Senior Staff Data Scientist, Consumer Relevance

The role

You will serve as a technical authority on relevance metrics and evaluation methodology for the Consumer team. You will partner with Feeds and Search ML teams to tackle ranking, recommendation, and retrieval challenges. You will also influence product strategy through analysis and experimentation.

What you will do

• Serve as the technical authority on relevance metrics and evaluation methodology across Consumer
• Develop metrics frameworks and offline evaluation approaches for ranking and recommendation systems
• Design and analyze experiments for relevance features
• Identify opportunities to unlock product insights through measurement and analysis
• Partner with ML engineers and product teams to translate model performance into user-facing impact
• Influence long-term product strategy for Feeds and Search
• Mentor and elevate other data scientists on relevance evaluation and experimentation
• Publish and share methodological advances internally and externally

Required qualifications

• Ph.D. in Statistics, Computer Science, Information Retrieval, Economics, or a related quantitative field with a focus on recommendation systems, ranking, causal inference, or evaluation methodology; o
• For M.S. holders: 12+ years of industry experience in applied science, data science, or relevance/ranking-focused roles
• For Ph.D. holders: 8+ years of industry experience in applied science, data science, or relevance/ranking-focused roles
• Deep expertise in metrics design and evaluation for ranking and recommendation systems
• Strong understanding of causal inference and experimentation methodology
• Experience defining and validating quality metrics for content ranking, search, or recommendations at scale
• Strong theoretical grounding in experimental design
• Expert knowledge of SQL
• Proficiency in R and/or Python for statistical computing
• Ability to influence product and organizational strategy through data-driven insights
• Excellent communication skills
• Experience mentoring data scientists

Nice to have

• Published research or industry contributions in areas recommendation systems or causal inference for ranking
• Experience with social network or user-generated content platforms

Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

Before you apply

• Interviews may be recorded, transcribed and summarized by artificial intelligence (AI)

About the company

Reddit is a community of communities built on shared interests, passion, and trust. It is one of the internet’s largest sources of information with approximately 130 million daily active unique visitors.