Staff Data Scientist, Ads

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 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. Requirements: • 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. Benefits: • Comprehensive Healthcare Benefits • 401k Matching • Workspace benefits for your home office • Personal & Professional development funds • Family Planning Support • Flexible Vacation (please use them!) & Reddit Global Wellness Days • 4+ months paid Parental Leave • Paid Volunteer time off Apply tot his job Apply To this Job