Healthcare Data Scientist
Job Description
REQUIREMENTS
- Bachelor’s degree with an analytical or technical focus (Statistics, Computer Science, Engineering, Applied Mathematics, etc.)
- At least 2 years of experience in Data Science
- Experience analyzing data, preferably healthcare or claims data
- Familiarity with Python or R for data analysis and machine learning
- Experience with common data science libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, or Seaborn.
- Exposure to generative AI or modern machine learning frameworks (e.g., Hugging Face Transformers, LangChain, embeddings, vector databases)
- Familiarity with SQL and cloud data tools such as Databricks, Snowflake, or Spark is a plus.
- Understanding of basic statistics and foundational ML concepts such as feature engineering, train/test splits, and evaluation metrics.
- Ability to create and interpret data visualizations.
RESPONSIBILITES
- Supporting analytical tasks across data science, machine learning, and generative‑AI projects.
- Assisting with the analysis of Medicare and Medicaid claims data using statistical methods and supervised/unsupervised learning techniques.
- Helping develop components of generative‑AI solutions, including prompt pipelines, simple agents, embedding workflows, or retrieval‑augmented systems.
- Contributing to predictive modeling, anomaly detection, and other program‑integrity analytics.
- Building and maintaining clean datasets using Python and SQL-based tools.
- Creating clear visualizations to present trends, patterns, and model insights.
- Documenting work and communicating findings with team members and partners.
- Performing additional duties as assigned.
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