PolymarketVerified Source

Senior Data Scientist, Product Analytics & Experimentation

Onsite · New York, New York
Posted August 13, 2026
payroll

Overview

You will own product insights end-to-end for Polymarket, the world's largest prediction market with $115B traded. You will define success metrics, design A/B tests, and turn behavioral data into product direction. Reporting to the product leadership, you will partner with PMs, designers, and engineers to ship data-driven improvements at scale. This role stands out because you will be the analytical voice that says what really worked, even when it contradicts the narrative.

What You'll Do7

  • 1Define success metrics for every product feature and own the verdict on whether it worked, with no sugarcoating.
  • 2Design, instrument, and read A/B tests end-to-end, including sample size, guardrails, and stop decisions.
  • 3Build funnel and behavioral analyses in SQL that explain how users find a market, place a first trade, and return.
  • 4Transform user behavior into product direction by surfacing drop-offs and friction points, then prioritize what to build next.
  • 5Own the event tracking spec for your area, collaborating with engineers to ensure instrumentation lands correctly the first time.
  • 6Work with analytics engineers to promote recurring analyses into modeled datasets, reducing one-off queries.
  • 7Write clear end-to-end documentation so any team member can pick up your analysis without friction.

Requirements10

  • 17+ years in product analytics or data science supporting a consumer or trading product.
  • 2Expert SQL - you can go from raw event tables to a defensible answer without help.
  • 3Deep experimentation experience - you have designed and read A/B tests in production and can explain null results plainly.
  • 4Strong product sense - you can look at a funnel and hypothesize the user behind it, not just describe the number.
  • 5Hands-on experience defining event tracking and instrumentation, with the patience to get it right.
  • 6Comfort with ambiguity - you can scope a vague question into a real analysis and defend your assumptions.
  • 7Strong communication - you can take a complex analysis to a non-technical audience and land the recommendation.
  • 8Comfortable operating in a fast-moving environment where business logic changes frequently and you need to keep pace.
  • 9Plus: Data science background - causal inference, quasi-experimental methods, or predictive modeling in Python or R.
  • 10Plus: Experience with trading, marketplace, or two-sided products where user behavior drives the economics.

Salary Insight

Salary not disclosed in listing

Location

Typeonsite
LocationNew York, New York

Required Skills

sqlpythonrab testingexperimentation
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