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Job description
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 Data Scientist (Bayesian Modeling) to help build, enhance, and scale data science services across our rapidly evolving data platform. You’ll work on initiatives that turn massive proprietary datasets into impactful, production-grade solutions. This is a growth-track, product-focused role. You’ll collaborate with Product, Data, and Engineering teams to learn how customer needs translate into data-driven products, analytics methodologies, and new offerings that drive measurable business impact.
How You'll Spend Your Time:
Contribute to the implementation and delivery of Bayesian and probabilistic modeling pipelines, from methodology research through production, with guidance from senior team members
Execute on individual tickets independently and take on small epics with mentorship and guidance
Work closely with Product, GTM, Data, and Engineering to turn models into reliable, production-grade solutions the business can depend on
Actively participate in the team's learning culture (journal club, analysis reviews, standups) and seek feedback to continually level up your craft in Bayesian methods and reasoning about uncertainty
Communicate methods, results, and tradeoffs clearly to both technical and non-technical audiences
What You'll Bring to Numerator
Strong foundation in Bayesian inference and probabilistic modeling — e.g. hierarchical / multilevel models, state-space and time-series models, graphical models, MCMC/HMC, variational and other approximate inference
Experience or coursework applying probabilistic/Bayesian methods to real-world datasets, with a strong curiosity to learn production-grade standards
Comfort reasoning about uncertainty, calibration, and model validation
Facility with large or structured datasets and the computational side of inference at scale
Strong Python, and fluency in a modern probabilistic-programming and numerical-computing stack — NumPyro, PyMC, Stan, JAX, dynamax, or similar. We hire on the ideas, not on exact tooling
Demonstrated interest in shipping statistical models into production systems and writing maintainable code
BS to PhD in Statistics, Math, Economics, Physics, CS, or a related quantitative field
0-2 years of relevant experience or recent graduate with strong quantitative project work
Clear communication with both technical and non-technical audiences
Nice to Haves:
Diagnosing and debugging large Bayesian models — convergence and divergence issues, pinning down which part of a big model is misbehaving, and knowing which inference method to reach for
Weighting a non-representative survey or panel sample up to a known population, and a feel for where those adjustments break down
Hierarchical models spanning multiple crossed or overlapping groupings — relationships that bridge hierarchies, not just a single nested tree
Experience with graph or network models, or modeling relational / graph-structured data
Measurement-error modeling, or reconciling multiple imperfect data sources
CPG / FMCG / retail experience, or work with user-level purchase or panel data
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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Worksite address
chicago, IL, 60290, US
Who can apply
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