The Operational Evaluation Division (OED) has an immediate career opening for an Analyst to support the U.S. Navy and U.S. Air Force focused on Sustainment and Readiness analysis and modeling. IDA takes great pride in the high caliber and timeliness of its analyses, which are produced in an atmosphere that encourages independent thinking and objective results. Work at IDA is conducted in a team environment and often involves a multi-disciplinary approach.
The Analyst will conduct high-visibility analyses to support and advise mid- and senior-level civilian and military officials on issues affecting the operational availability and sustainment of Navy and Air Force weapons systems. In particular, the successful candidate will contribute to major studies that affect investments in improving the readiness of weapon systems. The Analyst’s efforts will be focused on data-intensive analyses, developing better mathematical and analytical models, as well as building and using discrete-event simulations to answer major programmatic issues for senior military leadership. The analyst will analyze maintenance, supply, operational, and cost data and apply data science methodologies to the Department of Defense’s data systems for supply management, maintenance tracking, personnel, budgets, and contracting. The analyst’s efforts will focus on developing novel and rigorous approaches, including visual displays appropriate for highlighting major issues and courses of action for the senior DoD leadership. The Analyst will work closely with government officials from multiple organizations and at varying levels of seniority to better understand the DoD data environment, and will communicate findings and recommendations to an audience with diverse backgrounds and levels of analytical training. Occasional travel is expected.
- Candidates must have a Doctoral degree in a physical science (such as Physics, Astronomy, Chemistry, Applied Mathematics, Engineering, or Material Science), Operations Research, Statistics, Data Science or an interdisciplinary program that encompasses one of these areas of focus.
- Candidates must have experience with computer programming for data processing and analysis. Experience with one of the following programming languages is desired but not required: R, Python, MATLAB.
- Experience in sustainment, logistics or readiness modeling is desired but not required.
- Strong communications skills are essential.
- Quantitative skills are critical, as is the ability to analyze and visualize data.
U.S. Citizenship is required
Ability to obtain and maintain a security clearance is required
Equal Opportunity Employer