Staff Data Scientist, Marketing
$217K–$304K
Remote - United States +1 · Remote · Staff · Full-time · Posted May 5, 2026
- Location
- Remote - United States
San Francisco, CA, United States - Experience
- 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.
- Education
- Advanced degree (Master’s or Ph.D.) in Statistics, Economics, Mathematics, or a related quantitative field.
About the job
Leads the strategy and technical execution of marketing measurement to optimize Reddit’s B2B advertiser acquisition and retention and B2C user growth marketing spend.
What you'll do
- Set the long-term marketing measurement roadmap, North Star metrics, and budget-allocation frameworks.
- Build and refine Media Mix Models and Multi-Touch Attribution systems; lead incrementality and geo-holdout experiments.
- Translate insights into budget decisions with Marketing, Growth, and Finance, while mentoring scientists and setting technical standards.
What they ask for
- Advanced degree (Master’s or Ph.D.) in Statistics, Economics, Mathematics, or a related quantitative field.
- Deep marketing ecosystem expertise, including hands-on 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 ability to influence C-suite stakeholders and translate statistical concepts into business strategy.
Nice to have
- Experience with Bayesian structural time series or causal inference libraries.
- Experience at a high-growth marketplace or social media platform; passion for Reddit and its “Ads-as-Content” philosophy.
Pay
$217,000 USD — $303,900 USD base salary
Tools
Python, R, SQL, Media Mix Models (MMM), Multi-Touch Attribution (MTA), Bayesian structural time series
AI focus
Uses machine learning for predictive modeling, such as churn prediction and lead scoring. Interview recording, transcription, and summarization by AI may occur in select roles and locations; candidates can opt out.
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