Data Scientist, Marketing

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