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Job opening: Data Scientist (Artificial Intelligence Risk)

Salary: $143 736 - 191 900 per year
Published at: May 31 2024
Employment Type: Full-time
See below for important information regarding this job.

Duties

Serves as the J-6D AI risk management DLA technical lead ensures responsible AI is strategically operational within DLA and adheres to Office of Management and Budget (OMB), Presidential Executive Orders (EOs), legislation, laws, and regulations. Implements DLA and DoD AI guidance ensuring responsible AI for AI acquisition, development, and deployment within DLA organizations. Evaluates algorithms and tools to support AI data manipulation, processing, and application of fact-finding and investigative techniques in establishing and executing implementation procedures for planning, coordination, ... ... monitoring, and ensuring inclusion of DLA customers' requirements for mission objectives. Serves as the authoritative subject matter expert (SME) for decisions and guidance dealing with compromises and changes in implementation program philosophy, focus or objectives. Directs and monitors effective resource utilization consistent with established budgets and recommends or initiates action to align resources. Continuously assesses and analyzes program requirements to include plans, designs, and evolving developments. Determines gaps in DLA's AI risk management and responsible AI program areas and develops corrective action plans and applies forward thinking leadership in promoting and implementing a vision that fosters advancement and excellence. Coordinates and integrates AI into strategic planning initiatives and program requirements with management. Prepares and provides briefings to senior leadership within the Agency and to external audiences, as required. Leads the short- and long-range AI capability development and collaborates with and leads the team in identifying and assessing risk throughout the AI development cycle. Interprets and assesses impact of responsible AI policy, law, regulations on AI strategic and operational planning. Provides guidance on how and when responsible AI tools are used in the AI product lifecycle. Identifies and addresses AI implementation roadblocks and ensures the safety and mitigates the risk of any DLA AI tools, models, and capabilities. Delineates program offices' responsibilities and authority in monitoring solution performance. Keeps AIO, senior leaders, and DLA AI users and working groups apprised of impact to program areas.

Requirements

  • Must be a U.S. citizen
  • Tour of Duty: Set Schedule
  • Security Requirements: Critical Sensitive with Top 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

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. 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: - 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 ensuring the agency's organizations follow ethical AI principles. - Provides implementation program oversight, advice, and recommendations in designing the implementation of responsible AI adoption strategy, measuring, reporting, and communicating results through senior leaders. - Collaborates and coordinates AI implementation program activities with the AIO in ensuring AI promotion, innovation, and risk management adhere to the agency's AI governance, ethics, reporting, and inventory requirements. - Recommends significant strategic program and policy issues and is responsible for management of all Plan of Action and Milestones (POAMs) and keeping implementation efforts on schedule and synchronized across the organization. - Develops or updates policy, procedures, and processes to measure, monitor, and evaluate the ongoing performance of AI applications and whether they are achieving their intended objectives. 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.

Education


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

Are you using your education to qualify? 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.

Contacts

  • Address DLA Information Operations J6 8725 John J Kingman Rd Ft Belvoir, VA 22060-6221 US
  • Name: Tyrone Hayes
  • Phone: 717-770-2945
  • Email: [email protected]