Staff Data Scientist, Marketing

Reddit Reddit · Consumer · San Francisco, CA · Consumer Data Science

Staff Data Scientist role at Reddit focused on Marketing Intelligence, optimizing marketing spend for B2B and B2C growth using advanced experimentation, causal inference, and econometrics. The role involves setting strategy, building MMM and MTA systems, and influencing senior leadership.

What you'd actually do

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. Lead Through Influence: Collaborate deeply with Marketing, Growth, and Finance to translate complex data insights into actionable budget shifts.

Skills

Required

  • Advanced degree (Master’s or Ph.D.) in Statistics, Economics, Mathematics, or a related quantitative field
  • Marketing Mix Modeling (MMM)
  • Incrementality Testing
  • Customer Lifetime Value (LTV) prediction
  • Python or R
  • SQL
  • production-grade data pipelines
  • machine learning for predictive modeling
  • churn prediction
  • lead scoring
  • influencing C-suite stakeholders
  • translating complex statistical concepts into business strategy
  • working in fast-paced environments
  • navigate ambiguity
  • build frameworks from the ground up

Nice to have

  • Bayesian structural time series
  • causal inference libraries
  • high-growth marketplace or social media platform experience
  • passion for the Reddit community
  • understanding of our unique "Ads-as-Content" philosophy

What the JD emphasized

  • lead the strategy and technical execution
  • primary architect
  • set the long-term strategic goals
  • defining how we value our brand and performance efforts
  • Deep understanding of the marketing ecosystem
  • 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
  • Proven track record of influencing C-suite stakeholders
  • translating complex statistical concepts into business strategy
  • Experience working in fast-paced environments where you must navigate ambiguity and build frameworks from the ground up