Role at a glance
- Salary
- $170K – $260K/yr
- Location
- San Francisco, United States
- Work arrangement
- Hybrid
- Employment
- Full-time
- Experience
- 5+ years of experience in quantitative roles operating in highly ambiguous environments
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Role Summary
The Marketing Data Scientist partners with Marketing, GTM, and Finance to measure marketing performance and inform investment decisions. They build core marketing metrics, dashboards, models, and analytical frameworks to support data-driven decisions across the business.
What You'll Do
- Partner with Marketing to identify opportunities to improve performance and drive growth.
- Define and track marketing and business metrics, and build scalable dashboards and reporting frameworks.
- Design, implement, and evaluate attribution, marketing mix, and incrementality models to assess channel and campaign performance.
- Use statistical and machine learning techniques to model user behavior, forecast trends, and identify growth opportunities.
- Translate analyses into recommendations for cross-functional partners and executives.
- Partner with Marketing, RevOps, and GTM Systems on data infrastructure, pipelines, and reliable data sources.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
5+ years of experience in quantitative roles in highly ambiguous environments; expertise in SQL, Salesforce, Marketo and ads spend data; experience with modern data stacks such as DBT, Looker and Omni, and programming languages such as Python and R; experience operationalizing marketing campaign and channel metrics; strong cross-functional communication and strategic insight-generation skills.
Required
- 5+ years of experience in quantitative roles operating in highly ambiguous environments
- 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...
Preferred
- Ideally as an early data scientist or Marketing analyst within a hyper-growth product company or research organization
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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
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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 [email protected]
About the company
Harvey
Startup
Harvey is an innovative technology company focused on streamlining the recruitment process through cutting-edge artificial intelligence solutions. By leveraging data-driven insights, Harvey enhances the connection between employers and job seekers, making it easier for companies to find the right talent efficiently. With a commitment to improving the hiring experience for both candidates and organizations, Harvey is at the forefront of transforming traditional recruitment methods into a more effective, user-friendly approach.