Data Scientist (AI Adoption Specialist)

Organization of the Joint Chiefs of Staff•Arlington, VA

About The Position

The Data Scientist (AI Adoption Specialist) supports the Organization of the Joint Chiefs of Staff, Joint Chiefs of Staff, by driving the strategic adoption, integration, and lifecycle management of artificial intelligence and machine learning (AI/ML) capabilities to advance the goals of the JS OCDAO. The position champions AI-enhanced data governance and leads the design, development, and implementation of enterprise AI solutions, intelligent data pipelines, and scalable models. At the GS-1560-13 level, the incumbent applies expert-level IT principles and AI/ML methodologies to enterprise data management and processing; advises on complex AI integration and modernization initiatives; interprets and adapts Department of War, CJCS, and Joint Staff policy to operational needs; and develops new AI/ML solutions and analytical methods for significant policy challenges. The role also establishes approaches for integrating AI-enabled capabilities and serves as a liaison to senior leaders and partner organizations. This is a full-time federal position. It is telework eligible, has a flexible tour of duty, and may involve occasional travel, overtime, and work outside normal duty hours, including weekends or holidays. The position requires a Special Sensitive (Top Secret/SCI) clearance and is subject to drug testing.

Requirements

Must be a U.S. citizen.
One year of specialized experience equivalent to the GS-12 grade level in the Federal service, including the experience described in the posting.
Meet the Individual Occupational Requirements for the 1560 series through a degree in mathematics, statistics, computer science, data science, or a directly related field, or a combination of 30 semester hours in an appropriate major field of study plus additional education or appropriate experience.
Must obtain and maintain a Special Sensitive (Top Secret/SCI) security clearance.
Must successfully complete an initial drug screening; random testing may follow.
Males born after December 31, 1959, must be registered for Selective Service or exempt.
Must be suitable for Federal employment, as determined by a background investigation.
May be required to successfully complete a probationary period.
Must provide transcripts; failure to do so will result in being rated ineligible.
Foreign education used to meet requirements must be evaluated as equivalent to accredited U.S. education or receive full credit from an accredited U.S. institution.
Must meet all qualifications and eligibility criteria by the announcement closing date.

Responsibilities

Apply expert-level IT principles and AI/ML methodologies to design, model, and optimize data management and processing across enterprise systems.
Lead and advise on complex, multi-million-dollar AI integration efforts as the technical subject matter expert for Joint Staff-wide modernization initiatives.
Interpret broad DoW, CJCS, and Joint Staff policy and adapt guidance to operational needs to accelerate AI adoption.
Develop AI/ML solutions and new analytical methods for complex, precedent-setting challenges and high-impact policy issues.
Establish techniques, criteria, and approaches for developing and integrating AI-enabled capabilities.
Serve as a key liaison to senior leaders across the Joint Staff, DoW, Combatant Commands, and interagency partners.
Lead, establish, and coordinate strategy, standards, governance, development, and implementation of enterprise AI/ML solutions, including LLM platforms.
Assess technical, operational, and architectural materials to inform AI/ML solution design and decision-making.
Optimize data systems for performance and scalability and use AI to automate compliance monitoring for federal IT, data, and privacy requirements.
Translate department-level AI policies into governance documents, technical standards, and templates for AI development, deployment, and interoperability.
Prepare and deliver information papers, correspondence, and briefings for senior leaders, communicating technical concepts and recommendations.