Data Scientist, Product

Ovii's Interpretation of the Role

As a Product Data Scientist at Harvey, you’ll partner across product, engineering, and leadership to define metrics, run experiments, and turn data into actionable product decisions. You’ll build reporting tools, develop analytical models, and help shape the emerging standards for product analytics in a fast‑moving AI‑focused environment.

Role Snapshot

• Product analytics partner
• Metric definition & tracking
• Experiment design & causal analysis
• Dashboard & reporting builder
• Analytics infrastructure collaborator

Must-Have Requirements

• SQL
• Python
• Statistical methods
• Experimentation & causal inference
• Product metric definition
• data science
• product analytics
• statistics
• experiment design

Nice-to-Have Signals

• AI/ML product experience
• Early‑stage data science hire at hyper‑growth startup
• Enterprise/B2B product analytics experience
• Familiarity with modern data infrastructure
• early data science hire
• enterprise/B2B product analytics

Work Setup

• Location: San Francisco, United States
• Work mode: HYBRID
• Remote scope: UNSPECIFIED
• Employment type: Full-Time

Eligibility Gates

• Visa sponsorship: unknown

Not Specified in JD

• Visa sponsorship
• Remote eligibility
• Education requirement
• Certifications

What You'll Likely Work On

• Partner with product and engineering to identify opportunities that improve user experience, adoption, and retention
• Define and maintain core product metrics and measurement frameworks
• Design and evaluate experiments, including A/B tests and causal inference analyses
• Build dashboards, reports, and self‑serve tools for product insights
• Develop models and forecasts to explain behavior, detect anomalies, and guide prioritization
• Collaborate with engineering and data teams to enhance analytics infrastructure

Good Fit If You Have

• Experience with AI/ML product analytics or large language models
• Early‑stage data science hire experience in a hyper‑growth startup
• Background in enterprise or B2B product analytics
• Familiarity with modern data infrastructure