Data Scientist (AI)
Defense Logistics Agency
Posted: March 6, 2026 (0 days ago)
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Defense Logistics Agency
Department of Defense
Location
Salary
$125,776 - $187,093
per year
Type
Full-Time
More IT & Technology jobs →Closes
Base salary range: $104,604 - $135,987
Typical requirements: 1 year specialized experience at GS-13. Senior expert or supervisor.
Note: Actual salary includes locality pay (15-40%+ depending on location).
This job is for an expert who designs and builds AI systems to help the Defense Logistics Agency solve big operational challenges, like improving decision-making and readiness for military needs.
It involves creating secure, scalable AI blueprints that work across different tech environments, from on-site servers to cloud setups.
A good fit would be someone with years of hands-on experience leading AI projects in high-stakes settings, such as government or defense, who thrives on turning business goals into technical solutions.
See below for important information regarding this job. Position will be filled at any of the locations listed below.
Site specific salary information as follows: Battle Creek, MI: $125,776- $163,514 Columbus, OH: $131,245- $170,624 Dayton, OH: $130,461 - $169,604 Fort Belvoir, VA: $143,913- $187,093 New Cumberland, PA: $143,913- $187,093 Ogden, UT: $125,776- $163,514 Philadelphia, PA: $138,595- $180,178 Richmond, VA: $131,385- $170,806 To qualify for an IT Specialist your resume and supporting documentation must support: A.
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: - Lead the creation of AI architecture blueprints that define how AI/ML capabilities are integrated into the enterprise technology stack, ensuring scalability, security, interoperability, and alignment with RAI principles.
- Conducting comprehensive architectural assessments, analyzing mission and business requirements, and translating them into detailed technical designs for deployment across on-premises, cloud, and hybrid environments.
- Designs and governs machine learning operations (MLOps) frameworks that embed automation, testing, security, and governance into the AI lifecycle, enabling rapid, reliable, and compliant delivery of AI-enabled capabilities.
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. Major Duties:
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