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.

Duties

Develop and deliver flexible ad-hoc programming or software-based tools in order to meet the vision of a data-driven organization. Provide experience and expertise with planning, programming, training, and implementing Artificial Intelligence and Machine Learning. Synchronize efforts to gain/maintain the leading edge in state-of-the-art technology. Assist engineering teams to conceive, plan, and execute projects through private industry and government efforts. Present briefings to senior leadership on complex or difficult recommendations that have DOD-wide and international impact. Support a team whose function is to bring agile descriptive, prescriptive, and directive analytics and modeling functions to the organization.

Requirements

• Appointment may be subject to a suitability or fitness determination, as determined by a completed background investigation.
• Secret security clearance required.
• Business travel/Temporary Duty (TDY) may be required up to 25%.
• One-year probationary period may be required.

Qualifications

Who May Apply: US Citizens In order to qualify, you must meet the education/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 Education Requirement: 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. NOTE: YOU MUST SUBMIT A COPY OF YOUR TRANSCRIPTS WITH YOUR APPLICATION PACKAGE. Specialized Experience: In addition to meeting the basic education requirement, applicants must meet specialized experience requirements: One year of specialized experience which includes: 1) planning, developing and implementing modeling efforts using industry-standard languages (e.g. R-Shiny or Python) and AI/ ML methods; 2) designing and delivering data flows through Oracle, AWS, or Azure services that facilitate data development and management; and 3) working with other developers to design statistical and/or mathematical computations that deliver data quality, accurate analysis, and statistically-significant results that enable leaders to make decisions. This definition of specialized experience is typical of work performed at the next lower grade/level position in the Federal service (GS-12). Some federal jobs allow you to substitute your education for the required specialized experience in order to qualify. For this job, you must meet the qualification requirement using experience alone--no substitution of education for specialized experience is permitted.

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 AB-APF-W2VNAA OFC OF THE CHIEF OF STAFF FOR LOGIS-AR DO NOT MAIL Chambersburg, PA 17201 US
• Name: Daniel Belzer
• Email: [email protected]