Senior Data Scientist, Harvey
Go To Market
$170-200k
+ Equity and bonus
More information about location
Domain-specific AI for legal and professional services
Be an early applicant
Domain-specific AI for legal and professional services
501-1000 employees
Be an early applicant
$170-200k
+ Equity and bonus
More information about location
501-1000 employees
Company mission
To help professionals develop expertise, faster.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
The explosive popularity of generative AI tools has seen specialized solutions popping up for all kinds of industries. Hoping to help supercharge efficiency and productivity for legal teams, Harvey supplies generative AI that can assist with documentation, as well as aid research and optimize workflows.
Via natural language instructions, Harvey helps draft and analyze legal documents. It can also answer complex questions across large document sets, or even handle research queries that cover multiple domains in legal, regulatory and tax.
Its ability to support legal practitioners as if it's another member of the team is what makes Harvey particularly interesting. This approach has seen the company raise substantial funding, reaching Unicorn status in 2024. Funds are now being used to expand to new geographies, grow headcount and further collect and curate data to train more “domain-specific” AI models.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 9 rounds)
Oct 2025
$160m
LATE VC
Oct 2025
$59m
GROWTH EQUITY VC
Total funding: $1.0bn
Company HQ
Financial District, San Francisco, CA
Leadership
Winston Weinberg
(Co-Founder & CEO)Graduated with a Juris Doctor from the USC Gould School of Law, then spent 1 year as an Associate at O'Melveny & Myers before founding Harvey.
Gabe Pereyra
(Co-Founder & President)Previously worked as a Research Scientist at Meta and DeepMind. Also spent a year as a Brain Resident at Google.
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