Senior Staff Data Scientist - Consumer Experimentation
$232K–$326K
Remote - United States · Full-time · Posted Jun 1, 2026
- Experience
- M.S. holders: 12+ years; Ph.D. holders: 8+ years of industry experience in applied science, data science, or experimentation-focused roles.
- Education
- 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.
About the job
Leads consumer experimentation methodology at Reddit, solving complex causal inference problems and using rigorous experiments to inform product strategy.
What you'll do
- Set experimentation standards and develop methods for network effects, interference, spillovers, and long-run impact.
- Build experimentation frameworks, tools, and documentation, and translate findings into product recommendations.
- Mentor data scientists and influence experimentation practice across Consumer.
What they ask for
- Ph.D. in a related quantitative field focused on causal inference or experimentation, or M.S. with equivalent depth of expertise.
- Deep causal inference expertise and strong theoretical grounding in experimental design.
- Experience with experimentation platforms at scale and experiments in complex or networked environments.
- Expert SQL knowledge and proficiency in R and/or Python.
Nice to have
- Published research or industry contributions in interference, network experimentation, or marketplace causal inference.
- Familiarity with Bayesian experimental methods, bandit algorithms, or adaptive experimental designs.
Pay
$232,500 — $325,500 USD (base salary)
Tools
SQL, R, Python
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