Sr. Operations Research Engineer

Are you looking for a high impact position that will leverage your data science, analytical, business and technical skills? Do you enjoy building models that expand the understanding of business performance, predict future possibilities, and prescribe change? If you excel at delivering and communicating robust data analysis and want to influence the future of Disney Parks, Experiences and Products (DPEP), then this position is for you.

• Apply Operations Research techniques (e.g. statistics, simulation, forecasting, optimization) to solve complex business problems.
• Manage multiple projects simultaneously that contribute to improvements in Guest satisfaction, Cast excellence, and operational efficiencies.
• Communicate results and recommendations to senior leadership through verbal presentations and written reports.

• Excellent analytical ability, conceptual thinking, and creative problem solving skills.
• Demonstrated experience with operations research techniques and methods, including forecasting, optimization, machine learning, data mining, and/or simulation.
• Ability to extract, validate, manipulate, and derive insight from large amounts of data from diverse sources.
• Effective interpersonal skills, including the ability to partner with others and deal effectively with differing points of view.
• Capacity to work in a fast-paced operational environment, managing multiple projects simultaneously under changing conditions.
• Willingness to keep current on latest analytical techniques and software applications.

• Prior related work experience, including co-op/intern programs.
• Broad understanding of The Walt Disney Company and Walt Disney Parks & Resorts.
• Proficient in predictive analytics using SAS, Python or equivalent.
• Strong skills in prescriptive modeling and optimization with CPLEX or equivalent optimization software.
• Familiarity with simulation modeling methodology and tools such as Arena and AnyLogic.

• Advanced degree in Operations Research, Applied Mathematics, Statistics, Industrial Engineering or equivalent.