VP, Data Science
Tasks
- Advise leadership on data driven growth strategy
- Apply causal inference
- Build cross side marketplace measurement frameworks
- Build scalable end to end data pipelines
- Define experimentation strategy
- Design experimentation infrastructure with data engineering
- Develop LTV and marketplace health models
- Develop performance diagnostics
- Enable self-serve analytics
- Ensure rigorous A B testing
- Evaluate models and measure business impact
- Improve forecasting and driver trees
- Lead applied data science for personalization
- Maintain trusted metrics layer
- Measure incrementality
- Own executive dashboards and reporting
- Own experimentation outcomes
Perks/Benefits
- Dental insurance
- Financial planning
- Flexible vacation
- Fully remote
- Generous parental leave
- Leave policies
- Medical insurance
- Mental wellbeing support
- Physical health support
- Retirement benefits
Skills/Tech-stack
A/B | A/B Testing | B testing | Causal Inference | Data Pipelines | Data analytics | Driver tree | Experimentation | Forecasting | Incrementality | LTV modeling | Looker | Machine Learning | Metrics governance | Personalization | SQL | Snowflake | Statistical modeling | Tableau
Education
N/A
Roles
Data Science | Director | Director of Data | Director of Data Science | Head | Head of Data | Head of Data Science | VP | VP Data | VP, Data Science
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