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发帖数: 88 | 1 【 以下文字转载自 Working 讨论区 】
发信人: yunho (likeyostyle), 信区: Working
标 题: job opening in Phoenix, AZ (Apollo Group Inc)
发信站: BBS 未名空间站 (Tue Aug 16 18:34:50 2011, 美东)
Position Title: Operations Research Scientist
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.
Contact: Dr. Roger R. Gung, r********[email protected] |
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