At ITA International, we’re a tech-enabled professional services company. Headquartered in Newport News, Virginia, we leverage subject matter expertise, data analytics and technology to challenge boundaries and transform possibilities. With a global presence and a passionate team of over 300 ITAers, we’re driven by mission success for our customers, “In The Arena.” Our expertise spans Operations, Training, Engineering, Nanotechnology, Statistics, Machine Learning and Software Engineering – enabling data and tech-enabled solutions that deliver real value. Join our impactful journey at ITA International. As Theodore Roosevelt said, “The credit belongs to the man who is actually in the arena.” We’re here, standing beside our customers, ready to serve and succeed. ITA is seeking an Operations Research Analyst to join the team at Fort Meade in Annapolis Junction, MD. Responsibilities
The Operations Research Analyst analyzes management and operational problems and formulates mathematical or simulation models of problems for solution by computers or other methods. They define data requirements, gather and validate information, as well as apply judgment and statistical tests. The Operations Research Analyst performs verification and testing of model to ensure adequacy, or determines the need for reformulation. They also prepare reports defining the problem, evaluation, and possible solutions. The analyst also assists in evaluating implementation and effectiveness of research. In addition, they assist in the design, conduct and evaluation of operational models where limited data exists to formulate a model. On occasion, the Operations Research Analyst will develop technical trainings to help enrich the skills set of the client personnel as well as help support other project teams. The analyst will also conduct data elicitation sessions and project scoping meetings as needed. Lastly, the analyst prepares summary briefings that describe project problem statements, modeling approaches and proposed solutions as well as participate in regular customer engagement. Qualifications
The ideal candidate must have a TS/SCI security clearance. The candidate must also have 1 of the following backgrounds: Bachelors degree from an accredited college or university in Operations Research, Industrial Engineering, or Management Science. At least ten (10) years of experience in conducting analyses of management and operational problems using Operations Research techniques is required; or
Master’s degree from an accredited college or university in Operations Research, Industrial Engineering, or Management Science. At least eight (8) years of experience in conducting analyses of management and operational problems using Operations Research techniques is required; or
Doctorate degree from an accredited college or university in Operations Research, Industrial Engineering, or Management Science. At least six (6) years of experience in conducting analyses of management and operational problems using Operations Research techniques is required.
Other preferred skills include the following: At least four (4) years' experience in the application of M&S to Decision Analysis problems;
At least four (4) years' experience in the application of M&S to Cost/Benefit Analysis problems;
At least four (4) years' experience in using at least five (5) of the these: R, Python, EXCEL/VBA, ARENA, OCTAVE, Tableau, Gurobi/CPLEX, EXTEND SIM, SAS, NETICA, statsmodels, Stata, MATLAB, SPSS.
Experience leading a project team of 2 people or more
Experience in a few of the following areas:
Gathering data needed to run models
Developing mathematical or simulation modeling prototypes
Preparing reports defining the problem, its evaluation, and possible solutions
Designing and evaluating operational models where limited data is available
Proposing potential mathematical or simulation modeling approaches to be applied to a specific problem
Conducting analyses of management and operational problems
Formulating mathematical or simulation models of problems for solution by computers or other methods
Applying statistical tests to validate information