Decision Scientist P2

Title: Decision Scientist P2

Location: Remote role

Duration: 12 Months Contract

Job Description:

• The Decision Science and Integration team supports clients across The Company, including Parks, Experiences, and Products, Cruise Line, Media Networks , Studio Entertainment, Theatrical Group (e.g., Broadway shows), and Interactive Media in the core competencies of yield management, revenue planning, forecasting, pricing, and optimization. Key partners to the organization include Marketing, Finance, Business Development, Research, and Operations. Roles within develop, analyze, and execute strategies to maximize profitability and improve the value proposition for our Guests, Cast Members, and Shareholders.

We Are:

• 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 Decision Science + Integration organization. Client provides internal consulting services for clients across The Company, including Parks, Experiences and Products (covering Parks & Resorts, Signature Experiences, and Consumer Products, Games and Publishing) and Media & Entertainment Distribution (covering content from Studios, General Entertainment and Sports).
• 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 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.

Basic Qualifications:
Optimization (at least one topic):
o Decision analysis or multiple criteria decision making
o Mixed-integer optimization
o Nonlinear optimization
o Stochastic optimization
o Discrete-event simulation and stochastic models

• Must exhibit competence in at least one computing topic:
  o General computing (Python, Java, C, C++, etc.)
  o Statistical computing (R, SAS, etc.)
  o 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, Machine Learning, Econometrics, or related field