Supervisory Data Scientist (AI/ML)

• Serves as the Branch Chief l responsible for leading enterprise artificial intelligence (AI) and analytics planning, requirements engineering, solution architecture, and value realization activities.

• Directs a multidisciplinary team of technical professionals, including solutions architects, data scientists, and cybersecurity engineers, to identify, evaluate, and prioritize AI and analytics initiatives aligned with organizational objectives.

• Oversees enterprise use case analysis, technical feasibility assessments, investment planning, and return-on-investment measurements for advanced technology capabilities.

• Provides authoritative technical leadership on AI, machine learning, cloud-based analytics platforms, data architecture, and digital transformation strategies

• Advises the Artificial Intelligence Officer (AIO) on technology investments, capability roadmaps, and enterprise modernization efforts to improve mission effectiveness, operational efficiency, and decision advantage

• Must be a U.S. citizen

• Tour of Duty: Set Schedule

• Security Requirements: Non-Critical Sensitive with Secret Access

• Appointment is subject to the completion of a favorable suitability or fitness determination, where reciprocity cannot be applied; unfavorably adjudicated background checks will be grounds for removal.

• Fair Labor Standards Act (FLSA): Exempt

• Selective Service Requirement: Males born after 12-31-59 must be registered or exempt from Selective Service.

• Recruitment Incentives: Not Authorized

• Bargaining Unit Status: No

• Pre-Employment Physical: Not Required

• Selectees are required to have a REAL ID or other acceptable identification documents to access certain federal facilities. See https://www.tsa.gov/real-id for more information.

• This position and any future selections from this announcement may be used to fill various shifts located anywhere within DLA Information Operations, J6.

To qualify for a Supervisory Data Scientist (AI/ML), your resume and supporting documentation must support:

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., Leads enterprise AI and analytics portfolio planning activities by translating strategic objectives into executable roadmaps, capability development plans, investment strategies, and implementation priorities.

• Establishes processes for evaluating, prioritizing, and sequencing AI and analytics initiatives based on mission impact, technical feasibility, organizational readiness prior to development, and return on investment (ROI).
• Directs the requirements engineering and solution analysis function for AI, machine learning (ML), Generative AI (GenAI), predictive analytics, and data-driven modernization efforts.
• Establishes technical standards, engineering practices, and architectural patterns supporting enterprise AI and analytics intake, framework selection, and architectural design., The Defense Logistics Agency (DLA) is committed to maintaining a safe, drug-free workplace. All DLA employees are required to refrain from illegal drug use on and off duty. DLA conducts pre-employment, reasonable suspicion, post-accident, and random drug testing.

B. Specialized Experience: One year of specialized experience that equipped you with the particular competencies to successfully perform the duties of the position and is directly in or related to this position. To qualify at the GS-14 level, applicants must possess one year of specialized experience equivalent to the GS-13 level or equivalent under other pay systems in the Federal service, military, or private sector. Applicants must meet eligibility requirements including time-in-grade (General Schedule (GS) positions only), time-after-competitive appointment, minimum qualifications, and any other regulatory requirements by the cut-off/closing date of the announcement. Creditable specialized experience includes, C. 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.

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.

Substitution of education may not be used in lieu of specialized experience for this grade level.

You MUST provide transcripts or other documentation to support your educational claims. Unless otherwise stated: Unofficial transcripts are acceptable at time of application.

GRADUATE EDUCATION: One academic year of graduate education is considered to be the number of credits hours that your graduate school has determined to represent one academic year of full-time study. Such study may have been performed on a full-time or part-time basis. If you cannot obtain your graduate school's definition of one year of graduate study, 18 semester hours (or 27 quarter hours) should be considered as satisfying the requirement for one year of full-time graduate study.

FOREIGN EDUCATION: If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show that the education credentials have been evaluated by a private organization that specializes in interpretation of foreign education programs and such education has been deemed equivalent to that gained in an accredited U.S. education program; or full credit has been given for the courses at a U.S. accredited college or university.

This position will close when it receives 100 applications which may be sooner than the close date.

As required by 5 C.F.R. § 302.106, DLA will provide Section 508 conformant ICT to employees with disabilities. All ICT interfaces with the public related to vacancy announcements and career transition opportunities must conform to the applicable requirements in the current ICT Standards and Guidelines (36 C.F.R. § 1194).