MINIMUM QUALIFICATION REQUIREMENTS:
Basic Entry Requirements for All Grade Levels:
A. Degree: that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. OR
B. Combination of education and experience - courses shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, b) collection, computing and analyzing data, and c) applying statistical techniques such as measurements of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance. The quality of the combination of education and experience must be sufficient to demonstrate that the applicant possesses the knowledge, skills, and abilities required to perform work in the occupation, and is comparable to that normally acquired through the successful completion of a full 4-year course of study with a major in the appropriate field.
GRADE LEVEL REQUIREMENTS: In addition to meeting the Basic Entry Requirements above, applicants must have the experience listed below.
GRADE:07 At least 1 year of specialized experience equivalent to the GS-05 level is required. Examples of such specialized experience include: applying standard statistical methods and analyses such as measures of central tendency and dispersion; and collecting data for surveys or studies. OR
You have superior academic achievement, which is defined as one (or more) of the following: Membership in a national honor society; graduating in the upper 1/3 of the class; earning an undergraduate grade point average (GPA) of at least 2.95 (on a 4.0 scale) in the final 2 undergraduate years completed; earning a cumulative undergraduate GPA of at least 2.95; earning an undergraduate GPA of at least 3.45 in the major field of study during the final 2 undergraduate years completed; or earning a cumulative undergraduate GPA of 3.45 in the major field of study. OR
You have one full year of progressively higher-level graduate education.
GRADE:09 At least 1 year of professional work experience equivalent to the GS-7 level is required. Examples of such specialized experience include: 1) assisting in the design and development of specifications for data collection and data processing requirements for statistical studies and surveys, 2) applying advanced statistical analytical tools such as regression analysis and measures of variance to socio/economic and demographic data, and 3) assisting in the development of professional papers or reports on such data. OR
You have completed two years of progressively higher level graduate education leading to a master's degree or you have a master's degree or equivalent graduate degree.
GRADE:11 At least 1 year of professional work experience equivalent to the GS-9 level is required. Examples of such specialized experience include: designing and developing specifications for data collection and data processing requirements, operating procedures, training materials, and operational schedules for statistical studies and surveys; applying advanced statistical analytical tools such as regression analysis and measures of variance to socioeconomic and demographic data, and assisting in the development of professional papers or reports; and coordinating field data collection activities for large scale statistical surveys. OR
You have 3 full years of progressively higher level graduate education leading to a doctoral degree or you have a Ph.D. degree or equivalent doctoral degree.
GRADE 12: At least 1 year of professional work experience equivalent to the GS-11 level is required. Examples of such specialized experience include: leading a team to plan a statistical survey or study; developing survey and data collection specifications and establishing time schedules for various phases of survey operations; establishing analytical methodology, design sampling and estimation procedures for surveys, and documenting work results and findings; and planning the analysis of the socioeconomic or demographic data developed by the survey or study.Education cannot be substituted for experience at this grade level.
Applicants must meet all qualification requirements by the closing date of this announcement.
HOW YOU WILL BE EVALUATED:
We will review your resume, optional cover letter and supporting documentation (transcripts if applicable) to determine if you meet the minimum qualifications for the position. If you meet the minimum qualifications stated in the vacancy announcement, we will compare your resume, optional cover letter and supporting documentation to your responses on the scored occupational questionnaire that you completed as part of the application and place you in one of three pre-defined categories. These categories are "gold," "silver," and "bronze." However, your resume and/or optional cover letter must support your responses to the occupational questions, or your score will 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. Preference eligibles with a service-connected disability of 10% or more will be listed at the top of the highest quality category (gold) for all positions except for Professional and Scientific positions at the grade 9/ band II and above.
The scored occupational questionnaire will evaluate you on the following competencies; please do not provide a separate written response:
1) Knowledge survey methods such as survey research, sampling, questionnaires, and data collection used to conduct surveys.
2) Knowledge of statistical software packages.
3) Knowledge in leading and motivating a team; skill in interviewing applicants, making selections, and proposing performance and conduct related activities; ability to review and approve time and attendance and leave for subordinate staff.
4) Ability to complete projects under a tight deadline; ability to work with teams to accomplish goals.
5) Ability to communicate technical and non-technical information to a variety of audiences.
6) Ability to analyze factual information and evaluate significant factors in order to resolve complex problems based on statistical data.
7) Knowledge of data collection or analysis to write reports outlining progress or results of surveys.
8) Ability to present data or results to a variety of audiences. To preview questions please click here.