Staff Data Scientist - Ads Measurement, Signals, Privacy
Remote - Ontario, Canada +1 · Remote · Staff · Full-time · Posted Aug 3, 2026
- Location
- Remote - Ontario, Canada
Remote - United States - Experience
- M.S.: 10+ years of industry experience in applied science or data science roles; Ph.D.: 6+ years.
- Education
- Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research.
About the job
Leads high-impact data science work in Reddit Ads, improving identity resolution, ad measurement, experimentation, and signal quality while guiding cross-functional strategy.
What you'll do
- Develop privacy-conscious identity resolution methods linking on-platform and off-platform actions; define ground truth and evaluation frameworks.
- Advance lift measurement and experimentation methods and infrastructure; quantify new signals and partner with modeling teams to improve bidding efficiency and ROAS.
- Influence cross-functional execution, set technical standards, and mentor colleagues across modeling, experimentation, and measurement.
What they ask for
- Master's or Ph.D. in Statistics, Mathematics, Physics, Economics, or Operations Research.
- 10+ years of industry experience in applied science or data science for M.S. holders; 6+ years for Ph.D. holders.
- Deep understanding of the ads ecosystem and demonstrated expertise in measurement and experimentation at scale, identity graph methodology, or predictive modeling with signal loss.
- Advanced proficiency in Python or R and SQL; experience with machine learning or optimization and strong understanding of experimental design, causal inference, or A/B testing.
Tools
Python, R, SQL
AI focus
The role develops probabilistic models and predictive modeling for ads identity, measurement, and signal quality. AI may also be used to record, transcribe, and summarize interviews in select roles and locations; candidates can opt out before a scheduled interview.
Model-written summary · the original posting is authoritative