VP, Data Science
Tasks
- Advise executives on data driven growth strategy
- Build data pipelines
- Build marketplace health models
- Build measurement frameworks
- Build personalization models
- Build segmentation models
- Create driver trees
- Define experimentation strategy
- Design experimentation infrastructure
- Develop LTV models
- Develop forecasting models
- Develop lifecycle models
- Develop pricing models
- Maintain metrics governance
- Measure incrementality
- Model marketplace dynamics
- Own executive dashboards
- Partner on model evaluation
- Perform causal inference
- Run A/B testing
Perks/Benefits
- Dental insurance
- Employee discounts
- Financial planning support
- Flexible vacation
- Generous parental leave
- Leave policies
- Medical insurance
- Mental wellbeing support
- Physical health support
- Remote work flexibility
- Retirement benefits
Skills/Tech-stack
A/B | A/B Testing | B testing | Causal Inference | Data Governance | Data Pipelines | Experiment design | Forecasting | LTV modeling | Looker | Machine Learning | Personalization | Python | SQL | Segmentation | Snowflake | Statistical modeling | Tableau
Education
N/A
Roles
Analytics | Analytics Leader | Data Science | Data Science Leader | VP | VP Data | VP, Data Science
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