The Operations Research Scientist is responsible for developing advanced decision technologies, analytical methods and tools for the management, planning, and optimization of University operations, strategies and student learning.
• Ph.D. in Industrial Engineering & Operations Research, Statistics, Mathematics, Management Science or other management/quantitative discipline required
• Minimum 3 years hands-on experience in mathematical/statistical model building for business operations management.
• Minimum of 2 years’ Experience in C++, C#, or Java programming, so as to call solver libraries.
• Minimum of 3 years of experience with Microsoft SQL Server and statistical modeling software, such as SAS Enterprise Guide, SAS Enterprise Miner, R Studio, SPSS Modeler, or JMP
• Mathematical/statistical skills include regression analysis (linear, logistic, parametric), survival models, forecasting models, factor/component analysis, optimization (linear, integer, mixed-integer, quadratic, combinatorial programming), decision trees, segmentation and cluster analysis, and pattern recognition.
• Proficient in statistical programing tools, such as SAS, R, SPSS or Matlab programming.
• Experience in using optimization solver libraries, such as CPLEX, AIMMS or frontline Solvers.
• Excellent verbal and written communication skills to effectively interact with internal and external customers and department staff. Must be able to follow verbal directions and instructions from the management to perform project work.
• Knowledge of applicable business and learning systems, in conjunction with proficient knowledge in operations research techniques.