Must possess three (3) years of experience (may be gained concurrently with above experience) in the following skills: Analyzing healthcare datasets, including EMR/EHR data, medical and pharmacy claims data, and Social Determinants of Health (SDoH) data; Performing data quality analysis to identify data quality issues, gaps, or inconsistencies; Building scalable AWS Airflow pipelines to ingest, integrate, and transform terabytes of data using Python and PySpark and AWS S3 storage, and accelerate business decision-making in AWS Sagemaker; Utilizing trend identification and data analysis methods such as regression analysis and outlier detection model in python, spark and sql. Building and implementing models, creating algorithms, and running simulations; Developing Tableau visualization and partnering with product owners and stakeholders to drive enterprise-level solutions that integrate data science into business workflows; Developing NLP, LLMs (extractive and generative), fine-tuning, and LLM model development.