- South America
Develop, evaluate, and maintain predictive models for a healthcare and pharmacy-finance platform.
Responsibilities
- Develop and evaluate models using XGBoost, LightGBM, and CatBoost for risk scoring, classification, and related decision support.
- Compare ML performance against deterministic rules and historical benchmarks to establish whether predictive models deliver meaningful improvements.
- Detect changes in input distributions, prediction behavior, and model accuracy, with alerts when performance falls below defined thresholds.
- Build feedback loops incorporating newly available outcome data, with appropriate retraining and validation procedures.
- Identify and prevent target leakage, temporal leakage, proxy leakage, and unintended bias in model features.
Requirements
- Nice to have: healthcare
- Nice to have: pharmacy
- Nice to have: financial risk
- Nice to have: credit scoring
- Nice to have: claims analytics