Supervisory Statistician / Supervisory Data Scientist

Full Job Description

This position is located in the Directorate of Technical Support and Emergency Management (DTSEM), within the Office of Statistical Analysis (OSA) located in Washington, DC.

This position is at the full performance level This position is outside the bargaining unit Selectee will be expected to report to the office listed above The Statistician and Data Science series' have an Individual Occupational Requirement.

All applicants must meet the 'Individual Occupational Requirement' and the 'Specialized Experience' as described below to qualify for the Supervisory Statistician/Data Scientist position.

INDIVIDUAL OCCUPATIONAL REQUIREMENT (IOR) for the Supervisory Statistician GS-1530-15: A.

Degree: that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc.

Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.

or B. Combination of education and experience -- courses as shown in A above, plus appropriate experience or additional education.

The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.

INDIVIDUAL OCCUPATIONAL REQUIREMENT (IOR) for the Supervisory 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. 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.

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-14 in the Federal Service.

Qualifying specialized experience for the Supervisory Statistician/Data Scientist includes: Developing and/or applying special techniques, formulas, or assumptions to resolve novel or unresolved problems associated with the statistical analysis of occupational safety and health data.

Independently conducting analytical research and/or performing statistical analyses in support of strategic decision-making by OSHA senior leadership.

Formulating and/or providing technical guidance on occupational safety and health data and data systems, performance measurement and strategic planning, or data-related policy initiatives.

Major Duties:

Duties for the Supervisory Statistician/Supervisory Data Scientist include, but are not limited to: Serves as the Director of the Office of Statistical Analysis.

Leads the integration of modern data science practices across OSHA programs to support policy development and operational decision-making.

Directs interagency collaborations involving occupational safety and health data with both internal and external federal agencies.

Manages human, fiscal, physical and other resources in accordance with law, regulation and public policy to achieve intended program results.

Represents OSHA in forums, advisory panels, and interagency initiatives involving occupational safety and health data, analytics and research.