Technology
SeniorStaffDataScientist-ConsumerExperimentation
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Staff Data Scientist - Consumer Experimentation at Reddit”
Industry & Context.
Hypothesis-driven problem solving
How You'll Work.
Communication Scope
Explain statistical concepts; Explain tradeoffs
Full Job Description
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet. Consumer data science plays a key role in fulfilling Reddit’s mission of bringing community 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 p
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