This is a public notice flyer to notify interested applicants of anticipated vacancies. Applications will NOT be accepted through this flyer. Interested applicants should review the "How to Apply" section of this flyer for more information on how to be considered. This flyer will be used as positions become available. There may or may not be actual vacancies filled from this flyer. This is an Interdisciplinary position and may be filled with any of the listed occupations.

Duties

Develop, evaluate, and optimize various deep learning models for computer vision tasks. Conduct data analysis and exploration to gain insights on large, unstructured data sets with numerous variables. Design, develop, and distribute internal Python tools for data cleaning, analysis, and visualization. Optimize code for memory efficiency and speed using various data structures, operations, and libraries. Test software deliveries, provide feedback, and recommend courses of action to reach project objectives. Generate charts, infographics, tables, and visual images to convey data analyses and algorithm evaluations. Ensure software documentation accuracy to improve user adoption, save support time and costs, and allow for easier maintenance. Prepare, revise, and present technical information on a weekly basis to project team and agency partners. Collaborate with an interdisciplinary team of developers, engineers, and statisticians using git-based code hosting and collaboration tools.

Requirements

• Appointment may be subject to a suitability or fitness determination, as determined by a completed background investigation.
• This position requires the incumbent be able to obtain and maintain a determination of eligibility for a Secret security clearance or access for the duration of employment. A background investigation and credit check are required.
• Position may require occasional travel away from the duty station (TDY) up to 10% of the time.
• Male applicants born after December 31, 1959, must complete a Pre-Employment Certification Statement for Selective Service Registration.
• You will be required to provide proof of U.S. Citizenship.
• Must be a U.S. Citizen
• This is an Army Acquisition, Logistics and Technology Workforce position. Selectee must meet position requirements for Engineering Technical Management (ETM) within 60 months as of entrance on duty.
• Extended trial period for the Engineers and Scientists Occupational Family is three years.

Qualifications

This position is being filled under the Direct Hire Authority (DHA) Bachelors Degree for Scientific and Engineering Positions (STRLs) authorized by 85 FR 78829 dtd 12/07/2020. Who May Apply: US Citizens In order to qualify, you must meet the education and or 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. Qualified candidates must meet the Basic Requirement for the Interdisciplinary position. In addition to meeting the Basic Requirement, applicants must have one year of specialized experience at the DB-02 (GS-11 grade level or higher equivalency). SPECIALIZED EXPERIENCE: is defined as one year of experience equivalent to the DB-02 pay band (GS-11 grade level or higher equivalency) in the Federal Service which includes experience in 1) Applying computer vision and/or deep learning for object detection and classification; 2) Performing any machine/deep learning frameworks such as Tensorflow, Keras, and PyTorch; 3)Proficiency in Spark, Python, and related packages such as numpy, pandas, scikit-image, opencv, matplotlib, seaborn, etc.; 4) Understanding of popular metrics used to evaluate computer vision tasks such as ROC curves, confusion matrices, etc.; 5) Providing verbal and written communication skills for effective communicating with the team while presenting information to varied technical and non-technical audiences. Basic Requirement for Engineer (0800 series): A. Degree: 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 Computer Scientist (1550 series): Degree: Bachelor's degree (or higher degree) in computer science or bachelor's degree (or higher 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. Basic Requirement for General Physical Scientist (1300 series): A. Degree: physical science, engineering, or mathematics that included 24 semester hours in physical science and/or related engineering science such as mechanics, dynamics, properties of materials, and electronics OR B. Combination of education and experience -- education equivalent to one of the majors shown in A above that included at least 24 semester hours in physical science and/or related engineering science, plus appropriate experience or additional education. Basic Requirements for Data Scientist (1560 series): Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. or Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience. Transcripts are required to meet the Basic Education for the applicable series.

Education

FOREIGN EDUCATION: If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show the education credentials have been evaluated by a private organization that specializes in interpretation of foreign education programs and such education has been deemed equivalent to that gained in an accredited U.S. education program; or full credit has been given for the courses at a U.S. accredited college or university. For further information, visit: http://www.ed.gov/about/offices/list/ous/international/usnei/us/edlite-visitus-forrecog.html

Contacts

• Address FN-W4G828 US ARMY COMBAT CAPABILITIES DEV CMD DO NOT MAIL Aberdeen Proving Ground, MD 21005 US
• Name: Army Applicant Help Desk