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: Statistics, Operations Research, Industrial Engineering, Applied Mathematics, Machine Learning, and Econometrics. 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 Direct-to-Consumer & International, Media Networks (e.g., ABC, ESPN), Studio Entertainment (e.g., The Walt Disney Studios, Disney Theatrical Group) and Parks, Experiences & Consumer Products What We’re Looking For: Possess a Master’s degree in Statistics, Operations Research, Industrial Engineering, Mathematics, Machine Learning, Econometrics or related field Must exhibit competence in at least one of the following four analytics/science fields (inclusive of applicable topics as noted), and in one computing topic as follows: 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 Non-linear Stochastic Stochastic Models and Discrete-Event Simulation 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 Computing & programming languages (at least one): General (Java, Python, C, C++, etc.) Statistical (SAS, R, etc.) Scientific computing (MATLAB, Julia, 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 Company Overview: Data