Senior Data Scientist
Tasks
- Conduct code and methods reviews
- Create reports and presentations for stakeholders
- Design and execute causal analyses
- Develop validate and deploy predictive and causal models
- Estimate effects of medications and interventions
- Partner with clinicians to define causal estimands
- Translate findings into clinical and operational decisions
Perks/Benefits
- N/A
Skills/Tech-stack
Bias Mitigation | Causal Inference | Causal Machine Learning | Causal forests | Claims data | Confounding control | Difference-in-differences | Double Machine Learning | EHR | Generalizability | Healthcare Claims | Healthcare Claims Data | Instrumental Variables | Inverse probability weighting | Likelihood estimation | Longitudinal analysis | Machine Learning | Marginal structural models | Maximum likelihood estimation | Meta Learning | NumPy | Pandas | Propensity score | Python | R | Regression discontinuity | SQL | Scikit-learn | Structural models | Survival analysis | TMLE | Target trial emulation | Targeted Maximum Likelihood Estimation | Trial Emulation
Education
Roles
Regions
Countries
States
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