Senior Manager, Product Data Science & Analytics
Tasks
- Champion best practices in experimentation causal inference and segmentation
- Define and operationalize product metrics
- Design experimentation and modeling approaches
- Drive OKR planning and execution
- Drive adoption of analytical frameworks and experimentation standards
- Identify and remove blockers to analytics delivery
- Influence cross functional stakeholders across product domains
- Lead and grow product data science team
- Leverage data platform and data engineering capabilities
- Partner with Product Engineering Marketing and Commercial leaders
- Review analytical and experimentation work
- Translate business problems into analytical problems
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | B testing | Causal Inference | Classification | Clustering | Data Products | Experimentation | Machine Learning | Multi-Arm Bandit | OKRs | Python | Regression | SQL | Segmentation | Statistical modeling
Education
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