Computer Scientist (EDGE)

About this role

Qualifications: All qualifications must be met by the closing date of this announcement-10/30/2026-unless otherwise stated in this vacancy announcement. To receive credit for experience, your resume MUST state either "full-time" (or "40 hours a week") or "part-time" with the number of hours worked per week to ensure proper crediting of specialized experience. Failure to adequately provide information needed to determine number of hours worked in each position may result in that time not being credited when evaluating qualifying experience.

For periods of time that reflect military service, the DD-214 or Statement of Service is sufficient to meet the full and/or part-time hours requirement as the service dates will be reflected. Minimum Qualification Requirements: To qualify for this position, you must meet the following minimum qualifications: Basic Educational Requirement AND Specialized Experience for the series to which you are applying. Basic Educational Requirements: In addition to the specialized experience requirements for this position, you must meet at least one of the following: Degree: Bachelor's or higher degree in computer science OR a bachelor's 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. You must submit transcripts. -AND- To qualify for this position at the GS-13 grade level: Specialized Experience Requirement: In addition to the basic education requirement stated above, you must possess at least one full year of specialized experience equivalent to the GS-12 level in the Federal service (obtained in either the public or private sectors).

Specialized experience is defined as demonstrated experience: Applying advanced AI/ML methods-including deep learning, foundation models, computer vision, automated feature extraction, or related approaches-to scientific or geospatial problems. Conduct original research, develop and evaluate novel algorithms or analytical methods, and rigorously assess accuracy, uncertainty, scalability, and scientific validity. Use of AI/ML for Earth observation and geospatial data applications.