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: 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 Comprehensive Medical Benefits & Health Care Spending Account Registered Retirement Savings Plan with matching contributions Income Replacement Programs Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-REMOTE In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.