Data Scientist Intern- Master's Program (Hybrid: NJ, TX, or MO)
Core
Develop and evaluate predictive, machine learning, NLP, and generative AI solutions to address complex healthcare and business challenges.
Role type
Master's level data science intern
Builds
Enterprise capabilities, patented innovations, and scalable solutions for member outcomes and operational effectiveness
Domain
Healthcare analytics and business intelligence
Deliverable
production ML models
Required skills
Python or R, probability and statistics, data preparation and cleansing, regression, decision trees, clustering, machine learning, text mining, natural language processing
Preferred skills
SQL, Hive SQL, Spark, PySpark, Scala, Hadoop, HDFS, Tableau, Shiny, ggplot, Matplotlib, healthcare analytics, responsible AI
Technologies
Python, R, SQL, Spark, Tableau, Shiny, ggplot, Matplotlib
Responsibilities
Develop and evaluate predictive, machine learning, NLP, or generative AI solutions; Translate large, varied datasets into insights; Partner with data scientists, engineers, and clinical stakeholders to define problems and test ideas; Build clear, reproducible data pipelines, models, and visualizations; Communicate findings and recommendations to technical and nontechnical audiences; Apply a responsible, growth-oriented approach by seeking feedback and documenting methods
Seniority
Intern