Research Mathematical Statistician, GS-1529-12, Census-DE-SM
Relocation expenses reimbursed Yes relocation expense maybe paid
Applicants must meet all qualification requirements by the closing date of this announcement.Minimum Education Requirement: Basic Entry Requirements for All Grade Levels:
Degree: You must have a bachelor's degree from an accredited college or university OR a combination of education and experience equivalent to the completion of a bachelor's degree. Studies must have included at least 24 semester hours of mathematics and statistics, 12 of which must be in mathematics and 6 of which must be in statistics.
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.
Ph.D or equivalent doctoral degree
GRADE LEVEL REQUIREMENTS:
In addition to meeting the Basic Entry Requirements above, applicants must have the experience listed below.
For GS-12, you must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-11 level. Specialized experience for this position includes providing expert advice and consultation on statistical and data related projects; planning, development, and research with peer-reviewed published results, evaluation and execution of assignments which were of significance and importance; applying a comprehensive knowledge of mathematical statistical research being done by others in related fields; and consultation on a variety of problems involving the theory or application of mathematical statistical methods and applications to data.
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
The following links provide information on various hiring authorities that may enable you to apply through merit assignment procedures, or be eligible for a non-competitive appointment.
You will be evaluated for this job based on how well you meet the qualifications above.
Your resume, optional cover letter and supporting documentation will be reviewed to determine if you meet the minimum qualifications for the position. If you meet the minimum qualifications stated in the job opportunity announcement, we will compare your resume, optional cover letter and supporting documentation to your responses on the scored occupational questionnaire (True/False, Yes/No, Multiple Choice questions) and place you in one of three pre-defined categories. These categories are "gold," "silver," and "bronze." Your resume and/or optional cover letter must support your responses to the scored occupational questionnaire, or your score may be lowered. Candidates placed in the "gold" category will be identified for referral to the hiring manager and may be invited for an interview.
How you will be evaluated for preference eligibility: Within each category, those entitled to veterans' preference will be listed at the top of the pre-defined category for which they are placed.
The scored occupational questionnaire will evaluate you on the following competencies; please do not provide a separate written response:
The following competencies are desirable at the full performance level of this position GS-12.
- Ability to work with staff in the center projects that apply to several programs.
- Ability to define complex and important problems and develop plans and new methodology for solving them collaboratively.
- Knowledge in an area of statistics dealing with data collection, data processing, data analysis, data dissemination, statistical modeling, sampling, estimation, small area estimation, statistical computing, computer science, machine learning, operations research, record linkage, simulations, or experimentation.
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