Senior Staff Data Scientist - Consumer Experimentation

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 challenges such as 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 (e.g., 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 with the ability to explain nuanced statistical concepts and tradeoffs to both technical and non-technical senior 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 where community-level dynamics create non-trivial experimentation challenges Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-REMOTE Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. 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