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New York, New York, United States
Onsite
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.
Polymarket is looking for a Senior Data Scientist / Analyst to be the analytical partner to our product team and the person who can say whether what we shipped actually worked. You'll own product insights end-to-end, from defining its success metrics, to designing the experiments that test them, to telling the team what the results mean.
This is a role for someone with real product instincts, not just query skills. You'll spend as much time forming hypotheses about why users behave the way they do as you will validating them, and you'll be expected to push back when a feature's numbers don't support the story being told about it. You'll do it all in a fast-moving environment where we ship constantly and the answer is usually needed before the next release.
Partner with product managers, designers, and engineers as the analytical owner for product
Define the metrics that determine whether a feature worked, and be the person willing to say plainly when it did not
Design, instrument, and read A/B tests end-to-end, including the calls on sample size, guardrail metrics, and when to stop a test
Build the funnel and behavioral analyses that explain how users find a market, place a first trade, and come back for the next one
Turn user behavior into product direction. Surface where people drop off, what the friction actually is, and what is worth building next
Own the event tracking spec for your area, working with engineers so instrumentation lands correctly the first time rather than being reconstructed later
Work with analytics engineers to promote your recurring analyses into modeled datasets 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 product analytics, data science, or a similar role supporting a consumer or trading product
Expert SQL. You can go from raw event tables to a defensible answer without help
Deep experimentation experience. You have designed and read A/B tests in production, and you can explain a null result without spinning it
Strong product sense. You can look at a funnel and form a hypothesis about the user behind it, not just describe the number
Hands-on experience defining event tracking and instrumentation, and the patience to get it right
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 - causal inference, quasi-experimental methods, or predictive modeling in Python or R
(Plus) Experience with trading, marketplace, or other two-sided products where user behavior drives the economics
Competitive salary & equity
Unlimited PTO
Full Health, Vision, & Dental coverage
401k match
Hardware setup: new MacBook Pro, big display, & accessories
