Senior Staff Data Scientist
Core
Senior technical leader defining experimentation methodology and causal inference standards for Reddit's Consumer organization to handle network effects and interference.
Role type
Senior Staff Data Scientist (Experimentation & Causal Inference)
Builds
Self-serve experimentation tools, platforms, and best-practice documentation
Domain
Social media / Consumer internet / Causal inference
Deliverable
production ML models | research | infrastructure
Required skills
Causal inference, experimental design, network interference analysis, cluster-randomized designs, switchback experiments, synthetic control methods, power analysis, variance reduction, sequential testing, SQL, R, Python
Preferred skills
Bayesian experimental methods, bandit algorithms, adaptive experimental designs, published research in interference/network experimentation
Technologies
R, Python, SQL
Responsibilities
Set standards for experiment design, analysis, and interpretation in complex networked environments; Develop methods for causal inference where standard randomization assumptions are violated; Design experimentation frameworks and guardrail metrics accounting for ecosystem-level effects; Build and scale self-serve experimentation tools and platforms; Mentor and elevate other data scientists on experimentation best practices and causal reasoning; Influence long-term product strategy through experimental insights
Seniority
Senior Staff, hands-on IC with strategic influence
