Sr. Healthcare Data Scientist (Medicare/Medicaid)

Tasks

• Analyze Medicare and Medicaid claims data for fraud waste and abuse
• Apply large scale CMS data with machine learning and LLMs
• Build predictive models and anomaly detection models
• Create data visualizations for insights and trends
• Develop generative AI solutions and agent systems for fraud detection
• Perform feature engineering model validation and evaluation
• Present recommendations to technical and non technical stakeholders

Perks/Benefits

• 401k matching
• Dental insurance
• Flexible work arrangements
• Fully remote
• Health insurance
• Paid parental leave
• Paid sick leave
• Paid vacation
• Vision insurance

Skills/Tech-stack

Anomaly Detection | Apache Spark | Databricks | Embeddings | Feature Engineering | Generative AI | Ggplot | Hugging Face | Hugging Face Transformers | Langchain | Langgraph | Language Models | Large Language Models | Machine Learning | Matplotlib | NumPy | Pandas | Python | R | Retrieval-Augmented Generation | SQL | Scikit-learn | Seaborn | Snowflake | Statistical modeling | TensorFlow | Vector Databases