OPERATIONS RESEARCH ANALYST

Who May Apply: Only applicants who meet one of the employment authority categories below are eligible to apply for this job. You will be asked to identify which category or categories you meet, and to provide documents which prove you meet the category or categories you selected. See Proof of Eligibility for an extensive list of document requirements for all employment authorities.

• Interagency Career Transition Assistance Plan

In order to qualify, you must meet the education and experience requirements described below. 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). You will receive credit for all qualifying experience, including volunteer experience. Your resume must clearly describe your relevant experience; if qualifying based on education, your transcripts will be required as part of your application. Additional information about transcripts is in this document.

Basic Requirement for Operations Research Analyst:

Degree: Bachelor's degree (or higher degree) in operations research; or a degree with at least 24 semester hours in a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence in college-level mathematics or statistics. At least 3 of the 24 semester hours must have been in calculus.

You MUST submit a copy of your transcript with your application package or you will be rated ineligible.

In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below:

GS 11: To qualify for the GS-11 level, all applicants must possess at least one full year of specialized experience equivalent to at least the next lower grade level (GS-09): 1) Evaluating mathematical, statistical, econometric, OR other scientific methods to perform a variety of Cost or Data Analyses; 2) Assisting in Collecting, normalizing OR analyzing data to conduct economic analysis; OR 3) Assisting in the development of independent cost estimates (ICE)

OR

Successfully completed 3 years of progressively higher level graduate education leading to a Ph.D. degree or Ph.D. or equivalent doctoral in a field which demonstrates the knowledge, skills, and abilities necessary to perform the work of the position, such as Engineering (usually Industrial Engineering), Science, Economics, Mathematics, Statistics, or Management Science. (Note: You must attach a copy of your transcripts.)

OR

Have a combination of graduate education and experience (to calculate, add the total qualifying education as a percentage (described in B.) to the total the qualifying experience as a percentage (described in A.); the total percentage must equal at least 100 percent to qualify-transcripts are required).

GS 12: To qualify for the GS-12 level, all applicants must possess at least one full year of specialized experience equivalent to at least the next lower grade level (GS-11):):1) Formulating, defining, OR interpreting scientific methods to perform a variety of Cost or Data Analysis; 2) Analyzing data to conduct economic analysis concepts and methodologies; OR 3) Developing independent cost analyses.

GS 13: To qualify for the GS-13 level, all applicants must possess at least one full year of specialized experience equivalent to at least the next lower grade level (GS-12): 1) Provide guidance on mathematical, statistical, econometric, OR other scientific methods to perform a variety of Cost or Data Analyses; 2) Implementing cost OR economic analysis concepts for new applications such as standardized practices, processes, OR technical tools; AND 3) Reviewing cost analyses and independent cost estimates (ICE) to ensure accuracy.


You will be evaluated on the basis of your level of competency in the following areas:

• Communications
• Cost Estimation and Analysis
• Scientific Research
• Technical Credibility