Overview: Our healthcare client is seeking a Senior Data Scientist with deep expertise in SQL, Python, Generative AI, and Machine Learning to join their growing data team. This role will play a critical part in transforming healthcare data into actionable insights, powering smarter decisions across clinical operations, population health, and patient engagement initiatives. Responsibilities: • Design, develop, and deploy ML models to support predictive analytics, risk scoring, and personalized patient care. • Build scalable ETL pipelines using SQL and Python to process large healthcare datasets (EHR, claims, lab data, etc.). • Lead initiatives in Generative AI (e.g., LLMs, NLP) to drive innovation in patient communications, documentation, and clinical summarization. • Partner with stakeholders to define data science use cases and present complex findings in a clear, actionable manner. • Mentor junior team members and contribute to model governance and deployment best practices. Requirements: • 5+ years of professional experience in data science or advanced analytics, ideally in the healthcare or life sciences space. • Expert in SQL and Python for data wrangling, modeling, and automation. • Strong background in machine learning frameworks (e.g., Scikit-learn, TensorFlow, XGBoost). • Hands-on experience applying Generative AI / LLMs to real-world problems. • Familiarity with healthcare data types (e.g., HL7, FHIR, ICD codes, CPT codes) is a plus. • Experience working in cloud environments (e.g., AWS, Azure, GCP) preferred. • Advanced degree in Data Science, Computer Science, Statistics, or related field. Nice to Have: • Knowledge of HIPAA and healthcare regulatory compliance. • Experience with MLOps tools (e.g., MLflow, SageMaker). • Exposure to clinical decision support systems or digital health platforms. Why Join? • Mission-driven work impacting real patient outcomes • Collaborative, innovative team environment • Opportunities to lead and influence next-gen GenAI and ML solutions in healthcare