Staff Data Scientist, Ads

Position Overview

Reddit's Ads Data Science team is seeking a highly experienced Staff Data Scientist to enhance the intelligence of our two-sided ads marketplace. This role involves deep ownership of high-impact problem spaces within advertising, with a specialization in critical areas such as ad auctions, measurement, advertiser experience, performance optimization, or ad formats. This is a high-impact, high-autonomy position where you will influence strategic direction, set a high technical bar, and drive cross-functional initiatives across key focus areas within the Ads organization.

About Reddit

Reddit is a community of communities, built on shared interests, passion, and trust. It's home to the most open and authentic conversations on the internet, with over 100,000 active communities and approximately 101M+ daily active unique visitors. Advertising is Reddit's primary revenue driver, and we aim to build a highly differentiated ads business by leveraging our passionate communities.

About the Ads Data Science Team

The Ads Data Science team at Reddit utilizes data to maximize advertiser value through robust data foundations, metrics, and strategic insights derived from experimentation and advanced Data Science methods. We tackle challenging problems in ads targeting, relevance modeling, auction optimization, measurement, and user experience. We are a collaborative team of data scientists and engineers pushing the boundaries of machine learning and statistical modeling.

Responsibilities

• Drive Strategic Impact Across Ads Domains: Take end-to-end ownership of complex problem spaces such as auction optimization, auto-bidding, ad creative performance, personalization, and targeting.
• Develop Advanced Models and Frameworks: Build and deploy predictive models, optimization frameworks, and decision-support systems that power Reddit’s ad platform and marketplace health.
• Translate Ambiguity into Measurable Outcomes: Define core business and performance metrics, and design robust methodologies to measure the impact of product and modeling changes on advertiser ROI and user experience.
• Lead Through Cross-Functional and Technical Influence: Collaborate deeply with engineering, product, and sales to align on strategic goals, translate insights into action, and drive execution. Set a high technical bar by mentoring others and championing best practices across modeling, experimentation, and measurement.
• Drive Innovation in Ad Systems: Leverage causal inference, auction theory, and large-scale data systems to solve novel problems in a rapidly evolving ad marketplace.

Qualifications

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 in applied science, data science, or machine learning engineering roles.
• Demonstrated expertise in at least one of the following areas:
  • Auction Design & Optimization
  • Targeting, Personalization & Lookalike Modeling
  • Ads Creative & Format Evaluation
  • Measurement

Employment Type

• [Employment Type Not Specified]

Location

• US remote-friendly

Company Information

• Reddit
• For more information, visit redditinc.com.