Senior Data Scientist / Analyst, Growth

Unchain Data; New York (NY); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Salary & equity

Unlimited PTO

Health, Vision & Dental

401k match

MacBook Pro setup

Job summary

Polymarket is seeking a Senior Data Scientist / Analyst, Growth to own full-funnel GTM analytics for a vertical team such as sports, crypto, politics, or finance. You’ll own analytics from paid acquisition through first trade to repeat engagement and guide where to invest.

You’ll set the analytical agenda, partner with marketing, design experiments, build cohort and retention analyses, and communicate clear recommendations in a fast-moving environment.

Qualifications

• 7+ years in growth, marketing, or product analytics; ownership of a business area end-to-end.
• Expert SQL. Ability to go from raw event tables to defensible answers without help.
• Deep fluency in full-funnel GTM metrics including CAC, ROAS, payback, conversion rate, retention, LTV.
• Experience embedded with marketing and product teams as a partner, not a downstream queue.
• Comfort with ambiguity; ability to scope vague questions into real analyses and defend assumptions.
• Strong communication to translate complex analyses to non-technical audiences.
• Plus: Data science background with experimentation design, causal inference, or predictive modeling in Python or R.
• Plus: Interest or expertise in verticals like sports, crypto, or politics.
• Plus: Experience in fintech, crypto, prediction markets, or data-heavy financial products.

Responsibilities

• Own full-funnel analytics for your vertical from paid acquisition through first trade to repeat engagement.
• Partner with marketing on spend efficiency including CAC, ROAS, payback, and channel mix; decide where incremental dollars go.
• Size and prioritize growth opportunities within your vertical and estimate ROI.
• Design and read experiments across creative, lifecycle, and onboarding; defend what worked and what didn’t.
• Build cohort, funnel, and retention analyses showing how your vertical behaves differently from the rest of the platform.
• Be the analytical voice in vertical planning; set targets and hold the team to them.
• Collaborate with analytics engineers to turn recurring analyses into durable models.
• Write end-to-end documentation so teammates can reuse analyses without friction.

Skills

SQL

Analytics

Communication

Growth mindset

Ambiguity handling

Python

R

Tools

Python

R

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 for one of our vertical teams like sports, crypto, politics, or finance. You'll sit inside that team as its dedicated data scientist / analyst, 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