# Senior Data Scientist, Product

**Company:** [Polymarket](https://hotfix.jobs/companies/polymarket)
**Location:** New York, NY
**Role:** Data Science
**Experience:** 4+ years
**Skills:** SQL, Python, R, A/B Testing, Causal Inference, Statistics, Product Analytics, Data Visualization, personalization, ranking, Recommendation Systems, pricing, Experimentation
**Posted:** 2026-08-05

> This product-focused data scientist will analyze platform data, define product health metrics, and design experiments that guide product decisions. The role requires 4+ years of data science or product analytics experience, strong SQL and Python or R skills, experimentation expertise, and excellent communication.

## Job Description

## Responsibilities
- Define, build, and maintain dashboards that show product performance and surface anomalies.
- Quantify opportunities and help set realistic, measurable key results grounded in data.
- Plan, instrument, and analyze A/B tests and other causal analyses; make ship, iterate, or kill recommendations.
- Partner on personalization, ranking, and incentives initiatives from framing through measurement.
- Produce clear readouts for product and leadership and translate findings into decisions.

## Requirements
- 4+ years of experience in data science or product analytics, ideally for a consumer product with a fast, iterative development cycle.
- Strong SQL and proficiency in Python or R for analysis and modeling.
- Expertise designing A/B tests, reasoning about power and bias, and applying causal-inference methods when experimentation is not possible.
- Strong foundation in statistics and judgment in selecting appropriate methods.
- Product sense and ability to turn ambiguous questions into effective analyses and concrete recommendations.
- Excellent communication skills, including explaining complex data to nontechnical audiences.
- Comfortable working independently in a lean, ambiguous, fast-moving environment.

## Nice-to-haves
- Experience with personalization, ranking, recommendation, or pricing and incentive systems.
- Familiarity with prediction markets, trading, cryptocurrency, or other real-money marketplaces.
- Experience building experimentation practices.

## Compensation and Benefits
- Competitive salary and equity.
- Unlimited paid time off.
- Full health, vision, and dental coverage.
- 401(k) match.
- Hardware setup including a new MacBook Pro, large display, and accessories.

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