Data Scientist, Product

Harvey

Product Data Scientist analyzing metrics and improving user experience in AI solutions. Collaborating across teams to establish product success measures and drive decision-making.

Posted 6/19/2026full-timeSan Francisco • California • 🇺🇸 United StatesMid-LevelSenior💰 $155,000 - $240,000 per yearWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Embed with Product and Engineering teams as a trusted analytical partner
Define and maintain core metrics that create a shared understanding of product performance
Design and evaluate experiments, including A/B tests
Analyze product usage, customer segments, and go-to-market signals
Build dashboards, reports, and self-serve tools
Develop models, forecasts, and analytical frameworks
Translate complex analyses into clear recommendations
Partner with Engineering and Data teams to improve analytics infrastructure
Establish standards, practices, and culture for Product Data Science

Requirements

What you’ll need

5+ years of experience in data science, product analytics, economics, statistics, or another quantitative field
Strong track record of using SQL, Python, and statistical methods
Experience defining new metrics and measurement frameworks from scratch
Deep fluency in experimentation, causal inference, A/B testing, and statistical modeling
Excellent written and verbal communication skills
Comfort creating structure in fast-moving, ambiguous environments

Benefits

Comp & perks

Comprehensive health, dental and vision coverage
Retirement benefits (401k match up to 4%)
Flexible PTO

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data scienceproduct analyticseconomicsstatisticsSQLPythonstatistical methodsA/B testingstatistical modelinganalytical frameworks

Soft Skills

analytical partnercommunication skillscreating structureadaptabilitycollaboration