Staff Data Scientist

Summary

Join Reddit's Ads Data Science team as a Staff Data Scientist and take ownership of high-impact projects within the advertising domain. You will develop advanced models and frameworks, translate ambiguous problems into measurable outcomes, and collaborate with cross-functional teams. This role requires expertise in areas like auction optimization, targeting, and measurement. You will leverage causal inference and large-scale data systems to solve novel problems. The position offers high autonomy and the chance to influence strategic direction. Reddit is a remote-friendly company.

Requirements

• Master's or Ph.D. in Statistics, Computer Science, Economics, Operations Research, or a related quantitative discipline
• For M.S. holders: 10+ years of industry experience in applied science, data science, or machine learning engineering roles
• For Ph.D. holders: 6+ years of relevant experience applied science, data science, or machine learning engineering roles
• Demonstrated expertise in at least one of the following
• Auction Design & Optimization
• Targeting, Personalization & Lookalike Modeling
• Ads Creative & Format Evaluation
• Measurement & Experimentation at Scale
• 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
• Experience working in fast-paced, ambiguous environments with cross-functional teams

Responsibilities

• Drive Strategic Impact Across Ads Domains: Take end-to-end ownership of complex problem spaces such as auction optimization, auto-bidding, ad creative performance, personalization, and targeting
• Develop Advanced Models and Frameworks: Build and deploy predictive models, optimization frameworks, and decision-support systems that power Reddit’s ad platform and marketplace health
• Translate Ambiguity into Measurable Outcomes: Define core business and performance metrics, and design robust methodologies to measure the impact of product and modeling changes on advertiser ROI and user experience
• Lead Through Cross-Functional and Technical Influence:: Collaborate deeply with engineering, product, and sales to align on strategic goals, translate insights into action, and drive execution. Set a high technical bar by mentoring others and championing best practices across modeling, experimentation, and measurement
• Drive Innovation in Ad Systems: Leverage causal inference, auction theory, and large-scale data systems to solve novel problems in a rapidly evolving ad marketplace

Benefits

• Comprehensive Healthcare Benefits
• 401k Matching
• Workspace benefits for your home office
• Personal & Professional development funds
• Family Planning Support
• Flexible Vacation (please use them!) & Reddit Global Wellness Days
• 4+ months paid Parental Leave
• Paid Volunteer time off