Sr. Healthcare Data Scientist (Medicare/Medicaid)

Tasks

• Analyze Medicare and Medicaid claims data for fraud waste and abuse
• Build predictive and anomaly detection models
• Create retrieval augmented generation pipelines for healthcare data
• Develop generative AI solutions and agent systems for fraud detection
• Generate data visualizations for stakeholders
• Perform feature engineering attribute selection and model validation
• Present analytical results and recommendations to technical and non technical stakeholders

Perks/Benefits

• 401k matching
• Dental insurance
• Flexible work arrangements
• Fully remote
• Health insurance
• Life insurance
• Limited travel
• Long-term disability
• Paid Holidays
• Paid family leave
• Paid parental leave
• Paid personal leave
• Paid sick leave
• Paid vacation
• Short-term disability
• Vision insurance

Skills/Tech-stack

Anomaly Detection | Apache Spark | Databricks | Feature Engineering | Hugging Face | Hugging Face Transformers | LLM orchestration | Langchain | Langgraph | Machine Learning | Matplotlib | NumPy | Pandas | Predictive Modeling | Python | R | Retrieval-Augmented Generation | SQL | Scikit-learn | Seaborn | Snowflake | TensorFlow | Vector Databases