Staff Data Scientist

Why Harvey

At Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.

This is a rare chance to help build a generational company at a true inflection point. With 500+ customers in 50+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.

Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.

At Harvey, the future of professional services is being written today — and we’re just getting started.

Role Overview

We are looking for a Staff Data Scientist who can set the foundation for data science at Harvey. We’ve achieved incredible product-market fit and are scaling rapidly across diverse customer profiles. You’ll bring a combination of analytical rigor, statistical expertise, and modeling skills to help us understand our users, evaluate product performance, and uncover growth opportunities. As one of the earliest members of the data science team, you’ll influence the data culture, shape our experimentation framework, and guide key product and business decisions.

What You'Ll Do

• Conduct in-depth analyses to uncover product, customer, and market insights that inform strategy and drive measurable business impact.
• Design, implement, and evaluate experiments - including A/B tests and advanced causal inference methods - to guide product decisions and optimize outcomes.
• Define, track, and evolve core metrics across product and business functions, building scalable dashboards and reporting frameworks that enable data-driven decision-making.
• Apply statistical and machine learning techniques to model user behavior, forecast trends, and identify opportunities for growth and optimization.
• Translate complex analyses into compelling stories, delivering clear recommendations to product managers, engineers, executives, and cross-functional partners.
• Partner with Engineering to co-develop data infrastructure, ensuring robust pipelines, reliable data sources, and scalable systems that power analytics and modeling.
• Lead cross-functional analytics initiatives that synthesize competitive dynamics, customer feedback, and market trends into actionable opportunities for the business.
• Champion a data-informed culture by establishing best practices, mentoring peers, and shaping the strategic role of data science at Harvey.

What You Have

• 5+ years of experience in quantitative roles operating in highly ambiguous environments, ideally as an early data scientist or product analyst within a hyper-growth product company or research organization
• Strong communication skills, with the ability to effectively partner with product managers, engineers, and executives
• Strategic mindset capable of generating insights that extend beyond traditional statistical significance testing to inform long-term product and business direction

• Bonus

• Early employee at a hyper-growth startup
• Experience with or knowledge of AI and LLMs
• Experience at world-class enterprise orgs (ex: Brex, Ramp, Stripe, Palantir)
• Proven track record of designing, executing, and analyzing rigorous experiments using SQL and Python, with the ability to translate results into actionable product recommendations
• Experience defining, implementing, and operationalizing feature- and product-level metrics from the ground up
• Early employee at a hyper-growth startup
• Experience with or knowledge of AI and LLMs
• Experience at world-class enterprise orgs (ex: Brex, Ramp, Stripe, Palantir)
• Early employee at a hyper-growth startup
• Experience with or knowledge of AI and LLMs
• Experience at world-class enterprise orgs (ex: Brex, Ramp, Stripe, Palantir)

Compensation Range

$180,000 - $225,000 Usd

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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 condition, 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 interview-help@harvey.ai.