Staff Data Scientist, Ads Experimentation

Details

Reddit's Ads Data Science team is seeking a highly motivated Staff Data Scientist to revolutionize our advertising platform through cutting-edge experimentation. In this pivotal role, you'll spearhead the design, implementation, and analysis of complex A/B tests and advanced experimentation methodologies, driving significant improvements in advertiser performance and user experience. You'll be a strategic partner, collaborating closely with product managers, engineers, and fellow data scientists to shape a forward-thinking experimentation roadmap. As a thought leader, you'll champion best practices, driving the adoption of novel techniques in modeling, statistical frameworks, and causal inference, while mentoring junior data scientists. You'll thrive in a dynamic, cross-functional environment, partnering with a world-class team to push the boundaries of data-informed decision-making and product creation within Reddit's two-sided ads marketplace. If you are passionate about experimentation, eager to challenge the status quo, and driven to make a tangible impact, join us in shaping the future of Reddit ads.

Responsibilities

• Revolutionize Ad Performance with Advanced Experimentation: Lead the design, implementation, and analysis of sophisticated A/B tests and experiments, leveraging innovative techniques like Bayesian approaches and causal inference to optimize complex ad strategies.
• Deliver Data-Driven Strategic Advantage: Extract critical insights through in-depth analysis, developing automated tools and actionable recommendations to drive impactful decisions. Define and refine key metrics to empower product teams with a deeper understanding of feature performance.
• Influence Product Strategy Through Data: Partner with product and engineering to shape experiment roadmaps and drive data-informed product development.
• Champion Experimentation Excellence: Provide technical leadership, mentor junior data scientists, and establish best practices for experimentation.
• Foster Cross-Functional Collaboration: Drive impactful results by collaborating effectively with product, engineering, sales, and marketing teams.

Requirements

• M.S.: 10+ years of industry data science experience, emphasizing experimentation and causal inference.
• Ph.D.: 6+ years of industry data science experience, emphasizing experimentation and causal inference.
• Master's or Ph.D. in Statistics, Economics, Computer Science, or a related quantitative field.
• Expertise in experimental design, A/B testing, and causal inference.
• Proficiency in statistical programming (Python/R) and SQL.
• Demonstrated ability to apply statistical principles of experimentation (hypothesis testing, p-values, etc.).
• Experience with large-scale data analysis and manipulation.
• Strong technical communication skills for both technical and non-technical audiences.
• Ability to thrive in fast-paced, ambiguous environments and drive action.
• Desire to mentor and elevate data science practices.
• Experience with digital advertising and marketplace dynamics (preferred).
• Experience with advertising technology (preferred).

Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs.
• 401k Match.
• Family Planning Support.
• Gender-Affirming Care.
• Mental Health & Coaching Benefits.
• Flexible Vacation & Reddit Global Days off.
• Generous paid Parental Leave.
• Paid Volunteer time off.