Operations Research Analyst
Internal Revenue Service - Lanham-Seabrook, MD

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DUTIES

As an Operations Research Analyst you will:
Lead complex studies and define problems involved, formulate overall concepts, evaluating findings and recommending solutions.

Oversee the selection and application of mathematics, economics, econometrics and statistics appropriate to solving operations research problems.

Conduct operation research identifying the probable causes of cost/workload variances and procedures.

Ensure that project and study teams use appropriate operations research and analytical techniques.

Describe and document the analyses of research studies and projects and the general sharing of information of overall staff efforts, using effective oral and written communications.

Identify mathematical applications to improve existing programs; determining the types of data to be collected, formulating study methodologies, assisting functional activities in the implementation of operational segments and analyzing data.

Provide technical guidance and coordinate efforts involved in carrying out various aspects of assignments, the design of samples and experiments, and design of evaluation and program monitoring techniques.

Monitor, evaluate and document the results of project studies and prepare final recommendations.

QUALIFICATIONS

You must meet one or more of the following basic requirements by the closing date of this announcement.

BASIC REQUIREMENTS:
A Bachelor’s degree from an accredited college or university in operations research; or 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.

GS-9 LEVEL: In addition to meeting the basic requirements, you must have

At least one (1) year of specialized experience equivalent to the GS-7 level that demonstrated knowledge of operations research. The assignments must have shown completion of the following, or the equivalent:
A) Experience utilizing basic knowledge of mathematical methods and scientific principles to accomplish studies and utilize mathematical models.
B) Conducting research and gathering pertinent data from a wide variety of sources. OR

A master’s or equivalent graduate degree in a field of study such as: operations research; or a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence as described in the basic requirements. OR

Two (2) full years of progressively higher level graduate education leading to a master’s or equivalent graduate degree in a field of study such as: operations research; or a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence as described in the basic requirements. OR

A combination of graduate education and experience as described above.

GS-11 LEVEL: In addition to meeting the basic requirements, you must have:

At least one (1) year of specialized experience equivalent to the GS-9 level that demonstrated accomplishment of mathematical reasoning/statistical project assignments that required a range of knowledge of operations research requirements and techniques. For example, assignments would show a good understanding of operations research processes, procedures, and rules. Accomplishments normally involve the following, or the equivalent:
A) Experience utilizing knowledge of mathematical methods and scientific principles in order to accomplish studies, develop a variety of mathematical models and provide management with solutions or recommendations.
B) Experience utilizing basic knowledge of multivariate techniques and knowledge of pertinent mathematical, simulation, economics, econometric and statistical operations research techniques.
C) Researching and gathering data from a wide variety of sources, and use it to analyze technical projects and program areas. OR

Three (3) full years of progressively higher level graduate education leading to a Ph.D or equivalent doctoral degree in a field of study such as: operations research; or a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence as described in the basic requirements. OR

A Ph.D. or equivalent doctoral degree in a field of study such as: operations research; or a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence as described in the basic requirements. OR

A combination of graduate education and experience as described above.

GS-12 LEVEL: In addition to meeting the basic requirements you must have at least one (1) year of specialized experience equivalent to the GS-11 level. Qualifying experience is experience that demonstrated accomplishment of operations research project assignments that required a wide range of knowledge of mathematical reasoning requirements and techniques pertinent to the position to be filled. This knowledge is generally demonstrated by assignments where the applicant analyzed a number of alternative approaches in the process of advising management concerning major aspects of mathematical methods and scientific principles utilized to accomplish complex studies to provide management with viable solutions or recommendations.

GS-13 LEVEL: In addition to meeting the basic requirements you must have at least one (1) year of specialized experience equivalent to GS-12 level. Qualifying experience is experience that demonstrated accomplishment of operations research project assignments that required a wide range of knowledge of mathematical reasoning requirements and techniques pertinent to the position to be filled. This knowledge is generally demonstrated by assignments where the applicant analyzed a number of alternative approaches in the process of advising management concerning major aspects of complex mathematical methods and scientific principles utilized to accomplish complex studies to measure program effectiveness and efficiency and to identify probable causes of cost/workload variance.

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