Walt Disney
Location
Lake Buena Vista, FL | United States
Job description
Decision Scientist
*** This position is a hybrid role working 4 days out of the Orlando office and may require relocation to the Orlando area ***
Job Summary:
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:
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 o r Ph.D. degree in Statistics, Operations Research, Industrial Engineering, Mathematics, Econometrics, or related field plus one year of relevant experience.
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