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    This announcement has been amended until Tuesday, February 20, 2018.

    The National Science Foundation (NSF) is seeking a candidate for the position of Mathematical Statistician within the National Center for Science and Engineering Statistics (NCSES), Directorate for Social, Behavioral and Economic Sciences (SBE) Alexandria, VA. The position will support both NCSES core activities and NSF program evaluation activities. This includes the design, conduct, and analysis of rigorous program evaluations plus data collections, surveys, and special studies on the education and employment of scientists and engineers and U.S. competitiveness in science, engineering, technology, and research and development. Work is accomplished using both in-house staff and contractors. For more information about NCSES and its programs, please visit http://www.nsf.gov/statistics.

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    The responsibilities of the Mathematical Statistician for Program Evaluation include planning, developing, and executing activities that support and strengthen NCSES's core activities plus NSF's program evaluations. The incumbent will be a member of an NSF-wide Evaluation and Assessment Capability team (in the Office of Integrative Activities) responsible for designing and conducting rigorous program evaluations throughout the Foundation. The Mathematical Statistician for Program Evaluation will use knowledge of statistical, social science, and evaluation methods and standards, to plan, execute, and advise on evaluation activities, methodological approaches, survey initiatives, data collections, statistical analyses, and the interpretation of findings. Duties include the following:

    A. Application of Statistical Methods and Standards to support NSF Evaluation and NCSES Data Collections

    B. Statistical Advisor

    C. Special Projects

    D. Outreach and other activities

    Supervisory status


    Promotion Potential


    Who May Apply

    This job is open to…

    Applications will be accepted from U.S. Citizens. Recent changes in Federal Appropriations Law requires Non-Citizens to meet certain eligibility criteria to be considered. Therefore, Non-Citizens must certify eligibility by signing and attaching this Citizenship Affidavit to their application. Non-citizens who do not provide the affidavit at the time of application will not be considered.

    Questions? This job is open to 1 group.

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    1529 Mathematical Statistics

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    Conditions Of Employment

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

    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.


    Candidates must have a Ph.D. with substantial coursework in research methodology, mathematical statistics, evaluation, or social science disciplines plus after award of the Ph.D., six or more years of successful research, research administration, and/or managerial experience pertinent to the position; OR a Master's degree with substantial coursework in research methodology, mathematical statistics, and social science disciplines plus after award of the degree, eight or more years of successful research, research administration, and/or managerial experience pertinent to the position.

    Formal education or equivalent experience with sophisticated survey and mathematical statistical techniques are necessary and must be sufficient to apply state-of-the-art statistical methods, data collection techniques, statistical sampling, imputation and analysis techniques, mathematical theory, and continuing quality improvement methods. Incumbent must have working knowledge and skills in personal computers and computer software such as SAS, Excel, and PowerPoint.

    The incumbent should have knowledge and experience in the design, planning, and operation of program evaluations and major data collection activities sufficient to assess the effect and potential ramifications of proposed evaluation options on existing data collection efforts and to judge when new data collection efforts are best suited to support proposed evaluations.

    The incumbent should possess originality and creativity to visualize mathematical statistics methodology in relationship to problems encountered in the survey work of NCSES as well as with clients outside of NSF's evaluation program. The incumbent must possess the ability to compute necessary sample sizes for evaluators to support statistically valid estimates for comparisons of the target population group to the control population. This should include the ability to estimate sample loss due to refusals, location problems, out of scope issues to arrive at the final necessary collected sample.

    The incumbent must have sufficient knowledge and expertise in the area of mathematical statistics to recognize and advise on the optimum design, development, and adaptation of mathematical methods and techniques to statistical processes in the solution to a variety of problems. To include the ability to combine survey data from several sources to develop a data set for subjects or a control group and to recommend frames for the control population.

    The incumbent must be able to communicate mathematical statistics principles and their underpinnings in clear, concise oral and written formats (including tables, charts, and graphics) to both the general public and to those with specialized knowledge in the area.

    The incumbent should have highly developed interpersonal skills in order to relate effectively to highly sophisticated clients within NSF, academia, and the government. The ability to handle sensitive situations (such as judging the adequacy of contractor performance and the performance of staff in the statistical and survey design areas) is needed. The ability to negotiate with others within and outside of NSF with respect to areas of responsibility is required.

    The position is outside of the competitive civil service.


    Additional 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 may be paid subject to funds availability.

