,000 annual learning stipend for use on courses, conferences, and more—your choice
Two annual all-company retreats
14 weeks paid leave for new parents of biological or adopted children
Customized Zapiversary rewards on your 1, 3, 5, 7 and 10 year work anniversaries
Leading-edge equipment. We set you up with an Apple laptop and provide an additional budget for you to choose other home office accessories and software you may need.
Time to renew. We encourage Zapiens to take at least 2 weeks off each year. Most of us take 4-5 weeks, in addition to locally recognized holidays.
Opportunity to work with Zapier’s amazing partners network
*While we take care of Zapiens around the world the best we can, healthcare and retirement plans are currently available specifically in the UK, Canada, and United States.
How to Apply
We have a non-standard application process designed to promote inclusion and equity. We first ask a few questions in our application form that would typically be asked at the start of an initial interview. This helps speed up the process and lets us get to know you a bit better right out of the gate. Please be sure to answer each question; the resume and CV fields are optional.
After you apply, you are going to hear back from us—even if we don’t see an immediate fit with our team. In fact, throughout the process, we strive to make sure you never go more than seven days without hearing from us.
Zapier is an equal opportunity employer. We're excited to work with talented and empathetic people, and do not discriminate based on race, color, sex, gender identity or expression, sexual orientation, religion, national origin, physical or mental disability, military or veteran status, genetic information, pregnancy, age, or any other status protected by local law. Our code of conduct provides a beacon for the kind of company we strive to be, and we celebrate our differences because those differences are what allow us to make a product that serves a global user base.
Zapier is is committed to inclusion. As part of this commitment, Zapier will ensure that people with disabilities are provided reasonable accommodations. If reasonable accommodations are needed to participate in the job application or interview process, please contact [email protected].
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Data Scientist Machine Learning Intern | Quizlet |
Inspired by our belief that anyone can learn anything and powered by our own curiosity, we build the smartest tools we can imagine to help students learn.
Quizlet is the popular, global learning platform and app that millions of students, teachers and everyday people use to study any subject imaginable for school, work or as part of their personal interests -- including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals. We’re on track to become the undisputed leader in user-generated learning content and engagement, at the scale of YouTube.
Valued at $1 billion, Quizlet has raised over $60 million in venture capital from investors including Icon Ventures, Union Square Ventures, General Atlantic, Costanoa Ventures, Owl Ventures, and Altos Ventures.
To serve our global community of learners, our teams tackle lofty technical challenges and design for use cases across cultures and languages. We work hard, act like owners, and collaborate every chance we get. We’re energized by the potential to power more learners through multiple approaches and various tools.
With offices in major cities around the world and ambitious plans for expansion, we remain grounded in our commitment to our mission of helping people learn. We’re looking for new team members who crave a challenge and want to help us continue amplifying our impact.
Quizlet offers an exciting 2022 Summer Internship Program from either June 6th - August 12th or June 27th - September 2nd. Our program is a 10-week paid internship that focuses on enabling students to advance their professional preparation through work experience, professional development, and mentorship. We have a fun summer planned for you with several events and workshops. You will work on real projects, features, and updates that will contribute to Quizlet and impact our 50 million+ users.
While Quizlet has offices in San Francisco, CA, Denver CO, and NYC, our internship program will be fully remote.
About the Data Science/ML Team:
Quizlet’s Machine Learning is core to Quizlet’s vision in being an AI tutor for everyone. We inspire, validate, build, and continuously improve ML/AI products to scale learning. Some things we’ve worked on include personalized learning experiences by modeling how students learn, smart assessment, and understanding our vast UGC study content (e.g. with subject classification). We make use of our unique data of billions of study interactions (per week!), learning science, diverse domain expertise, and many kinds of ML algorithms.
In this internship, you will:
Help match students to relevant study content through search and recommendations
Improve our search relevancy and functionality: including using Learning To Rank (LTR) methods, adding new behavioral and school/course signals utilizing our unique data, and building query understanding
Build our understanding of course syllabi and sequencing to help students structure their studying
Implement solutions in production: writing production tables/services or directly improving our production search ranking code in Hacklang
The ideal candidate will have:
Experience writing code in Python and SQL
A solid understanding of various ML models
A compassionate, team-player mentality; you see your growth and success entangled with the growth and success of your peers
Rising Senior or Senior status (preferred)
Bonus points if you have:
A proven track record of delivering impactful, production ML solutions
Experience and fluency in search, recommendations and/or NLP
Compensation:
Colorado candidates: Base pay for this role starts at $40 per hour. The actual pay may be higher depending on your skills, qualifications, and experience
We hope you are excited about everything you read so far. We highly encourage you to apply for this position, even if you feel you do not meet all the requirements. Quizlet is always looking for amazing folks that believe in our mission and can contribute to our team in various ways - not merely candidates that fit a certain mold.
