operations research scientist

Published date: October 31, 2015
  • Location: United States

Apollo education group is looking for operations research scientist.

Job Description:

Participate in the execution of the R&A (Reporting & Analytics) department research agenda by conducting qualitative and quantitative analysis on data from existing databases, observations, and business processes.
Apply advanced analytical, statistical and/or optimization methods related to project work.
Design, implement, and communicate results of research projects consistent with the mission and research agenda of the R&A.
Contribute substantially in preparing reports and presentations on research findings both externally and internally.
Develop a plan for publishing and presentation of findings via scholarly journals and conferences.
Synthesize relevant research literature.
Performs other duties as assigned or apparent.
Responsibilities:
With an understanding and knowledge of applicable business systems and industry requirements, in conjunction with proficient knowledge in Operations Research techniques, this position is responsible for developing and devising advanced decision technologies, analytical methods and tools for corporate financial services management, planning and optimization.
With minimal direction, this position reviews and recommends changes to existing business analysis procedures and methods by incorporating Operations Research techniques.
Provide expert perspective on modeling approach, technique and tools in resolving the business problem.
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.
Research latest technique and tools to continuously enhance the discipline.
Qualification/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 buildings, with financial services experience preferred.
Required 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 programming skills in SAS or Matlab.
Proficient programming skills in C++, C#, or Java.
Experience in using optimization solver libraries with AMPL, C++, C# or Java.
Knowledge of statistical software (SAS Enterprise Guide, SAS Enterprise Miner, JMP or SPSS) and SQL Server.
Team player.


Employment Type: Full Time
Minimum Experience: Student (High School)

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