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

    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. Demonstrated experience in applying principles, methods and techniques in disciplines such as economics, research design, survey methodology and statistics in order to plan, direct, and evaluate statistical data collections from the beginning design stage to final analysis. This includes experience in integrating administrative data and survey data.
    2. Demonstrated experience in developing or adapting mathematical statistical methods or approaches for application to various projects and/or statistical specialty areas such as experimental designs, variance estimation, statistical modeling, and sampling.
    3. Demonstrated knowledge of advanced analysis methods for statistical inference and modeling. Ability to apply appropriate statistical methods to complex evaluation projects and sample survey designs.
    4. Demonstrated experience in analyzing and summarizing statistical and survey data and other relevant scientific and/or administrative data to prepare reports, guides, and briefings for technical and non-technical audiences.
    5. Demonstrated experience managing and directing large-scale data collections (design, planning and implementation) through contractual arrangements, including the preparation and development of statements of work. This requires the ability to develop and maintain time schedules and track and interpret financial and budget information.
    6. Demonstrated experience working as a team leader or member on analytic or methodological projects and serving as a statistical advisor to internal staff on a wide variety of statistical or survey improvement projects.

    To preview questions please click here.

    Background checks and security clearance

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    Required Documents

    In order to be considered for federal appointments, Non-Citizens must affirm that they meet the Appropriations Law eligibility criteria by signing and attaching this Citizenship Affidavit to their application. Non-Citizens who do not provide the affidavit at the time of application will not be considered. Non-Citizens who are exempt from the Appropriations Law requirements due to their status as officers or employees of the U.S. government on December 16, 2009 must provide a statement with their application noting their exemption with documentation of proof of status as officers or employees of the U.S. government on that date.

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

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

    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.

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

    All faxing/uploading must be completed before 11:59 PM Eastern time on the vacancy closing date.If you are faxing your information, 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/uploaded document(s).

    If you are relying on your education to meet qualification requirements:

    Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education.

    Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating.

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    A career with the U.S. Government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding.

    A GREAT LOCATION! The National Science Foundation Headquarters is conveniently located across the street from the Eisenhower Avenue Metro Station, right in Alexandria, VA, a few miles from downtown Washington, DC. There are shops and restaurants within walking distance, as well as historic Old Town Alexandria a short trip away. Employees receive the
    Federal benefits package and NSF offers:

    Pre-tax parking
    Public transportation subsidy
    Child care subsidy
    Flexible working hours
    Physical Fitness Facility on site
    Health Services Unit on site
    Employee Assistance Program


    Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time, or intermittent. Contact the hiring agency for more information on the specific benefits offered.

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    How to Apply

    Your application must be submitted online and all document faxing/uploading must be completed before 11:59 PM Eastern time on the vacancy 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) 292-8044 for assistance.


    Agency contact information

    Dominique McCracken










    2415 Eisenhower
    Alexandria, Virginia 22314
    United States
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    Learn more about what it's like to work at National Science Foundation, what the agency does, and about the types of careers this agency offers.


    Next steps

    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.

Fair & Transparent

The Federal hiring process is setup to be fair and transparent. Please read the following guidance.

Equal Employment Opportunity Policy

The United States Government does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy And gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.

Reasonable Accommodation Policy

Federal agencies must provide reasonable accommodation to applicants with disabilities where appropriate. Applicants requiring reasonable accommodation for any part of the application process should follow the instructions in the job opportunity announcement. For any part of the remaining hiring process, applicants should contact the hiring agency directly. Determinations on requests for reasonable accommodation will be made on a case-by-case basis.

A reasonable accommodation is any change to a job, the work environment, or the way things are usually done that enables an individual with a disability to apply for a job, perform job duties or receive equal access to job benefits.

Under the Rehabilitation Act of 1973, federal agencies must provide reasonable accommodations when:

  • An applicant with a disability needs an accommodation to have an equal opportunity to apply for a job.
  • An employee with a disability needs an accommodation to perform the essential job duties or to gain access to the workplace.
  • An employee with a disability needs an accommodation to receive equal access to benefits, such as details, training, and office-sponsored events.

You can request a reasonable accommodation at any time during the application or hiring process or while on the job. Requests are considered on a case-by-case basis.

Legal and regulatory guidance

This job originated on www.usajobs.gov. For the full announcement and to apply, visit www.usajobs.gov/GetJob/ViewDetails/488559000. Only resumes submitted according to the instructions on the job announcement listed at www.usajobs.gov will be considered.