Quizlet's Team Culture
We are here to make education better and more accessible. We strive to improve the lives of students and teachers at every stage and in every setting. We have a bias for action, take initiative, and hustle to deliver results. We make informed decisions whenever possible but are unafraid to take calculated risks on great ideas to promote learning. We embrace challenges and see effort as the path to mastery. We’re constantly seeking opportunities to learn and we embrace curiosity. Quality matters at Quizlet, and we hold the bar high on everything we do. We sweat the details and take personal accountability and pride in anything that carries the Quizlet name. We speak up, jump in and work with each other to fix problems, and never say "that's not my job." We treat each other with honesty and respect, encourage vigorous debate, and seek critical feedback. We value diversity, humility, transparency, and collaboration as the best paths to our success — as individuals, as a team, and as a company.
Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. We are actively working to build a team that is representative of the diverse communities we serve, and an open, inclusive work environment where all employees can thrive. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us!
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Senior Data Scientist Ads Machine Learning | Reddit |
We are looking for a Machine Learning Data Scientist to work within the Ads Data team. You will work closely with engineers and product owners from our Ads team to optimize ads delivery and auction systems. In addition to strong modeling skills, this person has a solid business acumen and understands what is important to advertisers.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
Responsibilities:
Build optimization algorithms that improve ad yields and efficiencies. Some of the models we developed over the last year are CPC (cost per click), CPI (cost per install), Generalized pCVR (probability of conversion rate), ALO (Ad Level Optimization) and User Lookalikes. You will not only work on improving existing optimization models, but also develop new models from scratch for a variety of upcoming product launches.
Build and improve Machine Learning algorithms that match ads to the most relevant users. Some of the algorithms/techniques used are Logistic Regression, Gradient Boosted Decision Trees, Random Forests, Hyperparameter tuning, Thompson Sampling, Monte Carlo simulations, Semantic Embedding models etc.
Build a platform for rapid model iteration and feature engineering at scale. Some of our optimization models are iterated on and deployed in production every 2 weeks.
Be involved in all phases of modeling such as ideation, offline modeling, online implementation, experimentation, deploy and post-launch monitoring/measurements.
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, along with working on ETLs and data aggregations.
Serve as a thought-partner for product managers, engineering managers and leadership in influencing the monetization roadmap and strategy for Reddit by identifying opportunities through deep-dive analyses and/or modeling.
Deeply understand ad auctions and how bid densities affect CPMs, CPCs and revenue
Develop familiarity with different types of ads such as managed/reserved, auction, takeover and self-serve; and understand specific interplays amongst those ads.
Work closely with our Sales and Marketing partners so the ads are set up in a way that amplifies the benefits of your optimization models.
What We Can Expect From You:
Bachelor’s degree or above in a quantitative major (e.g., mathematics, statistics, economics, finance, computer science).
Proficiency in Machine Learning
Proficiency with statistical analysis and programming languages (Python, SQL)
Understanding of experimentation and causal inference analyses
Master’s or PhD degree preferred but not required.
2+ years of experience (for Bachelor’s); 1+ years of experience (for Master’s/Phd) in quantitative/modeling roles, preferably for a consumer-facing service/app
Experience in online advertising is preferred but not required
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Data Scientist | Fitbod |
The future of fitness lies in data, and we’re looking for a Data Scientist to help usher in the next phase of growth for Fitbod. Data analysis is a core competency at Fitbod, and you will work with a leadership team with broad experience in Data Science and a proven record of turning health and activity data into concrete fitness guidance.
Responsibilities
Measuring and monitoring core business metrics such as active users, customer retention, subscriber acquisition costs, and customer lifetime value.
Identifying North Star metrics for measuring the impact of product, marketing and business features/decisions, using data insights to propose next steps on the company roadmap
Doing deep data dives into workout histories in order to derive insights into user behavior. Leveraging these insights to identify opportunities to optimize algorithm recommendations
Influencing other teams (Product, Engineering, Customer Success, Marketing, etc) through presentations of data-centric reports, communicating the current and projected state of the business
Analyzing results of A/B tests, communicate hypothesis testing’s conclusions to non-technical teams
Building and maintaining dashboards that effectively communicate data insights
Working primarily on GCP, with a data stack that includes: Airflow, Big Query, Python and Tableau
Automating analyses, model predictions/forecasts, and dashboards via our ETL framework using Python and SQL
Minimum Qualifications
Fluency in Python, including libraries such as Pandas and Numpy
Fluency in SQL
Cloud Computing: basic understanding of cloud computing platforms (AWS, GCP), including the ability to ssh into a vm and develop remotely.
