Data Scientist, Product

Job summary

Responsibilities

As a Product Data Scientist, you will be a core member of Harvey's product development organization and one of the foundational members of the Data Science function. You will partner with Product, Engineering, Design, Go-to-Market, and company leadership to define how we measure product success…

• 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.

What they're looking for

• 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…
• 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…
• 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.

Tech stack

• SQL
• Python