Senior Staff Data Scientist - Consumer Experimentation

Details

Reddit is seeking a Senior Staff Data Scientist to be the technical authority on experimentation methodology for the Consumer organization. The role focuses on causal inference and experimentation in a complex, networked platform where standard A/B testing assumptions often break down. You will own the hardest experimentation problems, design robust experiment frameworks, build self-serve tooling, influence product strategy, and mentor other data scientists.

Responsibilities

• 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 challenges 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 where standard randomization assumptions are violated (cluster-randomized designs, switchback experiments, synthetic controls)
• Design experimentation frameworks and guardrail metrics that account for ecosystem-level effects to produce valid causal impact estimates
• Identify opportunities where improved methodology unlocks new product insights
• Build and scale self-serve experimentation tools, platforms, and best-practice documentation to increase experimentation velocity and literacy across product, engineering, and design teams
• 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, where appropriate, 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 with practical experience handling 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 techniques, sequential testing, and multiple comparison corrections
• Experience with experimentation platforms at scale (building or significantly extending an internal experimentation platform)
• 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
• Demonstrated ability to take ambiguous, technically complex problems and solve them in a structured, hypothesis-driven way
• Excellent communication skills for explaining nuanced statistical concepts to technical and non-technical senior stakeholders
• Experience mentoring data scientists and building organizational capability in experimentation and causal reasoning

Preferred Qualifications

• Published research or industry contributions in 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 where community-level dynamics create non-trivial experimentation challenges

Benefits

• Comprehensive healthcare benefits and income replacement programs
• 401(k) with employer match
• Global benefit programs (workspace, professional development, caregiving support)
• Family planning support and gender-affirming care
• Mental health & coaching benefits
• Flexible vacation & paid volunteer time off
• Generous paid parental leave

Location & Policy

• Remote (United States). #LI-REMOTE

Pay Transparency

Base salary range for this US-based position: $232,500 - $325,500 USD