Data Scientist
Department of Health and Human Services - Multiple Locations
Posted Jun 2, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- $108K-$158K From the posting source checked Jun 20, 2026
Was this benefit information wrong? Tell us.
Market context
- U.S. role benchmark (BLS OEWS)
- $111,944 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
19% above the BLS role benchmark for data and ml aggregate.
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
- Not verified
- Assessment
- Required From the posting source checked Jun 20, 2026
- Deadline
- Not stated
Where they hire
Hires in: CO, GA, MA, MD, MO, PA, TX, WA From the posting source checked Jun 20, 2026
About this role
Data Scientist Multiple Locations Summary This position is located in the Department of Health & Human Services (HHS), Centers for Medicare & Medicaid Services (CMS), Office of Human Capital, Human Capital Strategy & Systems Group, Division of Workforce Analytics & Accountability. As a Data Scientist, GS-1560-13, you will design, develop, and implement the analytical, statistical, and programming mechanisms necessary to collect, organize, analyze, and interpret unique and specialized human resources (HR) data sets. Duties Advises on workforce and HR data reporting. Collects, organizes, analyzes, and interprets specialized HR data sets, including but not limited to recruitment, staffing, retirement, separations. Collects, cleans, and analyzes data; creates visualizations; and develops and tests hypotheses using tools like SAS, R, or SPSS. Uses business intelligence tools to generate reports and communicate statistical insights to non-technical audiences. Education Education Requirement: In addition to meeting the qualification requirements, all candidates must have the following educational requirements: Basic Requirements: 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. TRANSCRIPTS are required to verify satisfactory completion of the educational requirement listed above. Failure to submit a copy of your transcripts at the time of application WILL result in an ineligible rating. Please
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