Computer Scientist

About this role

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 Current Department of Army Civilian Employees Interagency Career Transition Assistance Plan Military Spouses, under Executive Order (E.O.) 13473 Priority Placement Program, DoD Military Spouse Preference (MSP) Eligible Reinstatement 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 Scientist: 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.

In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below: Specialized Experience: One year of specialized experience which includes: 1. Architecting, developing, and deploying modern software applications, distributed data systems, or advanced computing architectures (e.g., cloud, hybrid, or edge environments); 2. Serving as a technical authority in software engineering and data pipelines, leading the design, integration, and optimization of data/AI systems; and 3.