Advanced degree (PhD or ABD) in Operations Research or quantitative discipline
Experience with mathematical programming techniques
Proficiency in optimization toolkits (e.g., CPLEX, AMPL)
Proficient in programming languages (C, C++, Java, R, Python)
Strong communication and interpersonal skills
Proficient in MS Office suite
Responsibilities
Develop methods to solve management problems through quantitative analysis
Identify and research complex issues using big data and operations research
Implement operations research solutions for significant business improvement
Build and support optimization mathematical model applications
Participate in simultaneous model design and development efforts
Design analytical plans and test hypotheses effectively
Communicate analytical results and build presentation decks
Benefits
Ongoing professional development opportunities
Engagement in innovative projects that influence business decisions
Collaboration with cross-functional teams for diverse perspectives
Exposure to cutting-edge analytical methods and research
Flexible working environment fostering work-life balance
Full Job Description
Description
Job overview and responsibilities
Provides mathematical modeling and analysis services to support critical financial, operational, and/or strategic planning decisions and engages in supporting project teams in value added activities that generate practical solutions to complex business problems, explores new business alternatives, and drives improvement in business decision
Develops 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
Identifies, researches, or solves large complex problems using big data and operations research and machine learning principles
Leverages understanding of the business process to identify and implement operations research solutions that will result in significant bottom-line contributions
Builds and develops operations research/optimization mathematical model applications, and provides client support leveraging operations research knowledge
Participates in model design, prototype, and model development for several efforts that occur simultaneously, and interfaces with product delivery groups
Raises concerns when scope of analysis may not align with time available and can choose an appropriate scope of analysis to conduct balancing ROI to time available
Designs analytic plan/develop hypotheses to test; understands limitations of analysis (what it can and cannot be used for)
Anticipates working team questions to data and approach
Identifies solution quality risks and on-time risks
Understands the business value, process, and expectations before focusing on choice of a technical solution
Understands the intuition behind the numbers (i.e. does it make sense?)
Provides on-going analytical services to client organizations
Communicates results to management and clients
Contributes deck content and builds the story for the deck with guidance to summarize findings
Develops and delivers presentations aligned with Ai standards
Speaks in a manner appropriate for working team and their level +1
Keeps informed about the latest analytical methods and research in the operations research and analytics fields
Qualifications
What's needed to succeed (Minimum Qualifications):
Advanced degree (PhD or ABD) in Operations Research or other related quantitative discipline involving quantitative analysis and application of advanced operations research principles
Coursework or work experience with mathematical programming techniques
Coursework or work experience in model prototyping through use of optimization toolkit(s) including CPLEX, AMPL, or OPL
Coursework or work experience with C, C++, Java, R, Python, or other structured programming language
Good business, technical, verbal/written communication, presentation and sales skills. Adaptability to changing business environment
Good interpersonal skills and ability to interact with clients
Proficient with MS Office
Successful completion of interview required to meet job qualification
Reliable, punctual attendance is an essential function of the position
What will help you propel from the pack (Preferred Qualifications):
Minor in computer science and/or formal advanced computer science coursework preferred
2+ years of professional experience in analytical field
1+ years of airline business experience
1+ years designing and programming/coding data structures for large-scale computer models
Experience with Julia programming language
Knowledge of United/industry data sources
Structured programming for large-scale computer models
Demonstrated ability to create business value
About United Air Lines, Inc
United Airlines is a major American airline that operates a large domestic and international route network. The company is headquartered in Chicago, Illinois and is a founding member of the Star Alliance, the world's largest airline alliance. United Airlines operates a fleet of over 800 aircraft and serves more than 350 destinations in over 50 countries.
