Senior Data Scientist - Operations Research
About The Position
United's Digital Technology team develops and maintains large-scale technology solutions using innovative architectures, data analytics, and digital solutions. The Senior Data Scientist provides mathematical modeling and analysis to support financial, operational, and strategic planning, and works with project teams to develop practical solutions to complex business problems. The role applies operations research, machine learning, and structured programming to analyze large datasets, build optimization models, and improve business decisions. The position involves designing analytical plans, developing and prototyping models, assessing analytical limitations and delivery risks, and choosing a suitable scope of analysis based on business value and available time. The Senior Data Scientist provides ongoing analytical support to client organizations, communicates findings to management and clients, and contributes to presentations. The role also keeps informed about developments in operations research and analytics.
Requirements
- Advanced degree (PhD or ABD) in Operations Research or another 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 prototyping models using optimization toolkits such as CPLEX, AMPL, or OPL.
- Coursework or work experience with C, C++, Java, R, Python, or another structured programming language.
- Good business, technical, verbal and written communication, presentation, and sales skills.
- Adaptability to a changing business environment.
- Good interpersonal skills and ability to interact with clients.
- Proficiency with Microsoft Office.
- Successful completion of an interview.
- Reliable, punctual attendance.
Nice To Haves
- Minor in computer science and/or formal advanced computer science coursework.
- At least 2 years of professional experience in an analytical field.
- At least 1 year of airline business experience.
- At least 1 year designing and programming or coding data structures for large-scale computer models.
- Experience with the Julia programming language.
- Knowledge of United or industry data sources.
- Structured programming for large-scale computer models.
- Demonstrated ability to create business value.
Responsibilities
- Provide mathematical modeling and analysis to support financial, operational, and strategic planning decisions.
- Support project teams with value-added analysis that produces practical solutions to complex business problems and improves business decisions.
- Develop approaches and methods to define and solve management problems using quantitative analysis, operations research, machine learning, and structured programming languages.
- Identify, research, and solve large, complex problems using big data, operations research, and machine learning principles.
- Use knowledge of business processes to identify and implement operations research solutions that contribute to business results.
- Build and develop operations research and optimization mathematical model applications, and provide client support.
- Participate in model design, prototyping, and development across simultaneous efforts, and interface with product delivery groups.
- Select an appropriate scope of analysis by balancing return on investment against available time; raise concerns when the scope does not align with the time available.
- Design analytical plans and develop hypotheses to test; understand and communicate the limitations of analyses.
- Anticipate working-team questions about data and analytical approaches, and identify solution-quality and schedule risks.
- Understand business value, processes, expectations, and the intuition behind results before focusing on technical solutions.
- Provide ongoing analytical services to client organizations.
- Communicate results to management and clients; contribute presentation content and develop the findings narrative with guidance.
- Develop and deliver presentations aligned with Ai standards, communicating appropriately for the working team and its level plus one.
- Stay informed about current analytical methods and research in operations research and analytics.
Benefits
- Medical, dental, vision, life, accident, and disability benefits.
- Parental leave.
- Employee assistance program.
- Commuter benefits.
- Paid holidays and paid time off.
- 401(k).
- Flight privileges.
- Eligible for bonus and/or long-term incentive compensation awards.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
