Mathematical Statistician

Applicants must meet all qualifications and eligibility requirements by the closing date of the announcement including time-in-grade restrictions, specialized experience and/or education, as defined below. Time in grade: Applicants must have one year of specialized experience at the next lower grade to be considered for the next higher grade (One year at the GS-14 grade level for consideration for the GS-15 grade level). Basic Requirements: 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. In addition to meeting the basic requirements described above, applicants must also meet additional qualification requirements as stated below. Specialized Experience: Specialized experience is experience directly related to the position to be filled. Specialized experience must be described for each grade level advertised. The specialized experience requirements for this position are: Qualifying experience for GS-15 includes one year of specialized experience comparable to the GS-14 which is directly related to the work of this position and which has equipped the applicant with the knowledge, skills, and abilities to perform, successfully, the duties of the position. For this position, specialized experience is the experience of providing expert technical guidance and leading advanced statistical research and modernization efforts; directing, assigning, and evaluating the workforce while ensuring compliance with EEO policies; and representing the organization in international partnerships to promote best practices and knowledge exchange. Also the ability to lead and accomplish work through others (i.e. team building, conflict management, cultural awareness, strategic thinking, technology management, and political savvy.) and the ability to communicate with individuals or groups from diverse backgrounds in a variety of situations. 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 and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. In this position, you will serve as a senior leader responsible for directing statistical governance, compliance, and innovation initiatives. This includes oversight of advanced methodologies, risk assessment, and representation of NASS in international statistical forums.