The Decision Science team focuses on creating innovative mathematical models to inform business decision making through data. The team is interested in all fields related to data science, with emphasis on statistics, operations research, econometrics, and machine learning.

The Decision Science team resides within the Disney Decision Science + Integration (DDSI) organization. DDSI provides internal consulting services for clients across The Walt Disney Company. The DDSI team sits at the intersection of business strategy, advanced analytics, and technology integration to help our partners explore opportunities for analytics, shape business decisions, and drive value. Our work includes conceptualizing new solutions, solution design and development, implementation and integration with business processes, and ongoing business support.

Responsibilities:

Achieve business goals and objectives—Research and develop decision science models and act as a consultant to all business units within The Walt Disney Company

Pursue innovation—Conduct research on analytical techniques and translate that research into usable and sustainable solutions for users

Put your skills to the test—Perform data collection and data mining, and build state-of-the-art decision science algorithms, tools, and systems

Drive value—Model and analyze revenue management and pricing related issues using various mathematical, statistical, and simulation techniques

Tell the story—Present science results to business partners and clients

Support a global and enterprise-wide mission—Identify and apply best practices in the field of advanced analytics for multiple businesses such as theme parks and resorts (e.g., Walt Disney World), Disney Cruise Line, media (e.g., ABC, ESPN), movies (e.g., Walt Disney Animation Studios), live shows (e.g., Disney on Broadway), and retail (e.g., shopDisney)

Basic Qualifications:

3+ years of relevant/related experience

Must exhibit competence in optimization, inclusive of topics as noted:

Optimization (at least one topic):
Decision analysis or multiple criteria decision making
Mixed-integer optimization
Nonlinear optimization
Stochastic optimization
Discrete-event simulation and stochastic models

Must exhibit competence in at least one computing topic:

General computing (Python, Java, C, C++, etc.)

Statistical computing (R, SAS, etc.)

Scientific computing (Julia, MATLAB, etc.)

Preferred Qualifications 

Proven knowledge of revenue management context, including demand forecasting, resource allocation, and pricing

Required Education 

Bachelor's degree in Mathematics, Operations Research, and Industrial Engineering, or comparable field of study, and/or equivalent work experience

Preferred Education

Masters or Ph.D. in Mathematics, Operations Research, and Industrial Engineering, or comparable field of study, and/or equivalent work experience

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