The Institute for Defense Analyses (IDA) is a Federally-Funded Research and Development Center supporting the Department of Defense (DoD) and other federal agencies. IDA’s mission is to provide objective analyses of national security issues and related national challenges, particularly those requiring extraordinary scientific and technical expertise. IDA takes great pride in the high caliber and timeliness of its analyses, which are produced in an atmosphere that encourages collaboration, independent thinking, and objective results.
IDA is seeking an Operations Research Associate to join the Cost Analysis and Research Division (CARD). An ideal candidate will enjoy working on diverse project teams and using a variety of analytic techniques to tackle an ever changing set of challenging questions related to government policy and our national defense.
The Cost Analysis and Research Division (CARD) at IDA engages in both traditional cost analysis and applied research on a broad range of topics involving resource allocation, forecasting, econometrics, and systems modeling. CARD researchers perform a wide variety of quantitative analyses that clearly illuminate the resource and outcome consequences of government decisions, policies, and actions. As studies often require a multi-disciplinary approach, CARD maintains a highly educated and diverse research staff with advanced degrees in many quantitative fields, including operations research, engineering, statistics, economics, mathematics, and the natural sciences.
· An M.S. in Operations Research, Systems Engineering, Applied Mathematics (or a similar field) is required.
· Demonstrated strong communications skills are essential.
· Ability to work effectively both independently and as part of small project teams is vital.
· Strong quantitative skills are critical, including the ability to apply advanced analytical techniques such as optimization, data mining, statistical analysis, and mathematical modeling.
· Experience working with data, including data collection, normalization, analysis, and visualization is highly desirable.
· Prior work experience or internships are preferable.
· Skills working with programming languages (e.g., R, Python) are a plus.
Application must be submitted online at https://chu.tbe.taleo.net/chu01/ats/careers/v2/viewRequisition?org=INSTITUTEDA&cws=39&rid=1732
(Handshake applications will not be considered, you must apply on our website)