Commercial Data Science Intern, Spring 2027
The Walt Disney CompanyAbout the role
Job Posting Title
Commercial Data Science Intern, Spring 2027
Req ID
10158063
Job Description
About the Role & Program Do you love the art of using data to solve complex business problems? We do too – and would be excited to have you join our team at Walt Disney World! Our mission as part of the Commercial Strategy organization is to put our data assets to work and apply quantitative techniques to discover previously unknown insights about our Guests and business. We get to work directly with the major decision-makers at Disney who shape the Walt Disney World experience. Our insights inform strategy, expose opportunities, and shape Disney products and offerings. As an individual contributor, reporting to the Manager of Data Science, you will create analytics and modeling tools to support the Commercial organization, specializing in Merchandise, Food & Beverage, and Bookable Experience products.
What You Will Do
While each day will be different, with rotating priorities, the main themes for this role include you being a(n): Creator: Understand data and use data science skills to deliver mathematical models and ad-hoc statistical analyses. Translate business needs into data assets and query them using SQL Uncover insights, test hypotheses, identify the “why”, and tell a story Develop ad hoc analyses and sustained models Paint a picture with data using data visualization tools Collaborator: Team up with other data experts. Work with business partners to identify and unlock opportunities Automate workflows and analysis to ensure faster business decisions Work with other data teams to improve platform capabilities around data modeling, data visualization, experimentation, and data architecture Learner: Lean into your curiosity to understand business problems, data environments, and people. Explore existing and emerging analytical solutions, capabilities, and technologies and incorporate them into your work Partner with different teams and departments to understand
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