Senior Data Scientist, Ads
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.
What this role actually needs.
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. Responsibilities: - Design, develop, and apply DS solutions to inform improvements in advertiser experience and Reddit's ad platform - Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform - Collaborate with product managers and engineers to define product requirements and translate them into data science solutions - Develop ML models & DS methods to improve anomaly detection, prediction, & pattern recognition - Communicate findings and recommendations to stakeholders across the organization - Stay up-to-date on the latest advancements in machine learning and data science Requirements: - Develop ML models & DS methods to improve anomaly detection, prediction, & pattern recognition - Communicate findings and recommendations to stakeholders across the organization - Stay up-to-date on the latest advancements in machine learning and data science - Mentor and guide junior data scientists on the team - Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research - For M.S. holders: 5+ years of industry experience in applied science or data science roles Benefits: - Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support - Family Planning Support - Gender-Affirming Care - Mental Health & Coaching Benefits - Comprehensive Medical Benefits & Health Care Spending Account - Registered Retirement Savings Plan with matching contributions Company context: Reddit builds large-scale consumer, ads, and platform systems with hiring across mobile, backend, machine learning, and product engineering.
Day-to-day expectations
Reddit lists these responsibilities for the Senior Data Scientist, Ads role.
- Design, develop, and apply DS solutions to inform improvements in advertiser experience and Reddit's ad platform
- Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform
- Collaborate with product managers and engineers to define product requirements and translate them into data science solutions
- Develop ML models & DS methods to improve anomaly detection, prediction, & pattern recognition
- Communicate findings and recommendations to stakeholders across the organization
- Stay up-to-date on the latest advancements in machine learning and data science
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- Develop ML models & DS methods to improve anomaly detection, prediction, & pattern recognition
- Communicate findings and recommendations to stakeholders across the organization
- Stay up-to-date on the latest advancements in machine learning and data science
- Mentor and guide junior data scientists on the team
- Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research
- For M.S. holders: 5+ years of industry experience in applied science or data science roles
Why people would want this job
Reddit published these compensation, benefits, or working-context details with the role.
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
- Comprehensive Medical Benefits & Health Care Spending Account
- Registered Retirement Savings Plan with matching contributions
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Senior Data Scientist, Ads is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.
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Source: job-boards.greenhouse.io · Source ID: 7607121 · Confidence: 90/100 · Last checked: May 7, 2026
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