Summary This is a public notice flyer to notify interested applicants of anticipated vacancies. Applications will not be accepted through this flyer. Interested applicants must follow the directions in the "How to Apply" section of this flyer to be considered. There may or may not be actual vacancies filled from this flyer. Notice of Result letters will not be sent to applicants who respond to this flyer. Responsibilities You will be responsible for applying knowledge of math, science, and engineering methodology and practices to solve a variety of component level through system of system level technical problems. You will lead research, design, development, test and deployment activities for Command, Control, Computers, Communication, Intelligence, Surveillance, and Reconnaissance (C4ISR) and Business Information Technology (IT) systems and capabilities. You will assist NIWC Atlantic and its customers construct AI programs, establish and grow partnerships, and gain awareness of other data solutions. You will implement Data Science and Machine Learning/Artificial Intelligence concepts and algorithms to ensure data-centric problems are solved effectively and efficiently. Requirements Conditions of Employment Qualifications Your resume must also demonstrate at least one year of specialized experience at or equivalent to the GS-11 grade level or pay band in the Federal service or equivalent experience in the private or public sector. Specialized experience must demonstrate the following: Lead and develop strategies for the integration of Artificial Intelligence (AI) to include Machine Learning (ML) in projects across intelligence, business, readiness and defense domains. 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/1500/data-science-series-1560/ 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 Data Science Series 1560 Qualifications Standard for Data Science Series, 1560 Associated Group Standard Use the Group Coverage Qualification Standard for Professional and Scientific Positions for this series in conjunction with the Individual Occupational Requirements described below. 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 in the Science & Technology Reinvention Laboratory (STRL) Human Resource Management System pay band for Department of Defense laboratories. The pay schedule and pay band for all Science & Engineering Positions will be ND-1/2/3/4/5. Recruitment/Relocation incentive may/may not be authorized. This position is covered by the Department of Defense Priority Placement Program. Several vacancies may be filled. 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. 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. Veteran's preference does not apply when selecting individuals under this specific hiring authority. However, if you claim veteran's preference, you will be required to submit supporting documentation with your application as described in the Required Documents section below.