Cotiviti is seeking a Data Science intern to join their analytics team for the summer. The intern will work on real healthcare data problems, contributing to predictive modeling, data analysis, and model deployment while gaining hands-on experience in healthcare analytics.
Responsibilities:
- Build and evaluate classification or regression models using Python and standard ML libraries
- Engineer features from claims, clinical, or operational datasets
- Measure model performance using AUC, log-loss, calibration, and other appropriate metrics
- Clean, transform, and profile datasets; document data-quality findings and assumptions
- Write SQL against relational databases to extract and shape analytical inputs
- Communicate findings through clear visualizations and written summaries
- Build lightweight APIs or endpoints to surface model outputs (e.g., FastAPI)
- Contribute to version-controlled, reproducible workflows using Git
- Document pipelines so teammates can extend and audit your work
- Assist with experiments at the intersection of ML and healthcare workflows
- Explore approaches such as adaptive fine-tuning or evaluation harnesses for LLM-based components
- Complete all responsibilities as outlined in the annual performance review and/or goal setting
- Complete all special projects and other duties as assigned
- Must be able to perform duties with or without reasonable accommodation