Supervisory Mathematical Statistician

Full Job Description

This vacancy is for a Supervisory Mathematical Statistician position in the Center for Enterprise Dissemination located at the U.S. Census Bureau Headquarters in Suitland, Maryland.

The Census Bureau is accessible from the Metro Rail Green Line - Suitland Station.

This Job Opportunity Announcement may be used to fill other Supervisory Mathematical Statistician, 1529-15, positions within the Census Bureau in the same geographical location with the same qualifications and specialized experience.

BASIC QUALIFICATIONS: Minimum Education Requirement: 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.

Courses acceptable toward meeting the mathematics course requirement 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.

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.

Note: To receive credit for coursework that is not catalogued on the transcript as Statistics or contain 'statistics' in the course title, applicants must attach a copy of an official course description that clarifies the course has statistical content, or written documentation which must be on official school letterhead from a professor or a school official verifying that the content of the course has either met the 50 percent statistics course requirements or was a statistical course.

AND MINIMUM QUALIFICATIONS: Specialized Experience: For the GS-15, you must have one year of experience at the level of difficulty and responsibility equivalent to the GS-14 level in the Federal service.

Developing, directing and coordinating the application of mathematical statistical techniques to the design and conduct of the statistical programs and developing and conducting intensive research and statistical experiments relative to the application of statistical and general survey methodology encountered in the collection and compilation of data.

Leads and manages research that contributes to the increasing and expanding field of survey methodology. Communicates conflict or comparable complex technical issues to a variety of audiences.

Education: Education cannot be substituted for experience at the GS-15 grade.

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. Major Duties:

• Provides guidance to staff for conducting research projects to investigate new theories and practices in frame development, sampling, data collection methodology and data analysis.
• Leads and manages both mathematical and survey statisticians to perform research and develop programs related to survey methodology.
• Performs a full range of research and development activities that encompass the cognitive sciences, survey and statistical methodology, and experimental design and testing.
• Prepares reports and clearly communicates conflict, competing objectives, major resource limitations, reductions, or comparable complex technical issues to a variety of audiences.