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Position: Operations Research Scientist
Institution: University of Phoenix
Location: Phoenix, Arizona, United States
Duties: Participate in the execution of University business analytics and learning analytics projects by conducting qualitative and quantitative analysis and build analytical models on data from existing databases, observations, and business and learning processes. Implement innovative decision technologies and solutions for business planning, management and optimization projects that are consistent with the University’s mission and business agenda/needs
Requirements: 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
   
Text: Opportunity Details Overview 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. Responsibilities Participate in the execution of University business analytics and learning analytics projects by conducting qualitative and quantitative analysis and build analytical models on data from existing databases, observations, and business and learning processes. Implement innovative decision technologies and solutions for business planning, management and optimization projects that are consistent with the University’s mission and business agenda/needs. Excel in applying advanced analytical, statistical, simulation and/or optimization methods that are related to project work. Provide sound perspective on modeling approach, technique and tools in resolving the business problem. Contribute in preparing reports and presentations on research findings and communicate project results both externally and internally. Based on final model output and findings, may advise the management and project stakeholders on the appropriate course of actions to take for the project objectives. May assist business groups in program or procedure evaluation, review, and implementation. Develop plans for and participate in publishing and presentation of research findings via scholarly journals and conferences in the field. Maintains and increases professional and technical knowledge and currency via self-research and by attending conferences, workshops and training, reviewing journal publications, establishing personal networks, and participating in professional societies. Researches latest techniques and tools to continuously enhance the discipline. Performs other duties as assigned or apparent. Qualifications Basic Requirements: • 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 Additional Qualifications: • 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. Company University of Phoenix Job Family Academic Affairs Virtual Eligible No Requisition ID 2017-9202 Position Type Full-Time Job Locations US-AZ-Phoenix
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