Senior Staff Data Scientist - Consumer Relevance
Tasks
- Account for network effects
- Account for ranking biases
- Account for spillovers
- Build metrics systems
- Define relevance metrics
- Design and analyze experiments
- Design offline evaluation frameworks
- Design online evaluation frameworks
- Guide product strategy with analytics
- Improve measurement frameworks
- Mentor data scientists in causal inference
- Mentor data scientists in experimentation design
- Mentor data scientists in relevance evaluation
- Translate model performance into product impact
Perks/Benefits
- Coaching support
- Family planning benefits
- Flexible vacation policy
- Gender Affirming Care Benefits
- Global benefits package
- Health spending accounts
- Income protection
- Medical, dental & vision coverage
- Mental health support
- Paid parental leave
- Paid volunteer time off
- Retirement savings plan with employer match
- Wellbeing programs
Skills/Tech-stack
Causal Inference | Counterfactual evaluation | Experimental Design | Experimentation | Metrics design | Python | R | Ranking Evaluation | Recommendation Systems | SQL | Search evaluation | Statistical Analysis
Education
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