Summary You will serve as a SUPERVISORY DATA SCIENTIST at the headquarters of Commander, US Fleet Analytics Office (N02D) located at COMMANDER US FLEET FORCES COMMAND. Responsibilities You will have overall responsibility for the technical and administrative management of all functions and personnel assigned to the Division. You will serve as the principal strategic advisor for data/AI to the Fleet Commander for USFF HQ and all subordinates across the Fleet. You will serve as the recognized expert, acting as the Command's premier executive advocate for strategic data and AI initiatives. You will represent USFFC at executive-level (O6/GS-15 and SES/Flag Officer) steering boards, data councils, and resource summits across the Department of War. You will navigate highly complex, multi-echelon environments and leads engagements with operational and data leaders within the staffs of the Secretary of the Navy and the Chief of Naval Operations, at peer Fleet commands, USFFC directorates. You will develop, execute, and maintain the USFFC Data and AI Strategy as a formal, dynamic orchestration tool. You will review and audit TYCOM policies/strategies to enforce alignment with DoW, DoN, and USFF data and AI policies/strategies. You will oversee the program by identifying needs throughout the data cycle (collection, transport, access, development, test, and delivery). You will lead the conceptualization of highly complex solutions, orchestrating the professional experience of experts across the depth and breadth of the Navy. You will lead high-level engagements with industry executives, academia, warfare centers, and coalition partners to resolve highly complex integration problems not solved with traditional methods. You will provide authoritative advice to senior leadership, applying new developments and experimental theories to maintain a decisive, longterm strategic advantage for the Fleet. Requirements Conditions of Employment Qualifications Basic Requirements: 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 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. In addition to the Basic Requirements for this position, your resume must also demonstrate at least one year of specialized experience at or equivalent to the GS-14 grade level or pay band in the Federal service or equivalent experience in the private or public sector. Specialized experience must demonstrate the following: Experience applying advanced analytical techniques to fleet readiness and business operations data. Experience applying advanced data science, analytics, artificial intelligence, and machine learning principles and practices. Experience translating complex data results into clear written reports, tables, graphs, charts, and visualizations. Experience aggregating data from internal and external sources, ensuring data quality, and preparing data for analysis. Experience designing and implementing data ingestion and preparation techniques to support analytics and data science projects. Additional qualification information can be found from the following Office of Personnel Management website: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/#url=List-by-Occupational-Series Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (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. Education Applicants must meet the following positive education qualifications requirements of the Office of Personnel Management (OPM) Qualifications Standards Manual: Applicants must possess Basic Requirements: 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 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. Additional Information This position is covered by the Department of Defense Priority Placement Program. Additional vacancies may be filled by this announcement. A tentative offer of employment will be rescinded if the selectee fails to meet the pre-employment requirements, including failure to report to any of the scheduled appointments. During the application process you will have the ability to opt-in to make your resume available to hiring managers in the agency who have similar positions in the local commuting area. Depending on the hiring organization and the position being filled, job requirements (e.g., security clearance, travel, drug testing, financial disclosure filing, bargaining unit status, etc.) may vary. Other hiring managers filling similar positions may offer relocation expense reimbursement and/or may offer recruitment incentives for new employees, depending on funding availability and in accordance with policy. If you opt-in and are referred on a certificate, your resume will be available to other hiring managers for 180-days from the date the job announcement closes. Opting in does not impact your application for this announcement, nor does it guarantee further consideration for additional positions. Federal annuitant information: The selection of an annuitant is subject to the Department of Defense and Department of the Navy policy on the employment of annuitants. Policy information may be found at: http://www.secnav.navy.mil/donhr/Documents/CivilianJobs/FedCivAnnuitants.pdf PPP applicants will be placed at the FPL, if determined Well Qualified (WQ). To receive priority consideration, the FPL must be the same grade level or equivalent of the retained grade or the grade held immediately prior to separation. ICTAP Applicants: To be considered well-qualified and exercise selection priority as an ICTAP candidate, displaced Federal employees must satisfy all qualification requirements for the position and receive a rating in the highly qualified category (score 85) or higher. ICTAP candidates must provide copies of all of the following documentation at the time of application: 1) agency notice; 2) most recent performance appraisal; and 3) most recent SF-50 or notification of personnel action that includes position, grade level, and duty location. Applicants who do not provide this documentation will not receive consideration as an ICTAP candidate. For more information about ICTAP eligibility please review the following link: https://www.usajobs.gov/Help/working-in-government/unique-hiring-paths/federal-employees/career-transition/ Military Spouse Preference applicants will be placed at the highest grade for which they have applied and are determined Best Qualified (BQ). A BQ military spouse possesses knowledge, skills, abilities, and competencies comparable to others who meet the competitive referral criteria for the specific position.