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.
About the job
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
SQL, Python, R, dbt, Looker, Salesforce, Marketo, ETL, Marketing Mix Modeling, Multi-Touch Attribution
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