Data Scientist (Artificial Intelligence Risk)

Full 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 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. Major Duties:

• Responsible for DLA's Artificial Intelligence (AI) risk management, governance, and policy for the responsible, ethical, and safe use of AI.
• Serves as the implementation Responsible AI Administrator and principal advisor for DLA on the safe and responsible use of AI.
• Reports to the Artificial Intelligence Officer (AIO), in the Office of the Chief Data and Analytics Officer (OCDAO) and has the authority and responsibility for establishing the implementation, planning, and direction of internal AI risk management
• Collaborates and coordinates AI implementation program activities with the AIO in ensuring AI promotion, innovation, and risk management adhere to DLA AI governance
• Works alongside the AIO, CDAO, J6 Information Officer and DLA senior staff, and various DoD and governmental offices in advancing the DLA AI implementation program