Why Harvey

At Harvey were transforming how legal and professional services operate. By combining frontier agentic AI an enterprise-grade platform and deep domain expertise were 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 1500 customers in 60 countries strong product-market fit and world-class investor support were 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 moves fast takes ownership and is deeply committed to the mission operating with intensity staying close to our customers and pushing each other for excellence. We live by three values: Decisiveness Simplicity and Jobs Not Finished. We act quickly on clear judgment over perfect information we believe simplicity is what scales and were never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive wed love to build with you.

At Harvey the future of professional services is being written today and were just getting started.

Role Overview

As a Product Data Scientist you will be a core member of Harveys 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 understand user behavior and make high-quality decisions in a fast-moving environment.

This role is both strategic and hands-on. You will 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.

What Youll Do

• 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.

• 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.

• Partner with Engineering and Data teams to improve the infrastructure that powers analytics experimentation and decision-making.

• Establish the 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 another quantitative field ideally in a high-growth product company AI company research organization or similarly ambiguous environment.

• 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 discovered.

• 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.

• Excellent written and verbal communication skills including the ability to influence Product Engineering Go-to-Market and executive stakeholders through clear reasoning and compelling data stories.

• Comfort creating structure in fast-moving ambiguous environments and raising the quality of decision-making for the teams.

Bonus

• Experience with AI/ML products large language models developer tools enterprise software or products used in complex professional workflows.

• Experience as an early data science or analytics hire at a hyper-growth startup including helping define team norms tooling and best practices.

• Experience supporting enterprise or B2B products including analysis of adoption engagement retention expansion or go-to-market motion.

• Familiarity with modern data infrastructure and the practical tradeoffs involved in building reliable analytics in a rapidly evolving product environment.

Compensation

$155000 - $260000

Depending on your location an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices here.

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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

Required Experience:

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