Job Summary:

The Disney Decision Science and Integration (DDSI) team supports clients across The Walt Disney Company, including Disney Parks, Experiences and Products, Disney Cruise Line, Media Networks (i.e. ABC, ESPN), Studio Entertainment, Disney Theatrical Group (e.g., Broadway shows), and Disney Interactive Media 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 execute strategies to maximize profitability and improve the value proposition for our Guests, Cast Members, and Shareholders.

We Are:

The Decision Science team creates 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.

Responsibilities:

Make an impact by creating innovative mathematical models to inform data-driven decision making across many lines of business. The interns 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

Basic Qualifications:

What You Bring to the Role:

• Strategic problem solving & analytical skills
• 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
• Aptitude 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:

• Familiarity with SQL or Tableau
• Experience using machine learning algorithms
• Proficiency with statistical methods such as linear regression, generalized linear models, and hierarchical/mixed models
• A working knowledge of deterministic optimization (e.g., linear programming, integer programming, mixed integer programming), or other optimization (nonlinear programming, dynamic programming, etc.)
• Experience and expertise of using mathematical programming software and/or developing algorithms for large scale optimization problems
• Proficiency with forecasting methodologies
• Proficiency with Bayesian statistics
• Proficiency with discrete event simulation
• Prior research or industrial experience in revenue management, pricing, and/or supply chain applications
• Proficiency with neural networks and/or deep learning
• Proficiency with text mining methods, such as natural language processing, sentiment analysis, and topic modeling

Required Education

• Currently enrolled graduate student (Masters or PhD) studying Statistics, Operations Research, Industrial Engineering, Math, Economics, or related field at an accredited college or university
• GPA of 3.0 or higher

Additional Information:

Eligibility Requirements:

This position will be working remotely.

• At the time of application, must 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 Professional Internship
• Must be at least 18 years of age
• Must not have completed one year of continual employment on a Disney internship or program
• Must possess unrestricted work authorization
• Program Dates: Interns must be fully available, full-time, 40 hours per week, from January to June 2022