Temporary Intern, Data Scientist
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Job Description
Data Science intern working on real healthcare data problems alongside experienced professionals at Cotiviti. Involves model evaluation, data wrangling, and deployment tasks.
Responsibilities:
- Build and evaluate classification or regression models using Python and standard ML libraries
- Engineer features from claims, clinical, or operational datasets
- Clean, transform, and profile datasets; document data-quality findings and assumptions
- Write SQL against relational databases to extract and shape analytical inputs
- 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
Requirements:
- Education: currently pursuing a Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related quantitative field
- Programming: hands-on experience with Python for data analysis — pandas, scikit-learn, matplotlib
- Core ML: solid understanding of classification, regression, train/test discipline, and model evaluation
- SQL: comfort writing queries against relational databases
- Project ownership: experience taking a project end-to-end — question, data, model, insight — through coursework, personal projects, or prior internships
- Communication: ability to explain technical work clearly to non-technical stakeholders
Benefits:
- Mentorship from experienced data scientists and engineers on a dedicated summer project
- Cohort programming
- Cross-functional networking
- Competitive intern compensation
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