Job Title: Mathematical StatisticianJob Announcement Number: NCSES-2013-0008
Agency: National Science Foundation
This position is closed and no longer accepting online applications through USAJOBS.
The contents of the announcement can still be viewed.
/ Per Year
Friday, January 11, 2013 to
Friday, January 25, 2013
SERIES & GRADE:
Few vacancies in the following location(s):
Arlington, VA, USView Map
WHO MAY APPLY:
Applications will be accepted from current National Science Foundation (NSF) employees only. Applications will be accepted from US Citizens. Due to a recent change in Federal Appropriations Law, only Non-Citizens who are permanent US residents and actively seeking citizenship can be considered. Therefore, you are required to provide documentation that confirms you are actively seeking citizenship at the time you submit your application.
Become a part of our mission to maintain and strengthen the vitality of the US science and engineering enterprise. For over 60 years, the National Science Foundation (NSF) has remained the premier Federal agency supporting basic research at the frontiers of discovery across all fields, as well as science and engineering education at all levels.
The NSF is seeking candidate(s) for Mathematical Statistician within the National Center for Science and Engineering Statistics (NCSES), Directorate for Social, Behavioral and Economic Sciences (SBE), Arlington, VA.
NCSES designs, supports and directs periodic surveys and other data collections and research projects which permit further compilation, analysis, and dissemination of quantitative information about domestic and international resources devoted to science, engineering, and technology. NCSES activities require collaboration with other Federal agencies and with international organizations. NCSES participates actively in the Federal statistical community, serving on interagency committees and funding joint activities. NCSES also works collaboratively with international organizations such as OECD, UNESCO, and UNECE to improve the extent and comparability of data on the S&E enterprise across countries. In addition to statistical surveys, NCSES also supports a formal program of extramural research on both methodological and substantive areas related to the work of NCSES. The Center also supports several programs that encourage the training and development of additional researchers to analyze NCSES data. For more information about NCSES and its Programs, please visit http://www.nsf.gov/statistics/
- Background investigation.
- Preview questions at bottom of Qualifications & Evaluations--see tab above.
DUTIES:Back to top
The individual selected for this position will serve as a Mathematical Statistician. The Mathematical Statistician:
- Designs, applies, develops or oversees the development and use of original mathematical statistical techniques in order to improve the validity, quality or other characteristics of assigned programs and projects.
- Evaluates data resulting from the application of mathematical statistical tools, models, methods and techniques.
- Conceptualizes and develops experimental designs, sample designs, implementation procedures, analytics methods and exploratory techniques for major national studies or statistical surveys or comparable operations.
- Plans, organizes and conducts research on experimental designs, analytical methods, exploratory techniques, performance measures and other survey-related methodologies specifically related to data quality issues.
- Investigates new estimation techniques such as model based estimation, use of administrative statistics, or propensity models for non response to improve the statistics produces by the Human Resources Statistics (HRS) program.
- Plans for innovative, complex analysis of SRS survey data. Conducts or oversees the conduct of such analysis from data analysis through report preparations.
- Manages assigned resources and reviews and evaluates proposed research budgets.
- Makes presentations at professional society and interagency meetings to stimulate understanding of, interest in, and cooperation with SRS activities in areas of assigned responsibilities.
- Maintains liaisons with other organizations, both foreign and domestic, to keep abreast of state-of-the-art technologies, statistical methodologies, and areas of assigned responsibilities.
- Leads mathematical statistician on activities of the HRS program.
- Reviews contractor statistical recommendations of HRS surveys. Designs methodological research studies for HRS surveys. Reviews and provides input on methodology reports for all HRS surveys.
- Responsible for disclosure review of HRS products.
QUALIFICATIONS REQUIRED:Back to top
Applicants must have a Ph.D. or equivalent experience in mathematics or statistics plus six or more years of experience applying mathematical statistical theories and methodologies to statistical aspects of survey research and methodology in order to execute and control major statistical and survey projects.
You will need to successfully complete a background security investigation before you can be appointed into this position.
You must meet eligibility and qualification requirements before 11:59 PM Eastern time on the closing date of the job announcement. You must answer all job-related questions in the NSF eRecruit questionnaire.
All online applicants must provide a valid email address. If your email address is inaccurate or your mailbox is full or blocked, you may not receive important communication that could affect your consideration for this position.
This Mathematical Statistician position is in the bargaining unit.
HOW YOU WILL BE EVALUATED:
You will be evaluated on the extent and quality of your experience, education, and research relevant to the duties of the position. We strongly encourage you to specifically address the Quality Ranking Factors below. This will ensure that you receive full consideration in the evaluation process.
Quality Ranking Factors
To preview questions please click here.
- Expert knowledge of advanced mathematical statistical theories and methodologies and of survey methodology.
- Ability to develop or adapt mathematical statistical methods or approaches for application to various projects and/or statistical specialty areas such as non-response adjustment, variance estimation, imputation and sampling.
- Experience in analyzing and summarizing statistical and survey data and other relevant scientific and/or administrative data to prepare reports and guides for technical and non-technical audiences.
- Experience communicating technical statistical material and concepts to non-technical internal and external audiences both orally and in writing.
- Experience working as a team leader or member on analytic or methodological projects and serving as a statistical consultant to internal staff on a wide variety of statistical or survey improvement projects.
- Experience managing and monitoring on-going grants, contracts, interagency and cooperative agreements to ensure fulfillment of commitments to NSF.