Must be local to Montgomery County, Maryland; preferably a recently graduated individual
On-site 3 days per week in Rockville, MD
Potential for full-time employment upon successful completion of the internship
Help team collect, clean, analyze, and visualize data to find insights, often using Python/R, SQL, and ML tools to solve business problems like churn or fraud, working on tasks from exploratory analysis and building dashboards to testing models, all while learning industry standards and software engineering basics. The specific duties vary greatly, from data engineering (pipelines) to core machine learning, depending on the company's needs.
Required Skills
Experience with statistical modeling including logistic regression, Cox regression, and survival analysis
Experience with Monte Carlo simulation techniques
Experience building machine learning pipelines using tools such as scikit learn, TensorFlow, or PyTorch
Strong understanding of feature engineering for healthcare data including lab values, BMI, and comorbidities
Role and responsibilities:
Build and refine prediction models
Design and run Monte Carlo simulations for population level risk analysis
Validate model outputs and support performance tuning based on results
Key Skills & Tools Used
Programming: Python (Pandas, Scikit-learn, TensorFlow) or R.
Databases: SQL.
Concepts: Statistics, Machine Learning fundamentals, Software Engineering basics.
Tools: Data visualization software, potentially big data platforms (Databricks).
Pay: From $20.00 per hour
Work Location: In person
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