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r sql python experimentation ranking📋 Description
- Be the technical authority on relevance metrics and evaluation for Consumer.
- Develop offline metrics and evaluation for ranking and recommendations.
- Design experiments for relevance features, addressing spillover and interference.
- Identify opportunities where measurement unlocks product insights.
- Collaborate with ML engineers to translate model metrics into user impact.
- Influence long-term Feeds/Search strategy through data-driven insights.
🎯 Requirements
- Ph.D. in Statistics, CS, IR, Economics, or related field; MS with equivalent depth.
- MS holders: 12+ years; PhD holders: 8+ years of industry relevance experience.
- Deep expertise in metrics design and evaluation for ranking/recommendation systems.
- Strong understanding of causal inference and experimentation methodology.
- Expert knowledge of SQL and proficiency in R and/or Python.
- Excellent communication and ability to influence product strategy; mentoring.
🎁 Benefits
- Comprehensive Healthcare Benefits and Income Replacement Programs
- 401k with Employer Match
- 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
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