United Airlines, Inc. is looking to solve management problems through quantitative analysis and analytical models using operations research, machine learning, and structured programming languages.
Requirements
- At least 3 of the following mathematical programming techniques: Linear Programming (LP), Non-Linear Programming (NLP), Integer Programming (IP), and Mixed Integer Programming (MIP)
- Model prototyping through use of optimization toolkit(s) including CPLEX, AMPL, or OPL
- C, C++, Java, R, Python, or other structured programming language
- Decomposition techniques including Benders and Lagrangean decomposition, algorithms including column generation, gradient descent, and branch and price, and transformation of nonlinear programs
- Handling large data sets (more than 100,000 elements) for use in operations research problems
- Developing heuristic algorithms to solve operations research problems
- Operations Research, Industrial Engineering, or related field
Responsibilities
- Develop the approach and methods to define and solve management problems through quantitative analysis and analytical models using operations research, machine learning, and structured programming languages.
- Build and develop operations research/optimization mathematical models and provide client support.
- Participate in model design, prototype, and model development for several efforts that occur simultaneously and interface with product delivery groups.
- Identify, research, or solve large complex problems using big data, operations research, and machine learning principles.
- Design analytic plan/develop hypotheses to test and understand limitations of analysis (what it can and cannot be used for).
- Keep informed about the latest analytical methods and research.
- Communicate results to management and clients.
Other
- PhD degree, ABD, or dissertation in Operations Research, Industrial Engineering, or related field
- Must be legally authorized to work in the United States for any employer without sponsorship
- Required to work in the office, 233 S Wacker Dr, Chicago, IL 60606, at least 3 days per quarter
- Expenses for accommodation and travel are the employees responsibility
- Telecommuting permitted from anywhere in the U.S.
