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HarveyHarveySan Francisco, CA

Senior Data Scientist, Marketing

Build marketing data science function, define metrics and dashboards, model channel/campaign performance using stats/ML. Partner with Marketing/GTM/Finance; requires 6+ years experience, SQL/Python/R expertise, modern data stack proficiency.

170k – 200k/yr
Hybrid6+ YOEData Science

About the role

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

  • 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

Compensation

$170,000 - $200,000 USD

Skills

SQLPythonRdbtLookerSalesforceMarketoETLMarketing Mix ModelingMulti-Touch Attribution

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