Staff Data Scientist, Marketing
Remote - Ontario, Canada +1 · Remote · Staff · Full-time · Posted May 15, 2026
- Location
- Remote - Ontario, Canada
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 marketing investments across advertiser acquisition and user growth.
What you'll do
- Set the long-term marketing measurement roadmap, North Star metrics, and budget frameworks.
- Build and refine Media Mix Models and Multi-Touch Attribution systems; lead incrementality and geo-holdout experiments.
- Unify B2B and B2C growth measurement, communicate findings to stakeholders, and mentor junior scientists.
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 with production-grade data pipelines and machine learning for predictive modeling.
- Track record influencing C-suite stakeholders and translating 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.
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 may be performed using AI in select roles and locations; candidates may opt out.
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