Senior Data Scientist, GTM

Harvey•San Francisco, CA

23h•$145,000 - $195,000

About The Position

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 700+ customers in 58+ 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’re hiring a Senior Data Scientist to embed deeply with Harvey’s rapidly growing Go-To-Market (GTM) organization and help build our GTM data science function from the ground up. In this role, you’ll act as a trusted analytical partner to GTM, Marketing and Finance - defining how we measure success, uncovering what drives growth and retention, and shaping where and how the business invests. As one of the earliest GTM data science hires, you’ll own the development of core GTM metrics, scalable dashboards, and analytical frameworks that enable data-driven decision-making across the business.

Requirements

6+ years of experience in quantitative roles operating in highly ambiguous environments, ideally as an early data scientist or GTM analyst within a hyper-growth product company or research organization
Expertise in SQL, with extensive experience extracting large datasets and designing ETL workflows
Strong experience with modern data stack, such as DBT, Looker and Omni
Proficiency in quantitative programming languages, such as Python and R
Experience defining, implementing, and operationalizing Marketing campaign- and channel-level metrics from the ground up
Strong communication skills, with the ability to effectively partner with leaders across RevOps, Customer Success, Marketing and Finance
Strategic mindset capable of generating insights that extend beyond traditional statistical significance testing to inform long-term product and business direction

Responsibilities

Embed with the GTM organization as a trusted partner, uncovering new ways to improve the business and drive growth.
Define, track, and evolve core metrics across GTM and business functions, building scalable dashboards and reporting frameworks that enable data-driven decision-making.
Design, implement, and evaluate models (Logistic Regression, K-Means Clustering) for comprehensive customer behavior and retention performance.
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 cross-functional partners and executives.
Partner with RevOps, Marketing and GTM 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.

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