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Job opening: Interdisciplinary Statistician / Mathematical Statistician

Salary: $103 281 - 156 502 per year
Published at: Apr 12 2024
Employment Type: Full-time
This position is located in the Applied Research and Method (ARM) Team, Center for Statistics and Data Analysis (CSDA). The mission of CSDA is to enhance the evidence base of GAO's work through the use of statistics and data analysis. Statisticians in CSDA provide support for the application of advanced statistical analyses, the design of efficient sampling approaches, and the organization of activities that strengthen analytical skills at GAO.

Duties

The Applied Research and Methods (ARM) Team, Center for Statistics and Data Analysis (CSDA) is seeking an experienced professional to serve as a Senior Statistician / Mathematical Statistician to perform the following: Participating in aspects of research design, researchable question development, data collection and analysis, message development, and report writing with respect to sampling, statistical, and analytical procedures, and ensuring the quality and value of the final product. Developing and/or applying methods based on statistical theory to implement statistical modeling techniques, such as multivariate and regression analyses, or complex sample design, selection and analysis. Conducting complex statistical analyses using various statistical software, such as SAS, Stata, Python and R; interpreting and presenting statistical results; and advising staff on statistical matters. Preparing and reviewing technical documentation related to statistical analysis, interpretation of statistical results, sample design, and/or sample estimates in a manner appropriate for the audience. Advising non-technical staff on how data should be collected for engagements. Selects, refines, organizes, and presents factual information and analysis in support of engagement objectives. In collaboration with engagement team members, decides on scope, form, content, and depth of analysis. Develops sample designs for probability and non-probability samples, performs sample selection, and produces estimates from sample data derived from probability samples. Contributing to primary data collection. Evaluates and analyzes data to determine relevance and reliability. As required, performs indexing and referencing tasks to support sample designs, estimates, and statistical analyses. Developing findings and recommendations and preparing GAO products that provide factual and analytical information in a clear, balanced manner that meets the needs of congressional clients. Performs statistical analyses, interprets and presents statistical results, assists team members to identify how data from samples and output from statistical analyses support findings and recommendations, and advises staff on matters relating to statistical issues, data analysis, and evidence.

Requirements

Qualifications

In addition to the education requirement, you must have 1 year (52 weeks) of specialized experience equivalent to the next lower band or level equivalent to the GS-12 in the Federal Service, or comparable private/public sector experience, which has equipped you with the skills and knowledge to successfully perform the duties of the position. Specialized experience for this position is defined as practical and theoretical experience performing multivariate modeling, sampling, estimation, and other statistical analysis independently, to meet overall objectives. 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. You must meet all the requirements before the closing date of the announcement.

Education

This is an interdisciplinary, professional position which may be filled as a Statistician or a Mathematical Statistician. To qualify, you must meet the requirements for either occupational series listed below.

Documentation to verify your education MUST be submitted with your application in order to be considered.

BASIC REQUIREMENTS FOR THE MATHEMATICAL STATISTICIAN SERIES 1529:

A. Degree: that included 24 semester hours of mathematics and statistics, of which at least 12 semester hours were in mathematics and 6 semester hours were in statistics.

OR

B. Combination of education and experience - at least 24 semester hours of mathematics and statistics, including at least 12 hours in mathematics and 6 hours in statistics, as shown in A above, plus appropriate experience or additional education.

Evaluation of Education:
Courses acceptable toward meeting the mathematics course requirement of paragraphs A or B above must have included at least four of the following: differential calculus, integral calculus, advanced calculus, theory of equations, vector analysis, advanced algebra, linear algebra, mathematical logic, differential equations, or any other advanced course in mathematics for which one of these was a prerequisite. Courses in mathematical statistics or probability theory with a prerequisite of elementary calculus or more advanced courses will be accepted toward meeting the mathematics requirements, with the provision that the same course cannot be counted toward both the mathematics and the statistics requirement.

Evaluation of Experience:
The experience offered in combination with educational courses to meet the requirements in paragraph B above should include evidence of statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying known statistical techniques to data such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.Without other indications of statistical experience, work required in the processing of numerical or quantified information by other than statistical methods is not considered appropriate qualifying experience. Examples of such nonqualifying work include statistical clerical work; statistical drafting; calculation of totals, averages, percentages, or other arithmetic summations; preparation of simple tables or charts; or verification of data by simple comparison or proofreading.

BASIC REQUIREMENTS FOR THE STATISTICIAN SERIES 1530:

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.

Contacts

  • Address Government Accountability Office Human Capital Office 441 G Street NW Washington, DC 20548 US
  • Name: Ebonye Watson
  • Email: [email protected]

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