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Data Scientist (Artificial Intelligence Risk)

U.S. Department of Defense (DOD)
Whitehall, Ohio, US$148k – $192kPosted March 6, 2026

Salary Context

This role offers $148k–$192k. The median for Mid-level risk roles is $107k–$143k (based on 26 listings). 36% above median.

Job Description

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: $147,945- $192,331
  • Columbus, OH: $154,378 - $197,200
  • Dayton, OH: $153,455- $197,200
  • Fort Belvoir, VA: $169,279 - $197,200
  • New Cumberland, PA: $169,279 - $197,200
  • Ogden, UT: $147,945- $192,331
  • Philadelphia, PA: $163,023- $197,200
  • Richmond, VA: $154,542- $197,200

Qualifications:To qualify for a Data Scientist (Artificial Intelligence Risk), 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. Or courses equivalent to a major field of study (30 semester hours)

AND

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-15 level, applicants must possess one year of specialized experience equivalent to the GS-14 level or equivalent under other pay systems in the Federal service, military, or private sector. Creditable specialized experience includes:

  • Implements AI guidance ensuring responsible AI for AI acquisition, development, and deployment within organizations.
  • Identifies methods, processes, algorithms, tools, and systems to extract and interpret varied structured and unstructured data sets findings related to the execution of data science and artificial intelligence program in developing and implementing responsible AI ethics reporting methods.
  • Provides implementation program oversight, advice, and recommendations in designing the implementation of responsible AI adoption strategy.

C. Education: Applicants may not qualify for this position based on education in lieu of specialized 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.

Education: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.Employment Type: OTHER

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