Data Scientist, Product
$155k - $260k • Remote • San Francisco • FullTime
Posted 1mo ago
About the job
Harvey is transforming how legal and professional services operate by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. This is a rare chance to help build a generational company at a true inflection point, with strong product-market fit and world-class investor support. The team moves fast, takes ownership, and is deeply committed to the mission, operating with intensity and pushing for excellence.
As a Product Data Scientist, you will be a core member of Harvey's product development organization and a foundational member 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, understand user behavior, and make high-quality decisions in a fast-moving environment. This role is both strategic and hands-on, requiring you to define north-star and product-level metrics, design experiments and causal analyses, build source-of-truth reporting, and turn ambiguous product questions into clear recommendations. You should be comfortable operating where the data is imperfect, the product is evolving quickly, and the right answer requires both analytical rigor and strong product judgment.
Responsibilities
- Partner with Product and Engineering teams to identify opportunities for improving user experience, adoption, retention, and business impact.
- Define and maintain core metrics for 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 to empower teams to answer product questions confidently.
- 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.
- Collaborate with Engineering and Data teams to enhance the infrastructure for analytics, experimentation, and decision-making.
- Establish standards, practices, and culture for Product Data Science at Harvey.
Requirements
- 5+ years of experience in data science, product analytics, economics, statistics, or another quantitative field, preferably in a high-growth product company, AI company, research organization, or similarly ambiguous environment.
- Proven ability to use SQL, Python, and statistical methods to answer product questions and drive product or business impact.
- Experience defining new metrics and measurement frameworks from scratch, especially for products with evolving usage patterns or success criteria.
- Deep fluency in experimentation, causal inference, A/B testing, and statistical modeling, with good judgment on precision vs. directional clarity.
- Strong product instincts and curiosity about user adoption and evaluation of AI-enabled workflows.
- Excellent written and verbal communication skills, with the ability to influence stakeholders through clear reasoning and data stories.
- Comfort creating structure in fast-moving, ambiguous environments and improving decision-making quality.