Utilizes several study techniques including simulation, linear and nonlinear programming, dynamic programming, queuing and other stochastic-process models, Markov decision processes, econometric methods, data envelopment analysis, neural networks, expert systems, decision analysis, and the analytic hierarchy process. The candidate must be comfortable coordinating with Engineering, GIS, permitting teams, vendors, and project stakeholders to resolve outstanding issues and ensure timely project closure.