Data Scientist; Marketing

Requirements

• 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

• 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, Rev Ops 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