Senior Data Scientist / Analyst, Growth

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, Growth to own full-funnel GTM analytics across the business. You'll be accountable for understanding how users find us, what turns them into traders, and what brings them back.This is a role for someone who wants to own a number rather than staff a request queue. You'll set the analytical agenda for your vertical: deciding what's worth measuring, telling marketing where the next dollar should go, and making the case when the data says the current plan is wrong. And you'll do it in a fast-moving environment where new markets launch constantly and the growth playbook changes with them.What You'll DoOwn full-funnel analytics for your vertical, from paid acquisition through first trade to repeat engagement, and be the person who can explain what is driving each stepPartner with marketing on spend efficiency including CAC, ROAS, payback period, and channel mix, and make the call on where incremental dollars should goSize and prioritize growth opportunities within your vertical: which leagues, events, or market types deserve investment, and what the return is likely to look likeDesign and read experiments across creative, lifecycle, and onboarding, and hold a clear line on what did and did not workBuild the cohort, funnel, and retention analyses that show how your vertical's users behave differently from the rest of the platformBe the analytical voice in your vertical's planning, bringing the numbers that set the targets, then hold the team accountable to themWork with analytics engineers to turn your recurring analyses into durable models 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 growth, marketing, or product analytics, with a track record of owning a business area end-to-endExpert SQL. You can go from raw event tables to a defensible answer without helpDeep fluency in full-funnel GTM metrics including CAC, ROAS, payback, conversion rate, retention, LTV, and the judgment to know when each one is misleadingExperience embedded with marketing and product teams as a partner in the work, not a downstream request queueComfort 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: experimentation design, causal inference, or predictive modeling in Python or R(Plus) Genuine interest or expertise in one of our verticals, whether that is sports, crypto, or politics(Plus) Experience in fintech, crypto, prediction markets, or other data-intensive financial productsBenefitsCompetitive 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.LocationNew YorkEmployment TypeFull timeLocation TypeOn-siteDepartmentData