Senior Staff Data Scientist - Consumer Relevance
Tasks
- Analyze experiments for ranking feature impacts
- Conduct causal inference and counterfactual evaluation
- Define and validate quality metrics at scale
- Design and analyze ranking and recommendation experiments
- Develop offline evaluation and proxy metrics
- Lead relevance metric design and evaluation methodology
- Mentor data scientists on experimentation and statistical rigor
- Publish relevance evaluation research and best practices
- Translate model performance metrics into user impact
Perks/Benefits
- 401k employer match
- Caregiving support
- Comprehensive healthcare
- Family planning support
- Flexible vacation
- Gender-affirming care
- Global benefits
- Income replacement programs
- Mental health coaching
- Paid parental leave
- Paid volunteer time off
- Professional development
Skills/Tech-stack
Causal Inference | Counterfactual evaluation | Experimental Design | Offline evaluation | Power analysis | Python | R | Ranking Systems | Recommendation Systems | SQL | Sequential testing | Statistical computing | Variance reduction
Education
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