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DISTINGUISHED SCIENTIST/ENGINEER FOR USW ANALYSIS OF DISTRIBUTED MARITIME OPERATIONS (DMO)
Naval Sea Systems Command · Posted 39 days ago
Hybrid Naval Base Newport, RI $193K – $210K Apply by Aug 21, 2026 Mechanical Engineering INTJINTPISTJISTP EngineeringOperations
Apply for this job → About the Role
You will serve as the Distinguished Scientist/Engineer for Undersea Warfare (USW) Analysis of Distributed Maritime Operations (DMO). You will be an expert in conducting integrated and distributed platform warfighting effectiveness analysis, generating force and campaign level scenarios, evaluating system solution alternatives, assessing emerging technology future concepts, and evaluating Navy Concepts of Operations (CONOPS) and Concepts of Employment (CONEMPS).
What You'll Do
- →You will spend approximately 65% of their time initiating, planning, overseeing, executing, assessing and communicating analysis projects supporting the advancement of Navy USW DMO effectiveness and USW technology, tactics and techniques.
- →You will advise senior level OSD, DOD, and Navy officials on USW DMO warfighting effectiveness assessments.
- →You will coordinate with sponsors, stakeholders, and acquisition offices to provide the analysis products that can influence technology maturation plans, integration pathways, and the prioritization of emerging capabilities.
- →You will provide quality assurance insights to preserve the scientific integrity of USW research and development efforts, validating that system architectures and approaches align with long-term vision, warfighter needs, and enterprise strategies.
- →You will share expertise by activities such as chairing or advising on technical review boards, concept evaluation panels, and design authorities to ensure that research outputs meet the highest standards of rigor, relevance, and interoperability.
Requirements
- ✓Applicants must meet the following positive education qualifications requirements of the Office of Personnel Management (OPM) Qualifications Standards Manual: For 08XX Professional Engineering Series: A.
- ✓Degree: Engineering.
- ✓Successful completion of a bachelor's or higher engineering degree from an accredited college or university.
- ✓Such education must demonstrate the knowledge, skills, and abilities necessary to do the work of the position. -or- B.
- ✓Combination of education and experience -- college-level education, training, and/or technical experience that furnished (1) a thorough knowledge of the physical and mathematical sciences underlying engineering, and (2) a good understanding, both theoretical and practical, of the engineering sciences and techniques and their applications to one of the branches of engineering.
- ✓The adequacy of such background must be demonstrated by one of the following: (I) Professional registration or licensure -- Current registration as an Engineer Intern (EI), Engineer in Training (EIT), or licensure as a Professional Engineer (PE) by any State, the District of Columbia, Guam, or Puerto Rico.
- ✓Absent other means of qualifying under this standard, those applicants who achieved such registration by means other than written test (e.g., State grandfather or eminence provisions) are eligible only for positions that are within or closely related to the specialty field of their registration.
- ✓Ordinarily there should be either an established plan of intensive training to develop professional engineering competence, or several years of prior professional engineering-type experience, e.g., in interdisciplinary positions.
- ✓(The above examples of related curricula are not all inclusive.) For 1515-Operations Research Series: a.
- ✓A degree in operations research; or b.
- ✓A bachelor's degree with at least 24 semester hours in a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence in college-level mathematics or statistics.
- ✓At least 3 of the 24 semester hours must have been in calculus.
- ✓For 1550-Computer Science Series: a.
- ✓A degree in computer science or b.
Personality Fit
Job ID: af85342a-527b-42e6-a8ad-b8c8458dd90e
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