Senior Staff Data Scientist - Consumer Experimentation

Reddit is a community of communities, built on shared interests, passion, and trust. It is one of the internet's largest sources of information with 100,000+ active communities and approximately 130 million daily active unique visitors.

As a Senior Staff Data Scientist on the Consumer team, you will be the go-to expert on experimentation methodology, owning the most complex and high-stakes experimentation challenges across Consumer. You will shape how Reddit learns from its experiments, ensure valid causal conclusions in the presence of network effects and interference, and influence product strategy through rigorous experimental design and analysis.

• Serve as the technical authority on experimentation methodology across Consumer, setting standards for design, analysis, and interpretation of experiments in a complex, networked environment.
• Tackle the hardest experimentation problems at Reddit, including spillover and network effects, interference between treatment and control, two-sided experimentation, and long-run effect estimation.
• Develop and advance methods for causal inference in settings where standard randomization assumptions are violated, such as cluster-randomized designs, switchback experiments, and synthetic control approaches.
• Design experimentation frameworks and guardrail metrics that account for ecosystem-level effects.
• Build and scale self-serve experimentation tools, platforms, and best-practice documentation.
• Influence long-term product strategy by driving learning through well-designed experiments and translating results into actionable recommendations.
• Mentor and elevate other data scientists on experimentation best practices, causal reasoning, and statistical rigor.

• Ph.D. in Statistics, Econometrics, Economics, Computer Science, or related quantitative field with strong focus on causal inference or experimentation methodology; or M.S. with equivalent depth of expertise.
• For M.S. holders: 12+ years of industry experience; for Ph.D. holders: 8+ years.
• Deep expertise in causal inference, including network interference/spillovers, two-sided experimentation, switchback designs, cluster randomization, and/or synthetic control methods.
• Strong theoretical grounding in experimental design, including power analysis, variance reduction, sequential testing, and multiple comparison corrections.
• Experience with experimentation platforms at scale.
• Expert knowledge of SQL and proficiency in R and/or Python for statistical computing.
• Track record of designing and analyzing experiments at scale in complex or networked environments.
• Demonstrated ability to influence product and organizational strategy through experimentation insights.
• Excellent communication skills for both technical and non-technical senior stakeholders.
• Experience mentoring data scientists and building organizational capability.

• Published research or industry contributions in interference, network experimentation, or marketplace causal inference.
• Familiarity with Bayesian experimental methods, bandit algorithms, or adaptive experimental designs.
• Experience with social network or user-generated content platforms.

Base salary range: $232,500—$325,500 USD. Eligible for equity in the form of restricted stock units. Benefits include comprehensive healthcare, 401k with employer match, flexible vacation, paid parental leave, and more.