AI/ML Engineer & Data Management Specialist

Responsibilities

• Effectively and efficiently operate and communicate across multi-level security environments.
• Cook up, clean, and integrate technical and programmatic data from multiple program and project offices.
• Work closely with data management specialists to structure, maintain, and ensure the integrity of large, complex, multi-source datasets.
• Apply artificial intelligence and machine learning models (e.g., CAPRA, GenAI) to support gap analyses, business case analyses, and readiness assessments.
• Develop and refine prompts to optimize the performance and relevance of AI-generated outputs for project needs.
• Build, validate, and interpret predictive models to assess LO sustainment performance, forecast readiness trends, and identify capability or resource gaps.
• Manage, maintain, and optimize relational and/or non-relational databases to ensure data availability, reliability, and performance.
• Create clear, concise data visualizations, summaries, and technical reports to communicate findings to engineers, logisticians, and leadership.
• Ensure all data management and analysis activities comply with DoD/NAVAIR security, privacy, and regulatory requirements, including access controls and audit trails.

Qualifications

• Accredited BA or BS degree relevant to data science, analytics, data management, or information technology.
• At least three (3) years of recent and relevant experience in data science, analytics, or data management.
• Demonstrated experience delivering results in multi-level security environments.
• Experience in data analysis, predictive modeling, or applied statistics in a technical or programmatic setting.
• Hands-on experience utilizing artificial intelligence and machine learning models, including prompt engineering for GenAI or similar tools.
• Ability to organize, clean, and maintain large, multi-source datasets and ensure high data integrity.
• Proficiency in data integration and Extract-Transform-Load (ETL) processes, including data migration between systems.
• Ability to create clear, concise, and actionable data visualizations using tools such as Tableau, Power BI, or similar tools.
• Familiarity with data security, privacy, and compliance requirements in DoD or government environments.
• Strong interpersonal and communication skills for working with multi-disciplinary teams, including engineers, logisticians, program managers, and data specialists.