Senior Mathematical Statistician
Occasional travel - Occasional travel may be required.
Relocation expenses reimbursed No
You must meet all qualification requirements before the announcement closes.In addition to basic requirements, applicants must have 1 year (52 weeks) of specialized experience at the next lower band level, or equivalent to the GS-12 grade level in the Federal service, which has equipped the applicant with the skills and knowledge to successfully perform the duties of the position. Specialized experience is defined as practical and theoretical experience performing multivariate modeling, sampling, estimation, and other statistical analysis independently, to meet overall objectives.
You must meet all qualifications requirements BEFORE the closing date of this announcement.
This position has a positive education requirement. Documentation to verify your education MUST be submitted with your application in order to be considered.
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.
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.
For more information on the qualifications for this position please visit the following link:
**YOU MUST SUBMIT A COPY OF YOUR TRANSCRIPT SHOWING THIS COURSEWORK. FAILURE TO DO SO WILL RESULT IN AN INELIGIBLE RATING.**
This is a bargaining unit position.
Based on the staffing needs, additional selections may be made through this vacancy announcement.
Selectee may be required to file a Financial Disclosure Statement. (if applicable)
Travel and relocation expenses will not be paid for by the GAO.
Males born after 12/31/59 and at least 18 years of age must be registered with the Selective Service System. Visit http://www.sss.gov/.
Please be aware that applicants will be required to complete questions contained on the Declaration for Federal Employment (OF-306) at the time a tentative job offer is made. If selected, at the time of appointment, selectees will be required to update the OF-306.
If you are selected for this position, you will be subject to a determination of your suitability for Federal employment.
The U.S. Government Accountability Office’s policy is to provide equal employment opportunity for all regardless of race, religion, color, sex (including pregnancy), national origin, age, disability, genetic information, sexual orientation, or gender identity.
The U.S. GAO is part of the Legislative Branch of the Federal government. As such, all positions are in the excepted service. Initial appointments, permanent or indefinite, to the GAO require completion of a two-year probationary period.
You will be evaluated for this job based on how well you meet the qualifications above.
The questionnaire will assess your qualifications for the job. If you meet all of the qualification requirements, your application will be placed in one of three categories: Best Qualified, Well Qualified, or Qualified. Within these categories, applicants eligible for veteran's preference will receive selection priority over non-veterans. Please make sure that your responses to the assessment questions are supported in your resume. Follow all instructions carefully as incomplete answers, errors, or omissions may affect your rating. Your rating will be invalid if you fail to include a narrative reply to any vacancy question(s) that requires further explanation or your reply is "see resume."
All applicants will be rated on the following Knowledge, Skills and Abilities (KSA’s) or competencies:
- Knowledge of advanced mathematical statistical techniques, theories and practices relevant to analyses using a variety of modeling methods including multivariate, regression, hierarchical linear models, factor analysis, time series, spatial analyses, or complex sample design and estimation.
- Skill in using statistical software such as SAS, Stata, or R to perform complex statistical analysis.
- Skill in developing and applying appropriate statistical analyses such as least squares, maximum likelihood, Bayesian modeling, estimation, and computing methods; predictive modeling; logistic or other generalized linear models, and robust regression.
- Skill in developing and applying appropriate statistical methodologies for developing complex survey sample designs or other multivariate statistical analyses.
- Skill in selecting, organizing, and presenting appropriate information in a concise and balanced manner and to communicate such information to target audiences.
- Ability to work effectively as part of interdisciplinary teams.
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