Senior Data Scientist / Analyst, Product

Polymarket
New York, NY
On-site

Who this role is best for

Best suited to candidates with deep product analytics experience and a strong understanding of user behavior in trading or marketplace environments, working in New York.

Best fit for

  • Candidates with 7+ years in product analytics and a track record of driving product decisions through data
    — “7+ years in product analytics, data science, or a similar role supporting a consumer or trading product
  • Individuals who can translate user behavior into actionable product insights and hypothesize about user motivations
    — “Strong product sense. You can look at a funnel and form a hypothesis about the user behind it, not just describe the number
  • Candidates who have experience designing and executing A/B tests in production environments
    — “Deep experimentation experience. You have designed and read A/B tests in production

Things to consider

  • The role demands a high level of autonomy in scoping ambiguous questions and defending assumptions
    — “Comfort with ambiguity. You can scope a vague question into a real analysis and defend the assumptions you made along the way
  • Candidates must be prepared to operate in a fast-moving environment with frequent changes in business logic
    — “Comfortable operating in a fast-moving environment where business logic changes frequently

How to stand out

  • Highlight your ability to define and own product success metrics with clear, defensible reasoning
    — “Define the metrics that determine whether a feature worked
  • Demonstrate experience in turning user behavior into product direction, not just reporting numbers
    — “Turn user behavior into product direction. Surface where people drop off, what the friction actually is
  • Emphasize your hands-on experience with event tracking and instrumentation design
    — “Hands-on experience defining event tracking and instrumentation
  • Showcase your ability to communicate complex analyses clearly to non-technical stakeholders
    — “Strong communication. You can take a complex analysis to a non-technical audience
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • defining product success metrics
  • designing and reading A/B tests
  • explaining user behavior
Typical background
7+ years in product analytics, data science

Skills & requirements

Required

Product AnalyticsA/B TestingSQLExperimentationFunnel And Behavioral AnalysisProduct Direction

Preferred

Data Science BackgroundTrading, Marketplace, Or Other Two-sided Products

Stack & domain

SQLA/B TestingFunnel And Behavioral AnalysesEvent Tracking And InstrumentationData Science BackgroundCausal InferenceQuasi-experimental MethodsPredictive Modeling In Python Or RCommunicationProblem-solvingAnalytical SkillsProduct SenseProduct AnalyticsData ScienceConsumer ProductTrading Product

About the role

Original posting from Polymarket via Ashby

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

Source: Polymarket careers (Ashby)

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