BASIC EDUCATION REQUIREMENT for Research Mathematical Statistician, GS-1529:
Applicants must meet A or B below to satisfy the basic education requirement for Research Mathematical Statistician at all grade levels.
Possess 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.
A 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. (CLICK HERE FOR DETAILS ON HOW TO COMBINE GRADUATE EDUCATION & EXPERIENCE)
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.
In addition to the basic education requirements as stated above, applicants must meet one of the following to qualify for the GS-12 level:
Possess a Ph.D. or equivalent doctoral degree;
**OR: Possess one year of appropriate professional experience that is equivalent to at least the GS-11 level in the Federal service. Examples of such experience include: organizing, planning, and executing assignments and interpreting research findings; developing, devising, and participating in research activities on 2-point and multi-point geostatistics for the assessment of energy and mineral resources and their use, as well as their spatial features and distribution in two or three dimensions; and participating in the development of computer algorithms and machine learning techniques for analyzing, identifying, predicting, and displaying broad scale data of geological, geochemical, geophysical, fluid production, and sub-surface engineering origin, for the analysis of energy and mineral resources.
You must meet all qualification and eligibility requirements for the position by the closing date of the announcement.