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Staff Data Scientist, Marketing

Reddit· Data Science
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Hybrid (United States)$217k - $303.9kFull-timePosted 5mo ago

About the role

Senior data science leadership role focused on measurement, optimization, and strategy for Reddit’s marketing investments, impacting both B2B (advertisers) and B2C (new Redditors) growth in a remote-friendly environment.

Responsibilities

  • Set Long-Term Marketing Strategy: Define the 2–3 year technical roadmap for marketing measurement. Establish the "North Star" metrics and frameworks that determine how Reddit allocates hundreds of millions in marketing budget.
  • Optimize Marketing ROI: Build and refine Media Mix Models (MMM) and Multi-Touch Attribution (MTA) systems to mathematically quantify the incremental impact of marketing spend.
  • Bridge B2B & B2C Growth: Design unified frameworks to optimize marketing aimed at both new advertisers (driving revenue) and new users (driving engagement), identifying synergies where brand awareness for one fuels growth for the other.
  • Advance Causal Inference & Experimentation: Lead the design of complex "always-on" incrementality testing and geo-holdout experiments. Develop methodologies to measure the long-term "halo effect" of brand marketing on organic growth.
  • Lead Through Influence: Collaborate deeply with Marketing, Growth, and Finance to translate complex data insights into actionable budget shifts.
  • Be the Technical Guide for the Team: Mentor junior scientists and set the technical bar for code quality and statistical rigor across the Marketing organization.

Qualifications

  • Advanced degree (Master’s or Ph.D.) in Statistics, Economics, Mathematics, or a related quantitative field.
  • For M.S. holders: 10+ years of industry experience in marketing science, growth data science, or econometrics.
  • For Ph.D. holders: 6+ years of industry experience.
  • Domain Expertise: Deep understanding of the marketing ecosystem, including hands-on experience with Marketing Mix Modeling (MMM), Incrementality Testing, and Customer Lifetime Value (LTV) prediction.
  • Technical Skills: Advanced proficiency in Python or R and SQL. Experience building production-grade data pipelines and using machine learning for predictive modeling (e.g., churn prediction, lead scoring).
  • Strategic Communication: Proven track record of influencing C-suite stakeholders and translating complex statistical concepts into business strategy.
  • Adaptability: Experience working in fast-paced environments where you must navigate ambiguity and build frameworks from the ground up.

Skills

Required:Marketing Measurement LeadershipMMM (Marketing Mix Modeling)MTA (Multi-Touch Attribution)Causal Inference & ExperimentationPython or RSQLData Pipeline EngineeringStakeholder InfluenceAdaptability

Benefits

  • Comprehensive Healthcare Benefits and Income Replacement Programs
  • 401k with Employer Match
  • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
  • Family Planning Support
  • Gender-Affirming Care
  • Mental Health & Coaching Benefits
  • Flexible Vacation & Paid Volunteer Time Off
  • Generous Paid Parental Leave
Last updated Oct 7, 2026. Interested? Apply on the company site.
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