Senior AI & Data Scientist

Job Description:

• Architect end-to-end AI/ML solutions for complex healthcare challenges, including risk stratification, clinical decision support, autonomous chart review, and fraud detection
• Design and deliver production-grade machine learning systems processing millions of healthcare transactions
• Own the full ML lifecycle from experimentation and validation through deployment, monitoring, drift detection, and continuous improvement
• Establish instrumentation, observability, alerting, and feedback loops for production model performance and reliability
• Research and apply state-of-the-art deep learning, NLP/LLMs, computer vision, and causal inference methods
• Champion engineering best practices including code quality, testing, documentation, reusability, and maintainability
• Collaborate with Product, Clinical, Operations, and Compliance teams to identify high-value AI opportunities
• Translate technical concepts into business narratives for executive audiences and influence product and technology decisions
• Mentor data scientists through code reviews, architectural discussions, pair programming, presentations, and documentation
• Conduct technical interviews and model best practices in analytical rigor and problem-solving

Requirements:

• 5-8 years delivering production-grade data science or ML solutions with demonstrated business impact
• Proven track record architecting complex ML systems from research to production deployment
• Deep expertise in multiple ML domains and strong software engineering fundamentals
• Experience leading technical projects and mentoring data scientists
• PhD in Computer Science, Machine Learning, Statistics, or related field
• Continuous learning in ML/AI advancements, healthcare analytics, and software engineering practices
• Expert-level proficiency in Data Science methods, workflows, and best practices
• Advanced Machine Learning including ensemble methods, deep learning, NLP, LLMs, and computer vision
• Strong Statistical Analysis and experimental design capabilities
• Expert programming in Python, Java, SQL, or PySpark, emphasizing production-grade, maintainable code
• Advanced SQL and experience with high-volume, high-dimensional healthcare data
• Proficiency with Databricks, Spark, Delta Lake, MLflow, Unity Catalog, and cloud platforms
• Experience with Git workflows, CI/CD pipelines, Docker, and modern MLOps practices
• Deep understanding of healthcare data and Medicare Advantage operations
• Exceptional communication skills to translate technical complexity into business value
• Strong data visualization and storytelling capabilities
• Required licensure: None