Staff Data Scientist
Tasks
- Build lifetime value models for healthcare reimbursements
- Build uplift models for causal churn intervention
- Design end to end data framework for unit economics
- Design pricing experiments and analyze price elasticity
- Detect model drift and manage production machine learning workflows
- Develop cross product attribution models
- Evaluate and validate predictive models using backtesting and cross validation
- Incorporate margin constraints into LTV calculations
- Influence CAC decision curve using LTV and margin frameworks
- Optimize basket composition and cross sell to maximize margin
- Predict reimbursement rates
- Run Monte Carlo macro simulations for business stress testing
Perks/Benefits
Skills/Tech-stack
Attribution Modeling | Backtesting | Causal Inference | Cross-validation | Diff-in-diff | Drift Detection | Generative AI | Language Models | Large Language Models | Machine Learning | Markov Models | Model Drift | Model Drift Detection | Monte Carlo | Monte Carlo Simulation | Propensity Score Matching | Propensity score | Python | SQL | Score Matching | Survival analysis | Synthetic controls | Uplift Modeling
Education
Regions
Countries
States
Cities
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