Manager, Decision Scien ce
*** 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.
The Manager, Decision Science will lead a highly skilled team of experts across technical domains, to conceptualize, design, and develop new data and decision science capabilities, and on this basis to create reusable software and system components that have potential for broad use.
Responsibilities:

• Manage direct reports, which may include professional staff specializing in different technical disciplines. May also manage the work of further professional staff in a matrixed organization
• Lead complex projects and initiatives, to include responsibility for detailed scope negotiation and work estimation, design proposals, development and teaching of necessary skills, adaptation of plans to meet operational challenges, and representation of the team with senior leaders and with partners ( e.g. product teams, client teams, and vendors)
• Lead research and development of emerging science, tools, and technologies, some of which may pertain to analytics platform initiatives

Basic Qualifications:

• Ability to understand and support a large business domain or multiple significant domains
• Competence in multiple topics from statistics, optimization, machine learning, and/or econometrics . Breadth of knowledge enabling responsibility for large, complex, or varied output
• Competence in mathematical computing with at least one programming language ( e.g. Python, R, Java), and the ability to learn technical methods and tools independently

How to Stand Out:

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

• Familiarity with software development tools such as GitLab/GitHub, Docker, and cloud computing tools such as AWS

Required Education:

• Master's or PhD in technical discipline (Statistics, Operations Research, Industrial Engineering, Mathematics, Econometrics, or related field) 6 plus years related experience. (Ph D plus 3 years.)