• Apply data science, advanced analytics, and AI techniques to large, complex operational datasets to identify performance degradation, systemic issues, and improvement opportunities • Design and implement code-first analytical solutions and models that support automated or semi-automated discovery of performance improvement opportunities • Use AI and data-driven methods to evaluate, prioritize, and improve the effectiveness of Plans of Action and Milestones (POAMs) tied to contractual outcomes • Collaborate closely with performance analysts, engineers, and stakeholders to translate operational challenges into data-driven solutions • Apply appropriate AI and machine learning techniques, balancing innovation with explainability, defensibility, and stakeholder trust • Develop reusable analytical code, methods, and patterns that strengthen the team’s overall data science and AI capabilities • Communicate insights clearly to both technical and non-technical audiences, including program leadership • Support broader Navy performance initiatives by extending analytical methods beyond SLR-focused use cases when appropriate