Supervisory Data Scientist; AI​/ML

Summary

See below for important information regarding this job.

• 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

• Serves as the Branch Chief 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; 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  other acceptable identification documents to access certain federal facilities.
• This position and any future selections may be used to fill various shifts located anywhere within DLA Information Operations, J6.

• Degree: Mathematics, statistics, computer science, data science, or a related field. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
• Specialized
  
  Experience:
  
  One year of specialized experience that equips you with the competencies to perform the duties of the position. For 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.
• 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.
• Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) plus additional education or appropriate 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. Unofficial transcripts are acceptable at the time of application.

Graduate

Education:

One academic year of graduate education is considered to be the number of credit hours your graduate school has determined to represent one academic year of full‑time study. If you cannot obtain your graduate school's definition, 18 semester hours…