Staff Data Scientist, Ads

Remote, USA • Full-time • Posted 2026-05-04

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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 101M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information.
Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We’re completely remote friendly and will continue to be after the pandemic.
Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business.
Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities.
We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.
The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods.
We work on a wide range of challenging problems in the areas of ads targeting, relevance modeling, auction optimization, measurement, and user experience.
We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.
Reddit’s Ads Data Science team is looking for a highly experienced Staff Data Scientist to advance the intelligence powering our two-sided ads marketplace.
In this role, you'll take deep ownership of a high-impact problem space within advertising, specializing in a critical area such as ad auctions, measurement, advertiser experience, performance optimization, ad formats, etc.
This is a high-impact, high-autonomy role where you'll influence strategic direction, set a high technical bar, and drive cross-functional initiatives across one or more critical focus areas in the Ads organization.

Required:
Master's or Ph.D. in Statistics, Computer Science, Economics, Operations Research, or a related quantitative discipline.
For M.S. holders: 10+ years of industry experience in applied science, data science, or machine learning engineering roles
For Ph.D. holders: 6+ years of relevant experience applied science, data science, or machine learning engineering roles
Demonstrated expertise in at least one of the following:
Auction Design & Optimization
Targeting, Personalization & Lookalike Modeling
Ads Creative & Format Evaluation
Measurement & Experimentation at Scale
Advanced proficiency in statistical programming (Python or R) and SQL.
Experience with machine learning or optimization techniques
Strong understanding of experimental design, causal inference, or A/B testing methodologies.
Exceptional problem-solving and communication skills, with a track record of influencing product and engineering partners.
Experience working in fast-paced, ambiguous environments with cross-functional teams.