• Leads and manages the entire lifecycle of data science projects • Collaborates with cross-functional teams to define project scope, objectives, and success metrics • Ensures projects align with organizational goals and deliver measurable impact on healthcare outcomes • Leverages deep understanding of machine learning algorithms to build sophisticated predictive models • Utilizes clustering, dimension reduction, and deep generative models to uncover hidden patterns • Applies rigorous validation techniques to ensure model accuracy, reliability, and fairness • Oversees the deployment of models into production environments • Extracts insights from clinical and operational data sources to inform decision-making • Translates complex technical findings into compelling narratives for non-technical stakeholders • Facilitates data-driven decision-making by communicating the value and impact of AI models • Mentors and guide junior data scientists • Promotes collaboration, knowledge sharing, and continuous learning • Contributes to developing best practices and standards for data science