Senior Data Scientist / Analyst, Growth at Polymarket

Company: Polymarket

Location: New York

Type: Full-time

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Job Description

About Polymarket Polymarket 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 Role Polymarket 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 Do Own 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 step Partner with marketing on spend efficiency including CAC, ROAS, payback period, and channel mix, and make the call on where incremental dollars should go Size and prioritize growth opportunities within your vertical: which leagues, events, or market types deserve investment, and what the return is likely to look like Design and read experiments across creative, lifecycle, and onboarding, and hold a clear line on what did and did not work Build the cohort, funnel, and retention analyses that show how your vertical's users behave differently from the rest of the platform Be the analytical voice in your vertical's planning, bringing the numbers that set the targets, then hold the team accountable to them Work with analytics engineers to turn your recurring analyses into durable models rather than one-off queries Write end-to-end documentation that’s clear and thorough enough that anyone on the team can pick up your analysis without friction What We're Looking For 7+ years in growth, marketing, or product analytics, with a track record of owning a business area end-to-end Expert SQL. You can go from raw event tables to a defensible answer without help Deep fluency in full-funnel GTM metrics including CAC, ROAS, payback, conversion rate, retention, LTV, and the judgment to know when each one is misleading Experience embedded with marketing and product teams as a partner in the work, not a downstream request queue Comfort with ambiguity. You can scope a vague questio

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