This Position Is No Longer Available
  1. Overview
  2. Duties
  3. Qualifications & Evaluations
  4. Benefits & Other Info
  5. How to Apply

Job Title:Mathematical Statistician

Agency:National Science Foundation

Job Announcement Number:NCSES-2013-0008

This position is closed and no longer accepting online applications through USAJOBS.

The contents of the announcement can still be viewed.

SALARY RANGE:

$105,211.00 to $163,957.00 / Per Year

OPEN PERIOD:

Friday, January 11, 2013 to Friday, January 25, 2013

SERIES & GRADE:

AD-1529-04

POSITION INFORMATION:

Full-time. - Permanent.

PROMOTION POTENTIAL:

04

DUTY LOCATIONS:

Few vacancies in the following location(s):
Arlington, VA, USView Map
22230View 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.

JOB SUMMARY:

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/.

KEY REQUIREMENTS

  • Background investigation.
  • Preview questions at bottom of Qualifications & Evaluations--see tab above.

DUTIES:

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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:

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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

  1. Expert knowledge of advanced mathematical statistical theories and methodologies and of survey methodology.
  2. 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.
  3. 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.
  4. Experience communicating technical statistical material and concepts to non-technical internal and external audiences both orally and in writing.
  5. 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.
  6. Experience managing and monitoring on-going grants, contracts, interagency and cooperative agreements to ensure fulfillment of commitments to NSF.

To preview questions please click here.


BENEFITS:

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A GREAT LOCATION! The National Science Foundation is conveniently located one block from the Ballston Metro Station, a few blocks from Routes 66 and 50, and about three miles from downtown Washington. Employees may rent parking spaces in the building garage. There are many shops and restaurants within easy walking distance. Employees receive the Federal benefits package and NSF offers:

  • Pre-tax parking
  • Public transportation subsidy
  • Child development center on site
  • Child care subsidy
  • Flexible working hours
  • Telecommuting
  • Physical fitness facility on site
  • NSF Federal Credit Union on site
  • Health services unit on site
  • Employee assistance program


OTHER INFORMATION:

If you do not have civil service status or reinstatement eligibility, you will not obtain civil service status if selected. If you are currently in the competitive civil service, you will be required to waive competitive civil service rights if selected.

Relocation expenses will be paid subject to funds availability.

For additional information on the NSF eRecruit system, please visit our NSF eRecruit Frequently Asked Questions.



HOW TO APPLY:

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Your application should be submitted online and must be completed and all required documents successfully faxed or uploaded before 11:59 PM Eastern time on the closing date. You must answer all of the job-related questions to ensure full consideration for this position. For more detailed information, please review our NSF eRecruit Frequently Asked Questions.

WARNING! Applications submitted online must have 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.

If you are unable to apply electronically, please use the Contact Information below for special instructions on how to submit your application materials. Hearing impaired individuals may call TDD (703) 292-5090 for assistance.

IMPORTANT NOTE: PLEASE DO NOT INCLUDE YOUR SOCIAL SECURITY NUMBER OR DATE OF BIRTH ON YOUR APPLICATION DOCUMENTS.



REQUIRED DOCUMENTS:

Non-Citizens who are permanent US residents and actively seeking citizenship are required to provide documentation that confirms you are actively seeking citizenship at the time you submit your application. Non-Citizens who do not provide documentation will not be considered.

You are strongly encouraged to submit a current performance appraisal and/or letters(s) of recommendation. Additionally, you are strongly encouraged to submit a supplemental statement that describes how your background relates to the Quality Ranking Factors listed in the Qualifications and Evaluation Requirements section of this announcement. This information will be used in the evaluation process.

You can fax or upload your letter of recommendation(s) or the individual(s) can email the letter of recommendation(s) to adsearch@nsf.gov; please ask him/her to put your name and the job announcement number in the subject line.

Faxing Instructions: Please print out the appropriate fax coversheet(s) and follow the instructions carefully. All faxing must be completed before 11:59 PM Eastern time on the job announcement closing date. Please use extreme care in dialing the fax number to assure we receive your information. You will receive an email confirmation of receipt of your faxed document(s).

Transcripts are not required; however, please indicate the year that each degree was obtained on your application materials.

We also ask that you complete and submit the Applicant Survey Form. This will help NSF to ensure that our recruiting efforts are attracting a diverse candidate pool; it will be used for statistical purposes only.

All document faxing/uploading must be completed before 11:59 PM Eastern time on the vacancy closing date.

AGENCY CONTACT INFO:

KENYA B. LYONS
Phone: 703-292-8781
Fax: 703-292-9279
TDD: 703-292-5090
Email: kblyons@nsf.gov
Agency Information:
NATIONAL SCIENCE FOUNDATION
4201 Wilson Blvd
Room 315
Arlington, VA
22230
US
Fax: 703-292-9279

WHAT TO EXPECT NEXT:

Shortly after the announcement closes, you will be notified as to whether or not you meet the basic qualification requirements. If you do, you will receive further consideration and evaluation. If the position is in the bargaining unit, and your application is referred to the selecting official, you will be contacted for an interview. Interviews for positions not in the bargaining unit may be conducted at the discretion of the selecting official. All qualified applicants will receive final notification of the outcome of the job opportunity announcement.

You may check the status of your application at any time on the USAJOBS website.


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Job Announcement Number:

NCSES-2013-0008

Control Number:

335187800