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Staff Data Scientist, Marketing

Reddit· Data Science
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Hybrid (Ontario, Canada)full-timePosted 5mo ago

About the role

Senior level role leading the strategy and technical execution of Reddit’s Marketing Intelligence initiatives, focusing on measuring and optimizing marketing spend for both B2B (advertisers) and B2C (growth) with high autonomy and impact.

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.
  • Deep understanding of the marketing ecosystem, including hands-on experience with Marketing Mix Modeling (MMM), Incrementality Testing, and Customer Lifetime Value (LTV) prediction.
  • 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).
  • Proven ability to influence C-suite stakeholders and translate complex statistical concepts into business strategy.
  • Experience working in fast-paced environments with ambiguity and ability to build frameworks from the ground up.

Skills

Required:Marketing Measurement StrategyMMM & MTACausal Inference & ExperimentationData Modeling & Analytics LeadershipPython/R & SQL

Benefits

  • 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
  • Comprehensive Medical Benefits & Health Care Spending Account
  • Registered Retirement Savings Plan with matching contributions
  • Income Replacement Programs
  • 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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