Sr. Data Scientist II

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$/yr - $/yr

We’re reinventing the market research industry. Let’s reinvent it together. At Numerator, we believe tomorrow’s success starts with today’s market intelligence. We empower the world’s leading brands and retailers with unmatched insights into consumer behavior and the influencers that drive it. 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.

• Lead execution and technical planning within the organization and team, and mentor 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) 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.
• Strong 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.
• Experience conducting and analyzing complex survey/panel data, performing exploratory analysis, feature engineering, quality reviews, documentation, weighting, bias‑correction, and imputation.

• 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, Sage Maker, 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.

• 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 resource 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.