Statistician (Data Scientist)

About this role

You must meet the following requirements within 30 days of the closing date of this announcement. For the Statistician (Data Scientist), GS-1530-12 position, you must qualify for one of the following options that best describes how you meet the Individual Occupational Requirement: 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. AND Meet the following Specialized Experience: For the GS-12, you must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-11 grade level in the Federal service.

Specialized experience for this position includes: Assisting in researching and compiling data for inspection, audit and investigation activities; AND Supporting data processing and analysis using analytic platforms and software; AND Contributing to the development of work products such as data briefings, dashboards, and presentations based on data analysis. The experience may have been gained in either the public, private sector or volunteer service.