LEAD IT SPECIALIST (SYSADMIN/DATAMGT)
U.S. Marine Corps
FreshPosted Feb 5
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Posted: February 5, 2026 (1 day ago)
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Data Scientist
Offices, Boards and Divisions
Department of Justice
Location
Salary
$143,913 - $187,093
per year
Type
Full Time
More IT & Technology jobs →Closes
February 18, 2026
GS-15 Pay Grade
Base salary range: $123,041 - $159,950
Typical requirements: 1 year specialized experience at GS-14. Senior leader or top expert.
Note: Actual salary includes locality pay (15-40%+ depending on location).
Job Description
Summary
This job involves working as a data expert in the Department of Justice's budget team, where you'll gather, analyze, and present financial and budgetary information to help make smarter policy and resource decisions.
It's ideal for someone with a strong background in math or data who enjoys using numbers to solve real-world problems in government operations.
The role focuses on improving how data is handled to support the agency's goals in Washington, DC.
Key Requirements
- Bachelor's degree in mathematics, statistics, computer science, data science, or a related field (or equivalent combination of education and experience)
- One year of specialized experience at GS-13 level or equivalent, including developing policies for organizational missions
- Experience applying mathematical, statistical, or scientific methods to analyze data
- Proficiency in analytical and evaluative techniques to identify and resolve issues
- Ability to design, plan, and modify hardware, software, and data architecture
- Skills in conducting strategic assessments of technical competencies
- Knowledge of improving data reliability, efficiency, quality, and budgetary/financial data for policy recommendations
Full Job Description
This position serves as a Data Scientist in the Justice Management Division, Budget Staff, Budget Operations Group (BOG) located in Washington, DC.
The purpose of this position is to serve as the JMD Budget Staff authority in the identification, collection, analysis, measurement, documentation, reporting, and presentation of reliable budgetary and financial data for the purpose of improving the delivery of data-driven policy and resource recommendations and decisions To qualify for the position of Data Scientist, at GS-1560-14 you must meet the basic qualification requirements listed below.
BASIC QUALIFICATIONS: A. 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 B.
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.
Specialized Experience: For the GS-14, you must have one year of specialized experience at the GS-13 grade level or equivalent pay band in the Federal Service, which includes: Developing policies essential to the organization's mission; Applying mathematic, statistical, or scientific analysis to analyze data; AND Applying analytical or evaluative techniques to identify or resolve issues or problems You MUST meet all qualification requirements, including time-in-grade, by the 02/18/2026 of this announcement.
Your resume must support your responses to the application questionnaire and the qualification requirements. Failure to do so may result in an ineligible rating.
See the Required Documents section for important notes about what must be included in your resume. Major Duties:
The duties and responsibilities for a Data Scientist, GS-1560-14, generally include, but are not limited to, the following: Design, plan, and modify existing hardware, software, and data architecture to support JMD Budget Staff mission.
Conduct strategic operational level assessments to determine technical competencies.
Identify ways to improve data reliability, efficiency, and quality for JMD Budget Staff mission, goals, and future planning.
Identify reliable budgetary and financial data for improving the delivery of data-driven policies and resource recommendations.
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