Sr. Data Scientist II

NumeratorChicago, IL
14d

About The Position

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.

Requirements

  • 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

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

Responsibilities

  • 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
  • Conduct and analyze complex survey/panel data, perform exploratory analysis, feature engineering, quality reviews, documentation, weighting, bias-correction, and imputation

Benefits

  • 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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