Decision Science Technical Manager job at Disney Parks & Resorts

Job Description

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

Interested in this position?

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