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 Now
Apply Now
• 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 Now
Apply Now