From U.S. Government (USAJOBS)’s original posting
Organization of the Joint Chiefs of Staff, Joint Chiefs of Staff. The incumbent will focus on driving the strategic adoption, integration, and lifecycle management of artificial intelligence and machine learning (AI/ML) capabilities to achieve the specific goals of the JS OCDAO. The incumbent champions AI-enhanced data governance and leads the design, development, and implementation of enterprise AI solutions, intelligent data pipelines, and scalable models.
This position is being filled under Direct-Hire Auth (Certain DoD Personnel), PL 118-31, Sec 1250B(i)(2), 12/22/2023. As a Data Scientist (AI Adoption Specialist) at the GS-1560-13 some of your typical work assignments may include: Applies expert-level IT principles and AI/ML methodologies to design, model, and optimize data management and processing across enterprise systems. Leads and advises on complex, multi-million-dollar AI integration efforts, serving as the technical SME for Joint Staff-wide modernization initiatives. Interprets broad DoW, CJCS, and Joint Staff policy to accelerate AI adoption, applying advanced judgment to adapt guidance for operational needs. Develops innovative AI/ML solutions to address complex, precedent-setting challenges, creating new analytical methods for evaluating high-impact policy issues. Establishes new techniques, criteria, and approaches for developing and integrating AI-enabled capabilities, serving as a key liaison to senior leaders across Joint Staff, DoW, Combatant Commands, and interagency partners.
This position is being filled under Direct-Hire Auth (Certain DoD Personnel), PL 118-31, Sec 1250B(i)(2), 12/22/2023. You may qualify at the GS 13 , if you fulfill the following qualifications: A. One year of specialized experience equivalent to the GS 12 grade level in the Federal service as listed below: Leading, establishing, and coordinating the strategy, standards, governance, development, and implementation of enterprise AI/ML solutions-including LLM platforms-critical to enterprise digital modernization. Assessing and evaluating a wide range of technical, operational, and architectural materials to inform AI/ML solution design and decision-making. Ensuring data systems are optimized for performance and scalability while using AI to automate compliance monitoring with federal IT, data, and privacy requirements. Translating broad Department-level AI policies into precise governance documents, technical standards, and templates that guide AI development, deployment, and interoperability. Preparing and delivering senior-leader information papers, correspondence, and briefings, clearly communicating complex technical concepts and recommendations to support informed strategic decision-making. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. In addition to meeting qualifications, your application package must reflect the applicable experience to meet the Individual Occupational Requirements for the 1560, series as listed below: A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. or B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience. See: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1500/data-science-series-1560/ Additional vacancies may be filled from this announcement.
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