COMPLETE Decision Scientist - Lake Buena Vista, FL, USA

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)  

Must exhibit competence in at least one of the following four analytical fields, inclusive of topics as noted: 

• Statistics (two or more topics): 
  Bayesian statistics 
  Generalized linear models 
  Mixture models 
  Nonparametric regression 
  Structural equation models 
  Time series (state space models, ARIMA, etc.)  

• 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 

• Econometrics (two or more topics): 
  Generalized method of moments 
  Instrumental variables 
  Limited dependent variables 
  Panel data 
  Simultaneous equations models 

• Machine learning (two or more topics): 
  Boosting 
  CART 
  Clustering 
  Graphical models 
  Neural networks 
  Random forests 
  Reinforcement learning 
  Support vector machines 

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.)  

How to Stand Out: 

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

Required Education: 

• Master’s or Ph.D. degree in Statistics, Operations Research, Industrial Engineering, Mathematics, Econometrics, or related field plus 1 year experience