$180K – $330K/yr
Role overview
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 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit brings people together around their interests, questions, and experiences. Our communities generate a rich and complex ecosystem of human activity, creating scientific challenges in understanding behavior, measuring impact, and anticipating change. The Data Science Platform team builds the tools that enable a scientific understanding of Reddit. We develop Reddit’s analytics agent, and the shared scientific capabilities and methods tha
…About this listing
- Source: Reddit's official careers site (via Greenhouse) · last confirmed on the source 3 Nov 2026
- Posted 3 Nov 2026
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What they are looking for
Skills & requirements
Qualification
A doctorate in Statistics, Economics, Computer Science, Applied Mathematics, Operations Research, or a related discipline; alternatively, a master’s degree supported by comparable depth of expertise. At least eight years of relevant industry work following a doctorate, or ten years with a master’s degree, in applied science, data science, scientific software development, or related roles. Deep knowledge of statistical inference and econometrics, with practical experience developing causal methods for observational data and evaluating the assumptions that make their conclusions credible. Experience developing and deploying forecasting systems, including time series modeling, temporal validation, prediction intervals, and assessment of performance as underlying conditions change. Strong software engineering skills, including substantial experience writing and maintaining production Python software. Familiarity with API design, automated testing, code review, version control, and operational monitoring. A demonstrated ability to critically assess scientific literature, reproduce relevant findings, and turn promising methods into reliable software that solves practical problems. Experi
Department · Data Science
Hiring company
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