The United States government is a massive employer, and is always looking for qualified candidates to fill a wide variety of open employment positions in locations across the country. Below you’ll find a Qualification Summary for an active, open job listing from the Department of Commerce. The opening is for a Statistician, (Data Scientist) GS-1530-11/12, Census-DE-SRL in Suitland, Maryland Feel free to browse this and any other job listings and reach out to us with any questions!
Statistician, (Data Scientist) GS-1530-11/12, Census-DE-SRL – Suitland, Maryland
U.S. Census Bureau, Department of Commerce
Job ID: 458030Start Date: 05/20/2021End Date: 06/10/2021
MinimumEducation Requirement: 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 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 Specialized Experience: For the GS-11, you must have one year of experience at a level of difficulty and responsibility equivalent to the GS-09 in the Federal service. Experience for this position includes:planning and carrying out data science projects including but not limited to regression, statistical analysis, and modeling; interpreting and analyzing results from data collected using statistical programming languages and/or software (such as Python, R, SAS, and Stata); using data science technologies to collect, extract, guide, and transform data; communicating results with appropriate data visualizations and with written reports or publications to appropriate audiences.
3 years of progressively higher level graduate education leading to a Ph.D. degree or Ph.D. or equivalent doctoral degree.
Specialized Experience:For the GS-12, you must have one year of experience at a level of difficulty and responsibility equivalent to the GS-11 in the Federal service. Experience for this position includes:planning and carrying out data science projects including but not limited to regression, statistical analysis, and modeling; interpreting and analyzing results from data collected using statistical programming languages and/or software (such as Python, R, SAS, and Stata); using advanced data science technologies and techniques to collect, extract, guide, clean, and transform data; writing reports or publications and conducting presentations; communicating results with appropriate data visualizations; collaborating and communicating with individuals within the scientific community; facilitating work across teams.
Education cannot be substituted for experience at this grade level. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
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