Supervisory Mathematical Statistician

You must meet the Basic Requirements and the Minimum Qualifications to qualify for Supervisory Mathematical Statistician, as described below. Basic Requirements: Mathematical Statistician, GS-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. Minimum Qualifications: Mathematical Statistician, GS-1529: 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. Specialized experience should include a thorough range of complex economic professional work. GS-14: Applicants must have one year of specialized experience equivalent to at least the GS-13 grade level. Applicants will need to meet all of the specialized experience examples. Qualifying specialized experience includes: Provided technical direction for developing, implementing, and evaluating statistical methods for Bureau of Labor Statistics (BLS) Programs; Oversaw sample production and maintained sampling systems, frames, allocation, and selection processes. Participated on matrix teams to refine objectives, plan activities, develop milestones, and contribute to issue resolution.