Decision Scientist – Optimization & Operations Research - # 26-26814
About The Position
The Decision Scientist will work on the Decision Science and Integration team, supporting clients across the company with yield management, revenue planning, forecasting, pricing, and optimization. The role applies data-driven mathematical models to business decisions and helps develop strategies that maximize profitability and improve value for Guests, Cast Members, and Shareholders. The team provides internal consulting at the intersection of business strategy, advanced analytics, and technology integration. Its work includes conceptualizing solutions, designing and developing them, integrating them into business processes, and providing ongoing business support. The position conducts research on analytical techniques and translates findings into usable, sustainable tools and solutions, while communicating analytical results to business partners and clients.
Requirements
- Demonstrated competence in at least one optimization topic: decision analysis or multiple criteria decision making, mixed-integer optimization, nonlinear optimization, stochastic optimization, or discrete-event simulation and stochastic models.
- Competence in at least one computing area: general computing (such as Python, Java, C, or C++), statistical computing (such as R or SAS), or scientific computing (such as Julia or MATLAB).
- Master’s or Ph.D. degree in Statistics, Operations Research, Industrial Engineering, Mathematics, Machine Learning, Econometrics, or a related field.
Nice To Haves
- Proven knowledge of revenue management, including demand forecasting, resource allocation, and pricing.
Responsibilities
- Research and develop decision science models, serving as a consultant to business units across the company.
- Research analytical techniques and translate findings into usable, sustainable solutions for users.
- Collect and mine data, and build decision science algorithms, tools, and systems.
- Model and analyze revenue management and pricing issues using mathematical, statistical, and simulation techniques.
- Present analytical and scientific results to business partners and clients.
- Identify and apply advanced analytics best practices across multiple businesses, including theme parks and resorts.