Solid understanding of statistical inference (e.g. hypothesis testing, regressions), experimental design, and analysis.
Compose reports that apply statistical and econometric models on large datasets.
1+ years of experience with Python and/or PySpark conducting Supervised Learning, Regression Analysis and Time Series Analysis
1+ years of experience communicating the results of analyses with product and leadership teams to influence the strategy of the product
B.S or higher in Statistics, Computer Science, Business Analytics or related field
Preferred Qualifications
Experience productionizing ML Models
Experience with Spark and PySpark
Experience with Airflow
Experience with Flask
Given that you will work across a variety of domains in this role, the ideal hire will have some experience in product analytics, marketing, and operations analytics.
Fitness-minded, practicing strength-trainer, or possess knowledge about strength-training best practices.
Try our app for free! https://www.fitbod.me/
Positions are remote-only, with the option to work from our SF office when it is safe to do so.
We are looking for full-time teammates! Positions include a full benefits package including: Full Medical, Vision, Dental, Life & Disability Insurance, flexible time-off, Slavic 401(k) with a 4% company match, company-wide days off for wellness & social lunches (via Zoom of course), a stipend for the gym/fitness, and all employees are able to expense up to $2000USD/year for continuing their development while employed with Fitbod!
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 identity, sexual orientation, age, marital status, veteran status, or Fitbod Applicant and Worker Privacy Notice.
By submitting your information, you agree that you have read and agree to the terms in our Fitbod Applicant and Worker Privacy Notice
APPLY FOR THIS JOB
By submitting your information, you agree that you have read and agree to the terms in our Fitbod Applicant and Worker Privacy Notice
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Data Scientist Product | Confluent |
Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favorite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That’s the power of data in motion in action—giving organizations instant access to the massive amounts of data that is constantly flowing throughout their business. At Confluent, we’re building the foundational platform for this new paradigm of data infrastructure. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can create a central nervous system to innovate and win in a digital-first world.
We’re looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Confluent’s enormous potential. Chart your own path and take healthy risks as we solve big problems together. We value having diverse teams and want you to grow as we grow—whether you’re just starting out in your career or managing a large team, you’ll be amazed at the magnitude of your impact.
About the Team:
The mission of the Data team at Confluent is to serve as the central nervous system of all things data for the company: we build analytics infrastructures, metrics, insights, and models, to empower data-driven thinking, and optimize every part of the business. There are limitless opportunities for an ambitious data scientist to make an immediate and meaningful impact within a hyper-growth start-up.
About the Role:
As a thought partner to our product team, you will work closely with product managers, engineers, and designers to define success metrics, design experiments, build visualizations, discover insights and ultimately shape product and company strategy. You will also have the opportunity to interact with Executives and other cross-functional teams to develop and deliver actionable recommendations to drive better and faster decisions. Successful candidates will exhibit technical acumen and business savvy, with a passion for making an impact, through creative storytelling and timely actions.
What You’ll Do:
Define product success metrics, build/maintain dashboards to monitor the health of our products and understand changes to our KPIs
Partner with Product and Engineering teams to solve problems and identify trends and opportunities by mining massive amounts of data and extracting useful product insights
Design and evaluate experiments
Collaborate with other data scientists across our organization to share best practices, learn new analytical techniques, and champion an organizational culture where data is central to decision making
What We’re Looking For:
Bachelor or advanced degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
1+ years of experience in data science and analytics
Excellent data manipulation skills, proficiency in SQL. Experience with Python or R is a plus
Experience visualizing data and building dashboards. (eg. Tableau, Metabase, Looker, etc.)
Strong problem solving skills and ability to translate business requirements into analytical questions
A team player who can collaborate with engineers, product managers, marketers and other cross-functional teams
Effectively communicate insights and recommendations to cross-functional partners; ability to synthesize, simplify and explain complex problems to different types of audiences, including executives
What Gives You an Edge:
Experience and/or knowledge in experimental design and applied statistics (i.e. A/B testing) in an industry setting
Experience with developing statistical frameworks to understand users and their behaviors
Experience in a product-focused role at a technology company
Experience identifying, scoping and driving data science projects with cross-functional partners and high business impact
Come As You Are
At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact.
Confluent requires all employees (in office and remote) in the U.S. to be vaccinated for COVID-19. Consistent with federal, state, and local requirements, Confluent will consider requests for reasonable accommodation based on medical conditions/contraindications or sincerely-held religious beliefs where it is able to do so without undue hardship to the company.
