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Cinderella Castle

Decision Science Technical Manager

Job ID 397425BR Location Lake Buena Vista, Florida, United States; Orlando, Florida, United States Business Disney Parks & Resorts Brand Walt Disney World Resort Category Parks Professional Date posted 07/11/2017
Create innovative scientific models and data-driven decision support tools as a member of our Decision Science team. Not sure where you fit in? We hail from many disciplines, including: Operations Research, Machine Learning, Statistics, Econometrics, Industrial Engineering, and Applied Mathematics. If your expertise lies in data mining, analytical consultation and science modeling, this could be the perfect role for you.

Your Role:
  • 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 as well as 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 (statistics, operations research, etc.) to multiple Walt Disney Company business units including Walt Disney Parks & Resorts, Disney Cruise Line, Media Networks (e.g., ABC, ESPN), Studio Entertainment (e.g., The Walt Disney Studios, Disney Theatrical Group), and Disney Consumer Products and Interactive Media
What We’re Looking For:
  • Possess a Master’s degree in Statistics, Operations Research, Industrial Engineering, Mathematics, Econometrics or related field
  • Minimum three years related/relevant experience
  • Ability to work with little guidance on science methodologies and modeling approaches, based on sound business acumen, across multiple lines of business or functional areas
  • Ability to provide peer leadership to junior colleagues, and to direct the design and development of advanced analytical data mining, forecasting, estimation, and/or optimization models
  • Ability to provide project management leadership and technical guidance for Decision Science work streams and activities
  • Ability to work with project teams (clients, partners, contributors) to ensure successful implementation of science solutions to include all phases of the project: requirements gathering, design, implementation, quality assurance, and maintenance
  • Must exhibit competence in at least one of the following analytics/science fields, and in one of the following computing languages:
Statistics (2 or more areas):
  • Generalized linear models
  • Nonparametric regression
  • Bayesian statistics
  • Time series (State space models, ARIMA, …)
  • Mixture models
  • Structural equation models
Optimization (at least one):
  • Mixed-integer
  • Non-linear
  • Stochastic
  • Stochastic Models and Discrete-Event Simulation
  • Decision Analysis or Multiple Criteria Decision Making
Econometrics (2 or more areas):
  • Panel data
  • Limited dependent variables
  • Generalized method of moments
  • Simultaneous equations models
  • Instrumental variables
Machine learning (2 or more areas):
  • CART
  • Random forests
  • Neural networks
  • Boosting
  • Support vector machines
  • Graphical models
  • Clustering
  • Reinforcement learning
Computing & programming languages (at least one):
  • Scientific computing (MATLAB, Julia, etc.)
  • Statistical (SAS, R, etc.)
  • General (Java, Python, C, C++, etc.)

How To Stand Out:

  • Proven knowledge of revenue management context, including demand forecasting, resource allocation, and pricing
  • Possess a PhD in Statistics, Operations Research, Industrial Engineering, Mathematics, Machine Learning, Econometrics or related field

Who We Are:

At Disney, we‘re storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world.

Additional Information

©Disney is an equal opportunity employer. Drawing Creativity from Diversity.

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