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 question into a real analysis and defend the assumptions you made along the way - Strong communication. You can take a complex analysis to a non-technical audience and land the recommendation - Comfortable 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 products BENEFITS - Competitive salary & equity - Unlimited PTO - Full Health, Vision, & Dental coverage - 401k match - Hardware setup: new MacBook Pro, big display, & accessories PAY 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.

Requirements

Must-haves

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
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 question into a real analysis and defend the assumptions you made along the way
Strong communication. You can take a complex analysis to a non-technical audience and land the recommendation
Comfortable 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 products

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

gorestsqlpython

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Pto