Click here to review our California Candidate Privacy Notice, which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees.
#LI-Remote
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Data Scientist G M | Confluent |
Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favorite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That’s the power of data in motion in action—giving organizations instant access to the massive amounts of data that is constantly flowing throughout their business. At Confluent, we’re building the foundational platform for this new paradigm of data infrastructure. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can create a central nervous system to innovate and win in a digital-first world.
We’re looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Confluent’s enormous potential. Chart your own path and take healthy risks as we solve big problems together. We value having diverse teams and want you to grow as we grow—whether you’re just starting out in your career or managing a large team, you’ll be amazed at the magnitude of your impact.
About the Role:
The mission of Data Science team at Confluent is to serve as the central nervous system of all things data for the company: we build analytics infrastructures, metrics, insights, and models, to empower data-driven thinking, and optimize every part of the business. There are limitless opportunities for an ambitious data scientist to make an immediate and meaningful impact within a hyper growth start-up.
We are now looking for a talented and driven individual to accelerate data science efforts and boost our Growth and Marketing trajectory. This person will work closely with our Marketing executives and operation teams to develop and deliver actionable recommendations to drive better and faster decisions. Successful candidates will exhibit technical acumen and business savvy, with a passion for making an impact, through creative storytelling and timely actions.
What We’re Looking For:
+ 1 years of experience in data science and analytics
Strong proficiency in SQL and Python (or R) (+1 years of experience)
Proficiency in data visualization (eg. Tableau, R-shiny, Python, Metabase, Looker, Matlab, etc.)Strong skills or experience in applying machine learning and causal inference to business domain
Bachelor or advanced degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
The ability to communicate cross-functionally, derive requirements and deliver insightful analysis and/or models; ability to synthesize, simplify and explain complex problems to different types of audiences, including executives
What Gives You an Edge:
Experience and knowledge in Marketing Attribution modeling and ROI measurement
Experience and/or knowledge in statistical modeling and casual inference
Excellent communication skills, with the ability to synthesize, simplify and explain complex problems to different types of audiences, including executives
Experience in developing measurement across marketing activities and working with Growth and Marketing domain
Come As You Are
At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact.
Confluent requires all employees (in office and remote) in the U.S. to be vaccinated for COVID-19. Consistent with federal, state, and local requirements, Confluent will consider requests for reasonable accommodation based on medical conditions/contraindications or sincerely-held religious beliefs where it is able to do so without undue hardship to the company.
Click here to review our California Candidate Privacy Notice, which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees.
#LI-Remote
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Applied Data Scientist | Leaf Logistics |
We are Leaf
Leaf is on a mission to upend the way companies buy and sell transportation. Every year, billions of dollars, hundreds of megatons of carbon and millions of person-hours are wasted because the companies who ship goods and the companies who carry them aren’t upfront about their needs and abilities. Our platform finds ways for buyers and sellers to contract binding commitments for plannable and predictable freight and allows those contracts to be traded when needs change. In time, Leaf will become the hub through which the trillion-dollar American freight market is managed.
We are a team of experienced, smart, and mildly disagreeable troublemakers who like taking on unreasonably big challenges; we know how to build things, we’ve lived what’s broken in this industry, and we’re looking for bright, ambitious people to help us drag the transportation world kicking and screaming into the 21st century.
What does an applied data scientist do at Leaf?
We ingest, clean and process large amounts of data from a variety of sources including shippers, carriers, 3PLs and 3rd party data providers.
We are looking for data scientists who will:
● Run Leaf’s internal engine to process incoming data and turn these into meaningful insights for our internal teams and customers
● Identify and quantify business value applying a diverse set of supply chain improvement levers
● Ensure high level of quality of results generated by Leaf’s algorithms
● Provide feedback to the rest of the data science and engineering team to ensure continuous improvement of the internal data engine
● Build visualizations to clearly communicate results and customer business value
● Perform ad-hoc and on-demand analyses for internal stakeholders and customers
● Prioritize your time and attention to maximize the impact of limited resources
Who makes a good applied data scientist?
You should be curious, relentless about asking questions until you understand something, and unafraid to acknowledge facts that don’t point in the direction you want them to. Be humble in the face of data, but tenacious in asserting the facts you know.
Be willing to work with people you disagree with; be eager for criticism, and constantly searching for ways to do what you do better. Never be content with things the way they are, but don’t let the quest for something perfect prevent you from shipping something good.
