Staff Data Scientist, Ads

Reddit is a community of communities built on shared interests, passion, and trust. It hosts 100,000+ active communities and approximately 130 million daily active unique visitors.

Reddit’s Ads Data Science team is looking for a highly experienced Staff Data Scientist to advance the intelligence powering the advertiser experience. You'll take deep ownership of a high-impact problem space within advertising, specializing in measurement, identity, and signal quality. This is a high-impact, high-autonomy role where you'll influence strategic direction, set a high technical bar, and drive cross-functional initiatives across one or more critical focus areas in the Ads organization.

• Design the Future of Ads Identity: Develop/employ probabilistic models for identity resolution, linking on-platform and off-platform actions to maximize addressability while honoring privacy.
• Advance Lift Methodologies & Experimentation: Own the statistical rigor behind Reddit’s Brand and Conversion Lift products, innovate experimental design, and develop infrastructure for large-scale, high-velocity, low-bias testing.
• Maximize Signal for Predictive Performance: Define strategy for new signal sources, quantify their value mathematically, and work with modeling teams to incorporate them into predictive models.
• Define Ground Truth & Evaluation Frameworks: Solve the industry-wide challenge of validating identity and measurement, designing objective functions and truth sets for models and identity graph measurement.
• Lead Through Cross-Functional and Technical Influence: Collaborate with engineering, product, and sales, set a high technical bar by mentoring others, and champion best practices.

• Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research
• For M.S. holders: 10+ years of industry experience in applied science or data science roles; for Ph.D. holders: 6+ years
• Deep understanding of the ads ecosystem
• Demonstrated expertise in at least one of: Measurement & Experimentation at Scale (lift and attribution), Identity Graph Creation & Resolution Methodology and Infrastructure, or Predictive Modeling with Signal Loss
• Advanced proficiency in statistical programming (Python or R) and SQL
• Experience with machine learning or optimization techniques
• Strong understanding of experimental design, causal inference, or A/B testing methodologies
• Exceptional problem-solving and communication skills, with a track record of influencing product and engineering partners

Base salary range: $217,000—$303,900 USD. Eligible for equity in the form of restricted stock units, and possibly commission. Benefits include comprehensive healthcare, 401k with employer match, flexible vacation, paid parental leave, and more.

Apply via the provided Greenhouse link.