Lockheed Martin is seeking an Operations Research and Systems Analyst (ORSA) to work in a dynamic and challenging environment. We are seeking candidates who can use rational, systematic, science-based techniques, advanced analytical methods, and critical thinking to inform and improve decision-making for complex processes or systems. In addition, candidates are required to have a working knowledge of ORSA concepts, analytic techniques, and methodologies such as mathematical modeling, statistical analysis, mathematical optimization, simulation, stochastic-process models, expert systems, decision analysis, and cyber experience. 

Responsibilities include:
- Conduct problem identification and requirements analysis
- Develop risk reduction strategies / mitigation plans
- Fully document existing processes, project improvements, and analytical results
- Develop and document advanced analytical methods (i.e. data mining, statistical analysis, and mathematical models) to improve analytic tradecraft
- Apply decision analysis methods to evaluate current and future programs
- Conduct analysis, organize data, and provide overall ORSA support to line of business programs
- Develop threat, risk and mitigation models
- Develop framework for and perform prioritization of tools, data, and processes
- Research and document process workflows and data flows
- Develop predictive analysis methods
- Simulate the flow of data or events through analytic process workflows to identify process or resource constraints
- Participate in team building research efforts and sharing of analytical techniques and research methodologies.

Basic Qualifications:
- Bachelors Degree from an accredited college in Operations Research, Operations Analysis, Science, Technology, Engineering, Math, Physics, or Statistics; and/or equivalent experience
- Active DoD Secret clearance will be required for this position and the ability to obtain a Top Secret clearance.
- Experience in computer-based analytical tools and office applications (especially MS Office suite).
- Proficient in at least one computer programming language.
- Knowledge and experience in preparing and delivering oral and written presentations.