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 1000+ 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.
We’re hiring a Senior Marketing Data Scientist to partner closely with Harvey’s Marketing organization and build our marketing data science function from the ground up. In this role, you’ll serve as a trusted analytical partner to Marketing, GTM, and Finance - defining how we measure marketing success, understanding what drives channel and campaign performance, and informing where and how we invest to accelerate growth. As one of the earliest Marketing data science hires, you’ll own the development of core Marketing metrics, scalable dashboards, and analytical frameworks that enable data-driven decision-making across the business.
Embed deeply with the Marketing organization as a trusted partner, identifying opportunities to improve performance and drive growth.
Define, track, and evolve core metrics across marketing and business functions, building scalable dashboards and reporting frameworks that enable data-driven decision-making.
Design, implement, and evaluate models (multi-touch attribution, marketing mix modeling, incrementality) for comprehensive Marketing Channel and Campaign performance and contribution.
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 Marketing, RevOps and GTM System, 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.
6+ years of experience in quantitative roles operating in highly ambiguous environments, ideally as an early data scientist or Marketing analyst within a hyper-growth product company or research organization
Expertise in SQL, with extensive experience extracting large datasets and designing ETL workflows
Expertise working with Salesforce, Marketo and Ads spent data
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 Marketing, GTM and Finance
Strategic mindset capable of generating insights that extend beyond traditional statistical significance testing to inform long-term product and business direction
$170,000 - $200,000 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 accommodations@harvey.ai
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