Senior Data Scientist / Analyst, Product

Polymarket; New York (NY); On-site; USD 200,000 - 300,000; Full time

Benefits offered by this job

Competitive salary

Unlimited PTO

Health, Vision, Dental

401k match

MacBook Pro setup

Job summary

Polymarket is hiring a Senior Data Scientist/Analyst to partner with the product team and own product insights end-to-end. You will define success metrics, design experiments, and interpret results in a fast-moving environment where releases ship quickly.

You will bring 7+ years in product analytics or data science, expert SQL, and hands-on experience with event tracking and experimentation to guide product direction and improve user engagement.

Qualifications

• 7+ years in product analytics, data science, or a similar role supporting a consumer or trading product.
• Expert SQL.
• Deep experimentation experience with production A/B tests.
• Strong product sense to form hypotheses from funnels, not just describe numbers.
• Hands-on experience defining event tracking and instrumentation.
• Comfort with ambiguity in scoping questions into real analyses.
• Strong communication to explain analyses to a non-technical audience.
• Experience with data science in Python or R is a plus.
• Experience with trading, marketplaces, or two-sided products is a plus.

Responsibilities

• Partner with product managers, designers, and engineers as the analytical owner for product.
• Define metrics to determine whether a feature worked and report when it did not.
• Design, instrument, and read A/B tests end-to-end, including sample size and guardrails.
• Build funnel and behavioral analyses to show how users find a market and make trades.
• Turn user behavior into product direction and surface drop-offs and friction.
• Own event tracking specs and partner with engineers to land instrumentation correctly.
• Work with analytics engineers to promote analyses into modeled datasets.
• Write end-to-end documentation so teammates can reuse analyses.

Skills

SQL Expert

Experimentation

Product sense

Event tracking

Ambiguity tolerance

Communication

Fast-moving

Python or R

Trading knowledge

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 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.

What You'll Do

• 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

What We're Looking For

• 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

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.