Mathematical Statistician

Alexandria, Virginia
Feb 21, 2018
Feb 21, 2018
Full Time
Relocation expenses reimbursed Yes "Relocation expenses MAY be paid subject to funds availability".

  • 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.

    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.

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    You will be evaluated for this job based on how well you meet the qualifications above.

    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.

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