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Data Scientist, Marketing

San Francisco, California, USA

Pay
USD 170,000–260,000/yearAnnual period assumed — pay source
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].
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Work setup
Unconfirmed
Employment
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What you’ll work on

Full posting

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.

  • Define, track, and evolve core metrics across marketing and business functions, building scalable dashboards and reporting frameworks that enable data-driven decision-making.

  • Translate complex analyses into compelling stories, delivering clear recommendations to cross-functional partners and executives.

  • Lead cross-functional analytics initiatives that synthesize competitive dynamics, customer feedback, and market trends into actionable opportunities for the business.

From the employer’s posting
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.
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.
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.

Tools in this posting

  • Python
  • SQL
  • dbt
  • Looker
  • R
Source — Tool mentions in context
- 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
- 5+ 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
- 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

Job description

View original posting ↗

Why Harvey

At Harvey, we’re transforming how legal and professional services operate. 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. We have 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 moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.

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
  • 5+ 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 accommodations@harvey.ai

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Source & posting history

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Pay
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].
Location & working pattern

San Francisco, California, USA

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Status in our records
Active
First seen by us
Jun 2, 2026
Recorded sightings
343
Last seen by us
Oct 9, 2026
Employer says posted
Jan 16, 2026

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