CONTD FROM H.10B building mathematical models and algorithms to solve Operations Research problems in logistics, economics, or finance applications.br br Education and Experiencebr br Masters degree or foreign education equivalent in Engineering, Accounting, Economics, Finance, Statistics, Mathematics, or a closely related field and three 3 years of experience in the job offered or three 3 years of experience building mathematical models and algorithms to solve Operations Research problems in logistics, economics, or finance applications.br br Or, alternatively, PhD or foreign equivalent in Engineering, Accounting, Economics, Finance, Statistics, Mathematics, or a closely related field and no experience.br br Skills and Knowledgebr br Candidate must also possessbr br Demonstrated Expertise DE performing data and statistical analysis using Excel, Python, or R; and performing data extraction to build analytical models for optimization, using SQL queries against relational databases.br br DE building combinatorial optimization and knapsack models using linear programming, mixed integer programming, stochastic optimization, and nonlinear programming concepts.br br DE writing programs and routines for algorithm and heuristics design genetic algorithm, simulated annealing, antcolony optimization, neighborhood search, Lagrangian relaxation, and column generation, in Python, MATLAB, or VBA.br br DE implementing largescale optimization models on commercial solvers Gurobi or CPLEX, using vector algebra and matrix manipulation techniques.br br Expertise may be gained during doctoral program
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