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

Bachelor’s degree with 4+ years of experience applying data science, machine learning, or AI to real-world operational or performance problems (additional experience may be considered in lieu of degree)
Strong problem-framing skills and ability to operate effectively in ambiguous environments
Proficiency in Python or similar programming languages for data analysis and modeling
Experience working with large, messy, or heterogeneous datasets
Ability to clearly and defensibly explain complex analytical results
Demonstrated ability to collaborate effectively as part of a multidisciplinary team
Must be able to obtain and maintain a Secret clearance

Data Scientist – Applied AI, Performance Management

Key skills