Data Scientist
Listed on 2026-08-21
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IT/Tech
Data Scientist
This position is with the U. S. Department of Labor, Occupational Safety and Health Administration (OSHA), within the Directorate of Technical Support and Emergency Management (DTSEM) in the Office of Statistical Analysis, located in Washington, DC.
- This position is at the full performance level.
- This position is inside the bargaining unit.
- This position is not remote. Selectee will be expected to report to the office listed above.
The Data Science series has an Individual Occupational Requirement. All applicants must meet the 'Individual Occupational Requirement' and the 'Specialized Experience' as described below to qualify for the Data Scientist position.
INDIVIDUAL OCCUPATIONAL REQUIREMENT (IOR) for the Data Scientist:- 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. - 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.
OR
In addition to meeting the Individual Occupational Requirement (IOR), applicants must meet the following specialized experience:Specialized Experience is the experience that equipped the applicant with the particular knowledge, skills, and abilities (KSA's) to perform the duties of the position successfully, and that is typically in or related to the position to be filled. To be creditable, specialized experience must have been equivalent to at least the next lower grade level. Applicants must have 52 weeks of specialized experience equivalent to at least the next lower grade level, GS-13, in the Federal Service.
Qualifyingspecialized experience for the Data Scientist includes:
- Applying the methods, principles, and characteristics of occupational injury, illness, and/or fatality epidemiology to assess the validity and consistency of data reporting methods..
- Using quantitative and qualitative statistical methods for the analysis of occupational safety and health injury and illness data.
- Preparing reports and providing recommendations regarding occupational safety and health based on analytical findings.
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