Senior Data Scientist / Analyst, Growth

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.

Responsibilities

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

Requirements

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

Nice to have

Data science background: experimentation design, causal inference, or predictive modeling in Python or R; Genuine interest or expertise in one of our verticals, whether that is sports, crypto, or politics; 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