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DISTINGUISHED SCIENTIST/ENGINEER FOR NAVAL DATA SCIENCES
Naval Sea Systems Command · Posted today
About the Role
You will serve as Distinguished Scientist/Engineer for Naval Data Sciences for the Naval Surface Warfare Center Dahlgren Division (NSWCDD).
What You'll Do
- →You will provide vision and long-term stewardship of data sciences and analytical engineering capabilities to include development of data governance and architecture strategies.
- →You will provide technical leadership within NAVSEA across the full range of data sciences functions to include artificial intelligence, machine learning, reinforcement learning, and big data analytics.
- →You will influence critical science and technology and research and development to ensure that the Naval Enterprise is poised to support needs regarding big data analytics and artificial intelligence in defense of the nation.
- →You will guide and influence the direction of data science research efforts at the national, DoW, and DoN levels.
- →You will serve on executive steering groups and advisory boards to ensure that data sciences applications are brought to bear for Navy programs of record and future programs.
- →You will serve as an expert consultant to NSWCDD and Navy as well as a member of the defense community to include the other services, industry, academia, and international partners.
Requirements
- ✓Applicants must meet the following positive education qualifications requirements of the Office of Personnel Management (OPM) Qualifications Standards Manual: For 0801 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 degree in operation mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence in college-level mathematics research; or at least 24 semester hours in a combination of operations research, mathematics or statistics.
- ✓At least 3 of the 24 semester hours must have been in calculus.
- ✓For 1520-Mathematics Series: A degree in mathematics; or the equivalent of a major that included at least 24 semester hours in mathematics or A combination of education and experience -- courses equivalent to a major in mathematics (including at least 24 semester hours in mathematics), as shown in A above, plus appropriate experience or additional education.
- ✓For 1550-Computer Science Series: A 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.
Personality Fit
Job ID: 4317e17f-fa9a-4fd6-9719-b80e93dc71dc
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