Operations Research Analyst

WHAT IS DATA AND ANALYTICS? A description of the business units can be found at: https://(Use the "Apply for this Job" box below).-divisions

Position(s) are to be filled in the following area(s):
Data and Analytics (DAO)- Research, Applied Analytics & Statistics (RAAS)

REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILS Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of full‑time work is considered; part‑time work is prorated.
To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.

You must meet the following requirements by the cut‑off date as shown in the announcement under the "

How to Apply

" section.

A degree 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.

The primary requirement of operations research work is competence in the rigorous methods of scientific inquiry and analysis rather than in the subject matter of the problem. Therefore, applicants should have sufficient knowledge of applied mathematics to understand and use the fundamental concepts and techniques of operations research methods of analysis. In addition, some positions may require knowledge of a specific subject area.

Courses acceptable for qualifying for operations research positions may have been taken in departments other than Operations Research, e.g., Engineering (usually Industrial Engineering), Science, Economics, Mathematics, Statistics, or Management Science. Illustrative courses include optimization, mathematical modeling, queueing theory, engineering, physics (except descriptive or survey courses), econometrics, psychometrics, biometrics, experimental psychology, physical chemistry, industrial process analysis, managerial economics, computer science, measurement for management, mathematical models in social phenomena, and courses that involved application of operations research techniques and methodologies to problems of management, marketing, systems design, and other specialized fields.

In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS‑09 grade level in the Federal service. Specialized experience for this position includes:

• Experience with mathematical reasoning/statistical project assignments that require operations research requirements and techniques.
• Experience utilizing mathematical methods and scientific principles to develop a variety of mathematical models and provide management with solutions or recommendations.
• Experience using multivariate techniques and pertinent mathematical, simulation, economics, econometric and statistical operations research techniques.
• Experience researching and gathering data from a variety of sources and using it to analyze technical projects and program areas.
• Experience using negotiation and conflict resolution techniques to collaborate in a team environment.
• Experience using oral and written techniques to develop, prepare presentations and deliver briefings, and experience managing/leading teams to develop analysis and final deliverables.
• Experience with a declarative, set‑based query language for managing and manipulating data in relational databases (examples include SQL) or an object‑oriented programming language for data analysis (examples include Python, R, SAS).

OR

Education:

You may substitute education for specialized experience as follows:
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…