Data Scientist Principal, AI Development and Governance
Core
Building trustworthy AI and machine learning capabilities for healthcare fraud, waste, and abuse detection, including establishing governance standards and deploying production models.
Role type
Principal Data Scientist (AI Development and Governance)
Builds
Production-ready ML models, responsible AI policies, and governance standards for healthcare claims analysis.
Domain
Healthcare / Machine Learning / AI Governance
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Machine learning model development and deployment, Generative AI evaluation, Model governance and risk management, Python, SQL, Feature engineering, Healthcare claims data analysis, Medical coding systems (ICD-10, CPT, HCPCS, DRG), Stakeholder communication
Preferred skills
Graph or network analytics, Entity resolution, Record linkage, AWS and Snowflake environments, Payer coverage policies knowledge, Generative AI tool piloting in regulated environments
Responsibilities
Establish modeling and validation standards for the Data Science team, Review data science models before production deployment, Develop and maintain responsible-AI and generative-AI policies, Build and deploy ML models for fraud detection, Validate models under class imbalance, Evaluate generative AI applications for feasibility and risk, Explain model methodologies to partners and auditors, Collaborate with distributed teams on governance and AI questions
Seniority
Principal, hands-on IC with strategy & mentorship
