Interdisciplinary
What you'd do
These are administratively determined positions under Title 10 U.S.C 4092. The Commander of USCYBERCOM may carry out a program of personnel management authority provided in 10 U.S.C 4092. This position may be located at the following locations: Fort Meade, MD Fort Gordon, GA
Major duties
Contributes to subject matter experts (SMEs) in efforts to identify and critically assess advanced and emerging concepts and technologies to identify ways the DoD cyberspace program community can more extract meaning and value from datasets. Through analytic modeling, scripting, and/or programming, develop and implement quantitative and qualitative methods for characterizing large datasets in various states of organization, cleanliness, and structure. Through analytic modeling, scripting, and/or programming, develop and implement quantitative and qualitative methods for characterizing large datasets in various states of organization, cleanliness, and structure. Engage with peers to share information as to operational requirements and priorities, as well as ongoing data science investigations. Achieve this collaboration on a peer-to-peer basis, as well as through membership in established inter-agency and intergovernmental working groups. Uncover and explain actionable insights from data by combining scientific method, math and statistics, specialized programming, advanced analytics, artificial intelligence (AI), and storytelling. In particular, identify and prioritize data analytics capabilities that are critical to the achievement of JCWA operational capabilities. Advise on data requirements to ensure ability to achieve interoperability and engage in join operations with other DoD agencies, across the JCWA, and with foreign partners. Provide continuing expert advisory support and oversight to ensure data analytics capability gaps and disconnects are resolved, and that data standards are defined and effectively and consistently implemented across the program community. Identify the need, define standards, and lead implementation of best practices in data curation to support current and future needs of USCYBERCOM machine learning (ML) algorithms. Collaborate with Artificial Intelligence/ML Scientist, investigate advanced and emerging concepts and technologies, make authoritative recommendations for selection and exploitation of technical means to achieve effective data curation activities.
What you need to qualify
Who May Apply: Only applicants who meet one of the employment authority categories below are eligible to apply for this job. You will be asked to identify which category or categories you meet, and to provide documents which prove you meet the category or categories you selected. See Proof of Eligibility for an extensive list of document requirements for all employment authorities. In order to qualify, you must meet the education and experience requirements described below. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student; social). You will receive credit for all qualifying experience, including volunteer experience. Your resume must clearly describe your relevant experience; if qualifying based on education, your transcripts will be required as part of your application. Additional information about transcripts is in this document. Basic Requirement for Computer Engineer (Simulations) - 0854 A. Degree: Bachelor's degree (or higher degree) in engineering. To be acceptable, the program must: (1) lead to a bachelor's degree (or higher degree) in a school of engineering with at least one program accredited by the Accreditation Board for Engineering and Technology (ABET); OR (2) include differential and integral calculus and courses (more advanced than first-year physics and chemistry) in five of the following seven areas of engineering science or physics: (a) statics, dynamics; (b) strength of materials (stress-strain relationships); (c) fluid mechanics, hydraulics; (d) thermodynamics; (e) electrical fields and circuits; (f) nature and properties of materials (relating particle and aggregate structure to properties); and (g) any other comparable area of fundamental engineering science or physics, such as optics, heat transfer, soil mechanics, or electronics. 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: 1. 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. For example, an applicant who attains registration through a State Board's eminence provision as a manufacturing engineer typically would be rated eligible only for manufacturing engineering positions. 2. Written Test - Evidence of having successfully passed the Fundamentals of Engineering (FE) examination, or any other written test required for professional registration, by an engineering licensure board in the various States, the District of Columbia, Guam, or Puerto Rico. 3. Specified academic courses - Successful completion of at least 60 semester hours of courses in the physical, mathematical, and engineering sciences and that included the courses specified in A above. The courses must be fully acceptable toward meeting the requirements of an engineering program. 4. Related curriculum - Successful completion of a curriculum leading to a bachelor's degree in an appropriate scientific field, e.g., engineering technology, physics, chemistry, architecture, computer science, mathematics, hydrology, or geology, may be accepted in lieu of a degree in engineering, provided the applicant has had at least 1 year of professional engineering experience acquired under professional engineering supervision and guidance. 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. Basic Requirement for Operations Research Analyst (AI/ML) -1515: Degree: Bachelor's degree (or higher degree) in operations research; or a 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. Basic Requirement for Mathematics Statistician (AI/ML) -1529: A. Degree: Bachelor's degree (or higher degree) that included 24 semester hours of mathematics and statistics, of which at least 12 semester hours were in mathematics and 6 semester hours were in statistics. OR B. Combination of Education and Experience: At least 24 semester hours of mathematics and statistics, including at least 12 hours in mathematics and 6 hours in statistics, as shown in A above, plus appropriate experience or additional education. Courses acceptable toward meeting the mathematics course requirement of paragraphs A or B above must have included at least four of the following: differential calculus, integral calculus, advanced calculus, theory of equations, vector analysis, advanced algebra, linear algebra, mathematical logic, differential equations, or any other advanced course in mathematics for which one of these was a prerequisite. The experience offered in combination with educational courses to meet the requirements in paragraph B above should include evidence of statistical work such as (a) sampling; (b) collecting, computing, and analyzing statistical data, and (c) applying known statistical techniques to data such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance. In addition to meeting one of the basic requirements above (or one of those in the Education section), to qualify for this position you must also meet the qualification requirements listed below: Specialized experience would be demonstrated by: 1) Assessing the technical capabilities of Artificial/Intelligence (AI) or Machine Learning (ML) technology to improve the efficiency of systems within the agency; 2) Researching data science products such as AI or ML from industry partners to identify new ways to deploy AI/ML technology; 3) Interpreting standards and guidelines to ensure automated systems are functional with other systems; 4) Providing reports or briefings on the technical capabilities of automated systems. Some federal jobs allow you to substitute your education for the required experience in order to qualify. For this job, you must meet the qualification requirement using experience alone--no substitution of education for experience is permitted.
Before you apply
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