Staff Data Scientist

8 Minutes ago • 5 Years + • $180,000 PA - $225,000 PA

Data Analysis

Job Description

Harvey is seeking a Staff Data Scientist to establish the data science foundation, understand user behavior, evaluate product performance, and identify growth opportunities. This role involves conducting in-depth analyses, designing and evaluating experiments, defining core metrics, applying statistical and machine learning techniques, and translating complex insights into actionable recommendations for product and business decisions. The ideal candidate will influence data culture and shape the experimentation framework.

Good To Have:

Early employee at a hyper-growth startup.
Experience with or knowledge of AI and LLMs.
Experience at world-class enterprise organizations (e.g., Brex, Ramp, Stripe, Palantir).

Must Have:

Conduct in-depth analyses to uncover product, customer, and market insights.
Design, implement, and evaluate experiments (A/B tests, advanced causal inference methods).
Define, track, and evolve core metrics across product and business functions.
Apply statistical and machine learning techniques to model user behavior and forecast trends.
Translate complex analyses into compelling stories and clear recommendations.
Partner with Engineering to co-develop data infrastructure.
Lead cross-functional analytics initiatives.
Champion a data-informed culture by establishing best practices and mentoring peers.
5+ years of experience in quantitative roles in highly ambiguous environments.
Proven track record of designing, executing, and analyzing rigorous experiments using SQL and Python.
Experience defining, implementing, and operationalizing feature- and product-level metrics.
Strong communication skills to effectively partner with stakeholders.
Strategic mindset capable of generating insights beyond traditional statistical significance testing.

Perks:

Equity plan participation
Comprehensive health, dental and vision coverage
Retirement benefits (401k match up to 4%)
Flexible PTO

Add these skills to join the top 1% applicants for this job

team-management

cross-functional

communication

game-texts

market-research

data-science

python

sql

stripe

machine-learning

Location

San Francisco

Employment Type

Full time

Department

Product

Compensation

$180K – $225K • Offers Equity

Additionally, this role is eligible to participate in our equity plan and benefits program. Benefits include, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits (401k match up to 4%), and flexible PTO.

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
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
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