What’s needed to succeed (Minimum Qualifications):
- PhD or ABD in Statistics or other related quantitative discipline involving quantitative analysis and application of advanced statistical methods
- Coursework or work experience with statistics and/or forecasting techniques
- Coursework or work experience in model prototyping through use of statistical package(s) including SAS or SPSS, Minitab and/or BI tools
- 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
- Must be legally authorized to work in the United States for any employer without sponsorship
- 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
United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.
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 decisions
- Develops the approach and methods to define and solve management problems through quantitative analysis and analytical models using statistics, machine learning, forecasting techniques, and structured programming languages
- Identifies, researches, or solves large complex problems using big data and statistics, forecasting and machine learning principles
- Leverages understanding of the business process to identify and implement statistics, forecasting and machine learning solutions that will result in significant bottom-line contributions
- Builds and develops statistics, forecasting and machine learning 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 statistics, forecasting, machine learning and analytics fields