Data Scientist, Product

Role Overview

The Product Data Scientist will join Harvey’s product development organization and contribute to the Data Science function. They will collaborate with Product, Engineering, Design, Go-to-Market, and leadership to define product success metrics, understand user behavior, and make informed decisions.

What You'll Do

• Embed with Product and Engineering teams as a trusted analytical partner, identifying opportunities to enhance user experience, adoption, retention, and business impact.
• Define and maintain core metrics that provide a shared understanding of product performance and customer value.
• Design and evaluate experiments, including A/B tests and causal inference methods, to assess the impact of product, model, and workflow changes.
• Analyze product usage, customer segments, and go-to-market signals to uncover insights, size opportunities, and guide roadmap decisions.
• Build dashboards, reports, and self-serve tools to enable teams to confidently answer product questions.
• Develop models, forecasts, and analytical frameworks to explain user behavior, detect anomalies, and prioritize features.
• Partner with Engineering and Data teams to improve analytics, experimentation, and decision-making infrastructure.
• Establish 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 a related field, preferably in a high-growth product company, AI company, research organization, or similar ambiguous environment.
• A strong background in SQL, Python, and statistical methods for answering product questions and driving impact.
• Experience in defining new metrics and measurement frameworks, especially for products with evolving usage patterns, customer value, or success criteria.
• Deep expertise in experimentation, causal inference, A/B testing, and statistical modeling, with a good sense of when precision and directional clarity matter.
• Strong product instincts and curiosity about how users interact with AI-enabled workflows.
• Excellent written and verbal communication skills, including the ability to influence stakeholders through clear reasoning and compelling data stories.
• Comfortable creating structure in fast-paced, ambiguous environments and improving decision-making processes for teams.

Bonus Experience

• Experience with AI/ML products, large language models, developer tools, enterprise software, or products used in complex professional workflows.
• Early data science or analytics roles in hyper-growth startups, including setting up team norms, tooling, and best practices.
• Experience supporting enterprise or B2B products, such as analysis of adoption, engagement, retention, expansion, or go-to-market motion.
• Familiarity with modern data infrastructure and the practical trade-offs involved in building reliable analytics in rapidly evolving product environments.

Pay

$155,000 - $260,000 Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here].

Company Information

Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related conditions, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai.