Data Scientist, Marketing

Responsibilities

• 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.

Requirements

• 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