Data Scientist, GS-1560-13, FPL 14, (Direct Hire) Open Continuous

About the role

This position is with the Federal Student Aid (FSA), located in Washington, DC. FSA is the Principal Office of the United States Department of Education responsible for awarding billions of dollars in federal student aid funds. Our vision is to be the most trusted and reliable source of student financial aid, information and services in the nation. Our core values include integrity, customer service, excellence, respect, stewardship and teamwork. This is an open-continuous announcement with cutoff dates. Applications will be referred based on receipt of application and established cutoff dates as follows: 1st cutoff date: 06/29/2026 2nd cutoff date: 07/10/2026 Last cutoff date: 07/24/2026 Minimum Qualification Requirements You may meet the minimum qualifications for the GS-13, if you possess the specialize experience. Specialized Experience for the GS-13 One year of experience in either federal or non-federal service that is equivalent to at least a GS-12 performing two (2) out of three (3) of the following duties or work assignments: 1. Experience reviewing and analyzes data trends to supporting mission goals and provided recommendation based on findings. 2. Experience developing plans and training others on assembling, evaluating, analyzing, and visually representing data. 3. Experience using a range of operations research analyses and data science tools to perform advanced professional and scientific analyst work. Knowledge, Skills, and Abilities (KSAs) The quality of your experience will be measured by the extent to which you possess the following knowledge, skills and abilities (KSAs). You do not need to provide separate narrative responses to these KSAs, as they will be measured by your responses to the occupational questionnaire (you may preview the occupational questionnaire by clicking the link at the end of the Evaluations section of this vacancy announcement). 1. Knowledge of data modeling, query authoring, and performance tuning with best practes for relational databases. 2. Knowledge of a broad range of data analyses, mathematics, statistical analysis, modeling/simulation, or other scientific concepts. 3. Skill in both oral and written communication to participate in high-level meetings, conferences, or briefings. 4. Skill in judgment, resourcefulness, and originality to foresee the impact of changing technology.

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