Numerator
Numerator is seeking a Sr. Data Scientist to help build, enhance, and scale data science services across our rapidly evolving data platform. You’ll work end-to-end on initiatives that turn massive proprietary datasets into impactful, production-grade solutions.
This is a highly autonomous, product-focused role. You’ll partner with Product, Data, and Engineering teams to translate customer needs into data-driven products, analytics methodologies, and new offerings that drive measurable business impact.
What You'll Do
Perform as a Sr. Data Scientist by leading execution and technical planning within the organization and team, along with mentoring other Data Scientists
Ideate and implement discoveries to build new product features & data products, and improve existing methodologies & algorithms
Collaborate across Product, Data, and Engineering teams to identify, investigate, integrate, and deliver solutions related to back-end and front-end data services
Lead and deliver complex projects involving data and statistical modeling (e.g. sampling, forecasting, segmentation, classification, predictive modeling, etc.)
Regularly communicate outcomes, new initiatives, and improvements to stakeholders
Serve as a data science subject matter expert for both internal and external stakeholders
BS or PhD in Mathematics, Statistics, Computer Science, Economics, Physics, or other behavioral and/or equivalent quantitative science
9+ years of industry experience as a data scientist (or equivalent role/work) with a BS in the above-mentioned areas, or 5+ years of industry experience with a PhD in a quantitative field
Leadership experience as a manager or mentor or team lead
Proficiency in Python and SQL
Written and verbal communication skills with experience in communicating complex concepts to a non-technical audience; enjoy data storytelling via presentations, articles, reports across various stakeholders
Experience with defining key product metrics, setting team goals, and building internal tools to monitor progress against KPIs
Conduct and analyze complex survey/panel data, perform exploratory analysis, feature engineering, quality reviews, documentation, weighting, bias-correction, and imputation
Nice to Haves
Experience in the CPG/FMCG/retail industry or hands-on with user-level purchase data for marketing/behavioral insights
Experience with developing, deploying, and maintaining back-end production code in cloud environments with technologies like AWS, Airflow, SageMaker, etc
Proven track record of delivering solutions to a production environment
Solid understanding of SQL and relational databases (e.g., Snowflake, MySQL, Postgres, etc.), and experience using normalized and denormalized data architectures
Experience with agile methodologies, e.g., estimating & scoping open-ended data science work to help Product hone in on requirements and business value
Experience with understanding, analyzing, and modeling user data and behavioral trends
Enthusiasm for identifying and pursuing new business and product opportunities; unleashing creativity & innovation in a team environment
What We Offer
An inclusive and collaborative company culture - we work in an open, transparent environment to get things done and adapt to the changing needs as they come
An opportunity to have an impact in a technologically data-driven company that’s changing the market research industry and getting rave reviews
Ownership of data solutions
Market-competitive total compensation package
Volunteer time off and charitable donation matching
Strong support for career growth, including mentorship programs, leadership training, access to conferences and employee resources groups
Regular hackathons to build your own projects and Engineering and Data Science Lunch and Learns
Great benefits package including health/vision/dental, unlimited PTO, flexible schedule, internally quiet focus time, recharge days, 401K matching, travel reimbursement, and more
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This is a highly autonomous, product-focused role. You’ll partner with Product, Data, and Engineering teams to translate customer needs into data-driven products, analytics methodologies, and new offerings that drive measurable business impact.
What You'll Do
Perform as a Sr. Data Scientist by leading execution and technical planning within the organization and team, along with mentoring other Data Scientists
Ideate and implement discoveries to build new product features & data products, and improve existing methodologies & algorithms
Collaborate across Product, Data, and Engineering teams to identify, investigate, integrate, and deliver solutions related to back-end and front-end data services
Lead and deliver complex projects involving data and statistical modeling (e.g. sampling, forecasting, segmentation, classification, predictive modeling, etc.)
Regularly communicate outcomes, new initiatives, and improvements to stakeholders
Serve as a data science subject matter expert for both internal and external stakeholders
BS or PhD in Mathematics, Statistics, Computer Science, Economics, Physics, or other behavioral and/or equivalent quantitative science
9+ years of industry experience as a data scientist (or equivalent role/work) with a BS in the above-mentioned areas, or 5+ years of industry experience with a PhD in a quantitative field
Leadership experience as a manager or mentor or team lead
Proficiency in Python and SQL
Written and verbal communication skills with experience in communicating complex concepts to a non-technical audience; enjoy data storytelling via presentations, articles, reports across various stakeholders
Experience with defining key product metrics, setting team goals, and building internal tools to monitor progress against KPIs
Conduct and analyze complex survey/panel data, perform exploratory analysis, feature engineering, quality reviews, documentation, weighting, bias-correction, and imputation
Nice to Haves
Experience in the CPG/FMCG/retail industry or hands-on with user-level purchase data for marketing/behavioral insights
Experience with developing, deploying, and maintaining back-end production code in cloud environments with technologies like AWS, Airflow, SageMaker, etc
Proven track record of delivering solutions to a production environment
Solid understanding of SQL and relational databases (e.g., Snowflake, MySQL, Postgres, etc.), and experience using normalized and denormalized data architectures
Experience with agile methodologies, e.g., estimating & scoping open-ended data science work to help Product hone in on requirements and business value
Experience with understanding, analyzing, and modeling user data and behavioral trends
Enthusiasm for identifying and pursuing new business and product opportunities; unleashing creativity & innovation in a team environment
What We Offer
An inclusive and collaborative company culture - we work in an open, transparent environment to get things done and adapt to the changing needs as they come
An opportunity to have an impact in a technologically data-driven company that’s changing the market research industry and getting rave reviews
Ownership of data solutions
Market-competitive total compensation package
Volunteer time off and charitable donation matching
Strong support for career growth, including mentorship programs, leadership training, access to conferences and employee resources groups
Regular hackathons to build your own projects and Engineering and Data Science Lunch and Learns
Great benefits package including health/vision/dental, unlimited PTO, flexible schedule, internally quiet focus time, recharge days, 401K matching, travel reimbursement, and more
#J-18808-Ljbffr