Senior Staff Data Scientist - Consumer Experimentation

About Reddit

Reddit is a vibrant community of communities, built on shared interests, passion, and trust. It hosts over 100,000 active communities and approximately 126 million daily active unique visitors, serving as a major source of online information. Reddit is in a phase of rapid innovation and growth, offering a chance to significantly impact one of the internet's most influential platforms. Visit www.redditinc.com for more details.

The Role

Consumer data science is central to Reddit's mission of connecting people with the best information and communities. The platform's unique experimentation landscape, characterized by interconnected communities and user interactions, presents complex challenges where standard A/B testing assumptions often falter. We are seeking a senior technical leader to elevate causal inference and experimentation rigor across the entire Consumer organization. As a Senior Staff Data Scientist, you will be the go-to expert for experimentation methodology, tackling the most complex and high-stakes challenges within the Consumer team.

Responsibilities

• Serve as the technical authority on experimentation methodology across Consumer, setting standards for design, analysis, and interpretation in a complex, networked environment.
• Address challenging experimentation problems, including spillover and network effects, interference, two-sided experimentation, and long-run effect estimation.
• Develop and advance causal inference methods for situations where standard randomization assumptions are violated (e.g., cluster-randomized designs, switchback experiments, synthetic control).
• Design experimentation frameworks and guardrail metrics that account for ecosystem-level effects to measure true causal impact.
• Identify opportunities to unlock product insights through improved experimentation methodology.
• Build and scale self-serve experimentation tools, platforms, and best-practice documentation to enhance experimentation velocity and literacy.
• Influence long-term product strategy by translating experimental results into actionable recommendations for senior leadership.
• Mentor and elevate other data scientists on experimentation best practices, causal reasoning, and statistical rigor.
• Publish and share methodological advances internally and externally.

Required Qualifications

• Ph.D. in Statistics, Econometrics, Economics, Computer Science, or a related quantitative field with a 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 in applied science, data science, or experimentation-focused roles.
• For Ph.D. holders: 8+ years of industry experience in applied science, data science, or experimentation-focused roles.
• Deep expertise in causal inference, including practical experience with network interference, two-sided experimentation, switchback designs, cluster randomization, and/or synthetic control methods.
• Strong theoretical grounding in experimental design (power analysis, variance reduction, sequential testing, multiple comparison corrections).
• Experience with experimentation platforms at scale (building or significantly extending).
• Expert knowledge of SQL and proficiency in R and/or Python for statistical computing.
• Proven 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.
• Ability to solve ambiguous, technically complex problems in a structured, hypothesis-driven manner.
• Excellent communication skills, explaining nuanced statistical concepts to technical and non-technical stakeholders.
• Experience mentoring data scientists and building organizational capability in experimentation and causal reasoning.
• Comfortable in innovative and fast-paced environments with a bias toward action.

Preferred Qualifications

• Published research or industry contributions in areas such as interference in experiments, 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 with community-level dynamics.

Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs.
• 401k with Employer Match.
• Global Benefit programs (workspace, professional development, caregiving support).
• Family Planning Support.
• Gender-Affirming Care.
• Mental Health & Coaching Benefits.
• Flexible Vacation & Paid Volunteer Time Off.
• Generous Paid Parental Leave.

Compensation

• The base salary range for this position is $232,500 - $325,500 USD.
• This job is eligible for equity (RSUs) and potentially commission, depending on the role offered.
• Additional details on benefits and compensation can be found at https://www.redditinc.com/careers/.

AI in Interviews

• Interviews may be recorded, transcribed, and summarized by AI. Candidates will have the option to opt out of recording, transcription, and summarization prior to interviews.
• Personal information collected (identifiers, professional info, audio/video) will be used for evaluating applications and will not be sold or disclosed for marketing purposes. Recordings will be deleted promptly after a hiring decision is made. Refer to the Candidate Privacy Policy for more information.

Equal Opportunity Employer

Reddit is committed to building a diverse and inclusive workforce and provides reasonable accommodations for individuals with disabilities during the application process.