Experience in wider supply chain, especially truckload, is useful. You will need to be experienced with Python, and SQL as well as familiarity with the majority of the following:
● Geospatial analysis
● Pattern recognition
● Clustering
● Time series forecasting
● Graph-theoretic techniques for network analysis
We’re also a startup, priorities change all the time, something’s always on fire, and there’s twice as much work to do as hands to do it and new challenges surface constantly, and that you will need to be able to manage how you spend your time in the midst of conflicting priorities.
#LI-remote
Compensation
Leaf offers a very comprehensive compensation package including competitive base salary, variable compensation and health benefits.
Leaf Logistics is an equal-opportunity employer and we welcome applicants from all backgrounds. If you’re a passionate team player who wants to have an outsized impact on a diverse and dynamic team, we’d love to hear from you!
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Data Scientist | Panorama Education |
About the RoleAt Panorama, we have a big-picture vision to radically improve student outcomes by helping educators act on data and improve their practice. Our data science activities run the gamut from data extraction and pipeline engineering to statistical modeling and data visualization. In this role, your primary goal will be to leverage data science to advance critical research and development (R&D) efforts for our products.
Responsibilities:
Compile, clean, manage, analyze, and visualize large, one-of-a-kind educational datasets that include longitudinal, high-frequency data from millions of students, including their academic performance, in-class behavior, school attendance, and social-emotional competencies
Innovate and help engineer data pipelines and infrastructure to enable product development and educational research
Apply traditional and modern statistical techniques to creatively address key questions of practical and theoretical interest, such as the causal impact of educational interventions on student outcomes
Imagine and help implement data-driven products that aid educators to better support students
Collaborate closely with other data scientists, researchers, engineers, designers, and product managers
Concisely summarize extant scholarship and best practices to make that knowledge usable for other team members
Work with colleagues and company leadership to develop our data science strategy, priorities, and practices
Our Ideal Candidate Has:
Has 3+ years of experience as a Data Scientist
Have demonstrable expertise in using data and analytics to reveal insights and improve decision-making
Can manipulate large datasets through parallel computing (e.g. Dask, concurrent.futures in Python, multidplyr in R) and convert them into analyzable formats
Have broad expertise in traditional and modern statistical methods including, for example, regression, multilevel modeling, psychometrics, dimension reduction, clustering, machine learning, and causal inference
Are fluent in one or more relevant programming languages (e.g., Python, R), data manipulation tools within programming language(s) (e.g., Pandas, dplyr) and RDBMSs (e.g, PostgreSQL)
Can program scripts (e.g., for data cleaning) not available in existing packages
Are a team player who thrives in a collaborative, small-team environment
Have formal education or training in data engineering, data science, or statistics
Have prior experience working with software engineers and/or product managers as a data scientist, engineer, or analyst
Bonus: Prior experience working with K-12 educational data or at an ed tech company
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Data Scientist Experimentation | Stitch Fix |
About the Team
The Experimentation and Inference Frameworks team leverages expert experimental design, statistical modeling, and causal inference to help Stitch Fix rigorously evaluate our actions and technology. Our team develops tools and frameworks to address complex experimental designs and observational analyses. We work closely with cross-functional partners both on the business side and within the Algorithms team to identify opportunities to improve and scale experimentation.
About the Role
In this role you will have the chance to build experimentation and inferential frameworks and drive research into human-in-the-loop behavior through experimental design, implementation, and analysis to drive strategic business decisions. You will have autonomy to help shape the direction of experimentation and inference at Stitch Fix through your ideas to improve what we do and how we do it.
You’re excited about this opportunity because you will get the chance to…
Identify, develop, and evangelize tooling, approaches, and data products that raise the bar of validity in experiment design and analyses across the company
Frame slippery business problems and innovate a path forward
Research and implement statistical approaches to solve unique business challenges
Collaborate with multiple teams and functions to deliver deep-dive analyses and experiment design for new initiatives and high-priority business areas
Develop and iterate on our processes to empower more efficient and rigorous experimentation
We’re excited about you because…
You have an advanced degree in a quantitative field with an emphasis on experimentation and/or inferential statistics
You have 3+ years of work experience in data science
You have experience designing/conducting experiments in an industry setting
You have experience partnering cross-functionally and enjoy gathering input from stakeholders
You are a proactive communicator who helps simplify and move complex problems forward
You have experience coding at a production level in Python or R
You are innovative and inspired to take on new challenges and you do not shy away from potential failure
Why You’ll Love Working at Stitch Fix
We are a group of people who are bright, kind and motivated by challenge. You can be your authentic self here, and are empowered to encourage others to do the same!
We are a successful, fast-growing 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, growing 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.
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https://www.stitchfix.com/privacy/usrecruitingprivacy
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