# Data Scientist, Product

**Company:** [Harvey](https://hotfix.jobs/companies/harvey)
**Location:** San Francisco, CA
**Role:** Data Science
**Salary:** $155k – $240k/yr
**Experience:** 5+ years
**Skills:** SQL, Python, A/B Testing, Causal Inference, Statistical Modeling, Experimentation, Product Analytics, Data Visualization, Forecasting, Metrics Definition
**Posted:** 2026-06-18

> Product Data Scientist embedded with Product and Engineering to define metrics, run experiments, and turn product usage data into actionable recommendations for AI platform decisions.

## Job Description

## What You'll Do
- Embed with Product and Engineering teams as a trusted analytical partner, identifying opportunities to improve user experience, adoption, retention, and business impact.
- Define and maintain core metrics that create a shared understanding of product performance and customer value.
- Design and evaluate experiments, including A/B tests and causal inference methods, to measure the impact of product, model, and workflow changes.
- Analyze product usage, customer segments, and go-to-market signals to surface insights, size opportunities, and inform roadmap decisions.
- Build dashboards, reports, and self-serve tools that help teams answer product questions with confidence.
- Develop models, forecasts, and analytical frameworks to explain user behavior, detect anomalies, and guide prioritization.
- Translate complex analyses into clear recommendations for technical, business, and executive audiences.
- Partner with Engineering and Data teams to improve the infrastructure that powers analytics, experimentation, and decision-making.
- Establish the standards, practices, and culture for Product Data Science at Harvey.

## What You Have
- 5+ years of experience in data science, product analytics, economics, statistics, or another quantitative field, ideally in a high-growth product company, AI company, research organization, or similarly ambiguous environment.
- A strong track record of using SQL, Python, and statistical methods to answer product questions and turn analysis into product or business impact.
- Experience defining new metrics and measurement frameworks from scratch, especially for products where usage patterns, customer value, or success criteria are still being discovered.
- Deep fluency in experimentation, causal inference, A/B testing, and statistical modeling, with good judgment about when precision matters and when directional clarity is enough.
- Strong product instincts and curiosity about how users adopt, evaluate, and expand their use of AI-enabled workflows.
- Excellent written and verbal communication skills, including the ability to influence Product, Engineering, Go-to-Market, and executive stakeholders through clear reasoning and compelling data stories.
- Comfort creating structure in fast-moving, ambiguous environments and raising the quality of decision-making for the teams.

## Bonus
- Experience with AI/ML products, large language models, developer tools, enterprise software, or products used in complex professional workflows.
- Experience as an early data science or analytics hire at a hyper-growth startup, including helping define team norms, tooling, and best practices.
- Experience supporting enterprise or B2B products, including analysis of adoption, engagement, retention, expansion, or go-to-market motion.
- Familiarity with modern data infrastructure and the practical tradeoffs involved in building reliable analytics in a rapidly evolving product environment.

## Similar roles

- [Data Scientist](https://hotfix.jobs/jobs/e5dd524d-6b18-4c2e-b1a3-eb6905be6d3a) - Arena - California - $150k – $350k/yr
- [Data Science Manager - Market Origination](https://hotfix.jobs/jobs/85839332-0cf4-472c-ba19-87d58e1c3c97) - PrizePicks - Remote - $160k – $190k/yr
- [Data Science Manager - Sports Pricing](https://hotfix.jobs/jobs/145095ad-9358-43e0-a142-339f34eb01c7) - PrizePicks - Remote - $160k – $190k/yr
- [Data Scientist](https://hotfix.jobs/jobs/b32685f3-fd3b-4339-a3d5-997e823d5b89) - Findigs - New York, NY - $160k – $185k/yr
- [Quantitative Trading Strategist](https://hotfix.jobs/jobs/cc1bff62-0863-4a42-9dcc-6ec948ac74f7) - The Voleon Group - Berkeley, CA - $160k – $200k/yr

**Apply:** https://hotfix.jobs/jobs/2c3b618b-8668-4075-a4bd-5ac8b004c003
**Canonical:** https://hotfix.jobs/jobs/2c3b618b-8668-4075-a4bd-5ac8b004c003