Sr. Data Scientist II

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

• 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