job
DISTINGUISHED SCIENTIST/ENGINEER FOR NAVAL DATA SCIENCES
Organization Naval Sea Systems CommandLocation Dahlgren, United StatesPosted 12 May 2026Deadline 2 Jun 2026
General EngineeringOperations ResearchMathematicsComputer ScienceData Science Series
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Full Description
Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution. Candidates will not be hired based on their race, sex, color, religion, or national origin. To meet the minimum qualification requirements for this position, your resume must show that you possess the Technical Qualifications (TQ) related to this position - NOT TO EXCEED 2 PAGES. Resumes over the 2-page limit will be disqualified. Your resume should include examples of experience, education, and accomplishments applicable to the qualification(s). If your resume does not reflect demonstrated evidence of these qualifications, you may not receive consideration for the position. TECHNICAL QUALIFICATIONS (TQs): Your resume should demonstrate accomplishments that would satisfy the technical qualifications: TQ1. Demonstrated broad knowledge and competence in the specialized area of large-scale, complex data science systems, data science engineering concepts including data structures, and computational frameworks to resolve complex real-world problems. TQ2. Demonstrated experience formulating strategic plans and leading teams designing, developing and deploying state of the art advanced data science, computer science, supervised and unsupervised learning and modeling & simulation products. 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=GS-PROF AND All Professional Engineering series, 0801 Operation Research Series, 1515 Mathematics Series, 1520 Computer Science Series, 1550 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.
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