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Naval Sea Systems Command

LEAD COMPUTER SCIENTIST

Department of the Navy · Keyport, Washington

Salary
$119,630 - $155,521 per year
Pay grade
GS-13
Schedule
Full-time
Appointment
Permanent
Opened
Oct 30, 2026
Closes
Nov 9, 2026
Remote
No
Telework eligible
Yes
Openings
1
Security clearance
Secret
Promotion potential
13
Announcement
ST-13104039-27-NMS

Who may apply: Career transition (CTAP, ICTAP, RPL) · Individuals with disabilities · Internal to an agency · Land and base management · Military spouses · Special authorities · Veterans

Apply on USAJOBS

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Summary

You will serve as a Lead Software Product Owner in the Digital Transformation Division of the Naval Undersea Warfare Center Division of NAVUNSEAWARCENDIV KEYPORT WA.

Duties

  • You will serve as the principal technical expert and Product Owner for software engineering and associated high-priority software applications.
  • You will complete broad, diverse, and intense assignments that involve many varied, complex, and cutting-edge features of computer science.
  • You will work on software development projects, system integrations, and modernization studies requiring deep analysis of interrelated issues concerning the effectiveness, security, efficiency, and productivity of mission-oriented programs.
  • You will formulate detailed software development plans, establish technical roadmaps, and define architecture goals for the long-range implementation and administration of software projects.
  • You will make decisions on complex software engineering processes amid conflicting objectives, rapid technological change, and evolving legislative, regulatory, and cybersecurity guidance.

Qualifications

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-12 grade level or pay band in the Federal service or equivalent experience in the private or public sector leading complex software, information technology, or digital transformation projects. Experience must demonstrate: 1) the ability to apply project-management principles; knowledge of data science and artificial intelligence projects; and Agile practices to manage requirements, priorities, schedules, risks, resources, and stakeholder expectations throughout the lifecycle of secure, scalable software capabilities; and 2) collaboration with cross-functional technical teams and customers to translate operational needs into actionable technical solutions, monitor delivery progress, and communicate project status, risks, and recommendations.. 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 https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1500/computer-science-series-1550/ 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: Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and course work must be from accredited or pre-accredited institutions. Evaluation of Education: Applicants should have sufficient knowledge to understand the fundamental concepts and techniques of computer science. Courses designed to provide an introduction to computer science techniques and methodologies, to problems of system design, and to other specialized fields are acceptable. Courses or experience in teaching elementary, business, or shop mathematics are not acceptable.

Job data from USAJOBS.gov. Careers.org is not affiliated with or endorsed by OPM. Retrieved Nov 4, 2026, 9:16 AM EST.