Senior Data Scientist, Provider Network
Tasks
- Apply causal inference using Diff in Diff synthetic control and propensity score matching
- Build predictive models for provider growth
- Design and measure A/B experiments
- Develop LTV churn and survival models
- Ensure data quality in commercial tools like Salesforce
- Improve forecasting and data driven planning
- Translate marketplace insights into business recommendations
Perks/Benefits
- 401k match
- Cell phone reimbursement
- Commuter benefits
- Corporate Wellness
- Corporate wellness program
- Dental insurance
- Employee resource groups
- Flexible-hybrid work
- Great Place to Work certified
- Health insurance
- Paid parental leave
- Sabbatical Leave 5 Years
- Sabbatical leave
- Unlimited vacation
- Vision insurance
- Wellhub Wellness
Skills/Tech-stack
A/B | A/B Testing | B testing | Causal Inference | Customer Lifetime Value | Diff-in-diff | Experimentation | Lifetime Value | NumPy | Pandas | Propensity Score Matching | Propensity score | Python | SQL | Scikit-learn | Score Matching | StatsModels | Survival analysis | Synthetic control | Uplift Modeling
Education
Roles
Regions
Countries
States
Cities
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