SUPERVISORY DATA SCIENTIST

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.

Duties

• 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.

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.