Senior Data Scientist / Analyst, Product

About PolymarketPolymarket is the world's fastest growing prediction market. We enable individuals to express views on real-world events by trading on outcomes across politics, economics, sports, culture, and current affairs. Built as a peer-to-peer marketplace with no centralized "house," Polymarket aggregates diverse opinions into transparent, market-based probabilities that reflect collective expectations about the future.We're growing quickly, both in terms of volume ($115B traded to date) and adoption as an alternative news source. Our ambition is to become a ubiquitous beacon of truth in global media and we need your help adding fuel to the fire.About the RolePolymarket is looking for a Senior Data Scientist / Analyst to be the analytical partner to our product team and the person who can say whether what we shipped actually worked. You'll own product insights end-to-end, from defining its success metrics, to designing the experiments that test them, to telling the team what the results mean.This is a role for someone with real product instincts, not just query skills. You'll spend as much time forming hypotheses about why users behave the way they do as you will validating them, and you'll be expected to push back when a feature's numbers don't support the story being told about it. You'll do it all in a fast-moving environment where we ship constantly and the answer is usually needed before the next release.What You'll DoPartner with product managers, designers, and engineers as the analytical owner for productDefine the metrics that determine whether a feature worked, and be the person willing to say plainly when it did notDesign, instrument, and read A/B tests end-to-end, including the calls on sample size, guardrail metrics, and when to stop a testBuild the funnel and behavioral analyses that explain how users find a market, place a first trade, and come back for the next oneTurn user behavior into product direction. Surface where people drop off, what the friction actually is, and what is worth building nextOwn the event tracking spec for your area, working with engineers so instrumentation lands correctly the first time rather than being reconstructed laterWork with analytics engineers to promote your recurring analyses into modeled datasets rather than one-off queriesWrite end-to-end documentation that’s clear and thorough enough that anyone on the team can pick up your analysis without frictionWhat We're Looking For7+ years in product analytics, data science, or a similar role supporting a consumer or trading productExpert SQL. You can go from raw event tables to a defensible answer without helpDeep experimentation experience. You have designed and read A/B tests in production, and you can explain a null result without spinning itStrong product sense. You can look at a funnel and form a hypothesis about the user behind it, not just describe the numberHands-on experience defining event tracking and instrumentation, and the patience to get it rightComfort with ambiguity. You can scope a vague question into a real analysis and defend the assumptions you made along the wayStrong communication. You can take a complex analysis to a non-technical audience and land the recommendationComfortable operating in a fast-moving environment where business logic changes frequently and you need to keep pace(Plus) Data science background - causal inference, quasi-experimental methods, or predictive modeling in Python or R(Plus) Experience with trading, marketplace, or other two-sided products where user behavior drives the economicsBenefitsCompetitive salary & equityUnlimited PTOFull Health, Vision, & Dental coverage401k matchHardware setup: new MacBook Pro, big display, & accessoriesPay Transparency Base salary range: $200,000 to $300,000 annually, plus equity and benefits.This range reflects a good-faith estimate for this position. Experience levels vary widely within a title here, so please reach out even if your expectations fall outside it. We're always happy to chat.Compensation Range: $200K - $300KLocationNew YorkEmployment TypeFull timeLocation TypeOn-siteDepartmentDataCompensation$200K – $300K