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About the Role & Program

The Disney Decision Science and Integration (DDSI) team supports clients across The Walt Disney Company, including Disney Experiences (Theme Parks and Resorts, Disney Cruise Line and Disney Consumer Products,) Disney Entertainment (Media Networks, Studios, Streaming, and Theatrical) and ESPN in the core competencies of yield management, revenue planning, forecasting, pricing, and optimization. Key partners to the DDSI organization include marketing, finance, business development, research, and operations. Roles within DDSI develop, analyze, and implement strategies to enhance profitability and improve the value proposition for our Guests, Cast Members, and Shareholders.

As part of DDSI, the Decision Science team builds innovative scientific models and data-driven decision support tools that are used by business units across The Walt Disney Company to make better business decisions. From establishing appropriate science methodologies to implementing continuous innovation, the Decision Science team is instrumental in determining the success of our entire global enterprise!

What You Will Do

Graduate Associates make an impact by crafting innovative mathematical models to advise data-driven decision-making across many lines of business. As a Graduate Associate, you will help in this process by:

• Modeling and analyzing revenue management, pricing, marketing, and other business analytics applications using various mathematical, statistical, and simulation techniques
• Supporting the analysis and validation of forecasting and optimization models
• Performing data collection, data cleaning, data validation, and reporting tasks for various business analytics systems and applications

Required Qualifications & Skills

• Strategic problem-solving & analytical skills
• Proficiency in one or several of the following areas: forecasting, machine learning algorithms, deep learning, natural language processing, Bayesian statistics, discrete event simulation, mathematical optimization methods (e.g., linear/integer/nonlinear/dynamic programming)
• Experience with statistical modeling software (e.g. R, Python, SAS) or experience with mathematical programming software (e.g. CPLEX, Gurobi, Xpress, Google OR, COIN-OR, SAS/OR)
• Proficient in at least one of the following programming languages: R, Python, SAS, Java, Julia, C++, MATLAB
• Strong organizational and time management skills with attention to detail
• Competence and willingness to learn new science, software applications, and tools
• Experience gathering, analyzing, and interpreting data and reporting on the results
• Proficiency with Excel, Word, and PowerPoint

Preferred Qualifications & Skills

• Familiarity with SQL or Tableau
• Experience developing algorithms for large-scale optimization problems
• Prior research or industrial experience in revenue management, pricing, and/or supply chain applications

Education

Currently enrolled as a Graduate level student pursuing a graduate degree in Statistics, Operations Research, Industrial Engineering, Math, Economics, or a related field

Eligibility Requirements & Program Information

Candidates for this opportunity MUST meet all the requirements below:

• Be enrolled in an accredited college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR currently participating in a Disney College Program or Disney Internship

• Current Disney Interns, College, International, or Culinary Program Participants: You may only work for ONE consecutive year (12 months) in any combination of an internship and/or program.
• Be at least 18 years of age
• Possess unrestricted work authorization

Additional Information

• The approximate dates of this position are January through June 2027
• Able to provide/have reliable transportation to/from work
• Fully available from Monday-Friday for the duration of the position, 40 hours per week

Florida Housing

We provide limited housing opportunities for Florida-based Professional Interns through American Campus Communities, for more information click here.

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