Staff Data Scientist, Marketing

Reposted 8 Days Ago
San Francisco, CA, USA
Hybrid
170K-260K Annually
Senior level
Artificial Intelligence • Legal Tech • Professional Services • Software
The Role
The role involves building the marketing data science function, developing metrics, dashboards, and models to analyze marketing effectiveness, and fostering a data-informed culture.
Summary Generated by Built In
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 1000+ customers in 60+ 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 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.

What You’ll Do
  • 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.

What You Have
  • 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

Compensation

$170,000 - $260,000 USD

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

#LI-SB1

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 [email protected]

Skills Required

  • 6+ years of experience in quantitative roles
  • Expertise in SQL with experience in ETL workflows
  • Strong experience with modern data stack such as DBT and Looker
  • Proficiency in Python and R
  • Experience defining and operationalizing marketing metrics

Harvey Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Harvey and has not been reviewed or approved by Harvey.

  • Healthcare Strength Healthcare coverage is described as comprehensive, spanning medical, dental, vision, mental health support, and fertility benefits. This breadth indicates robust health protections within the total rewards package.
  • Parental & Family Support Paid parental leave is prominently offered with eligibility starting on day one. Family-building support complements leave policies to support different life stages.
  • Equity Value & Accessibility Equity is routinely positioned alongside competitive cash, with communications emphasizing pre-IPO upside. This signals meaningful access to ownership as part of compensation.

Harvey Insights

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The Company
HQ: San Francisco, California
373 Employees
Year Founded: 2022

What We Do

Harvey is a generative AI company backed by Sequoia and OpenAI's startup fund building the future of professional services.

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