About the Role and Program
Supporting Disney Advertising Sales, the Data Science team are subject matter experts in each of the following areas:
Integrating a broad suite of complex datasets, from digital event logs to sporting event metadata, into carefully curated and reusable data models
Creating and optimizing audience classification models that enable us to predict and target strategic audience attributes, including brand affinity, purchase behavior, and psychographics
Publishing audience attributes across an array of ad-serving endpoints
Working cross-functionally to ensure our data product is aligned with the goals of each strategic sales vertical and the business as a whole
The Data Science team are part of Disney Advertising Sales’ Data & Measurement Sciences group, an outstanding organization made up of Data Scientists, Data Engineers, Data Strategists, Analysts and business domain experts. We collaborate with both internal and external teams to understand how we can lead data-driven initiatives in support of the Advertising Sales organization.
What You Will Do
Does this sound like the team for you? We are looking for an intellectually curious individual to join us as a Data Science Graduate Intern in The Walt Disney Company’s DET segment, specifically within Disney Advertising Sales’ Data & Measurement Sciences group. In this role, you will be a sophisticated Data Science Intern who will be responsible for the following:
Lead a project end-to-end, in close collaboration with a mentor, and understand how the team’s work contributes to the Ad Sales organization overall.
Collaborate in the maintenance and improvement of our suite of scalable ML tools and data products, including feature stores, model registry, ground truth management, and training and inference pipelines.
Attend team workshops, prioritization and update meetings to understand ways of working and actively participate and contribute to cross-functional initiatives.
Perform ad-hoc analysis to support various projects across our Data & Measurement Science team.
Collaborate with full-time analysts to gain perspective on different aspects of day-to-day projects and responsibilities.
Network with individuals across the Data & Measurement Science organization, as well as the broader Sales teams, to explore areas of opportunity for Data Science in Advertising.
Required Qualifications & Skills
Course or project-based experience using analytical software to manipulate data (SQL, Python).
Course or project-based work using basic data engineering concepts (ETL, ELT).
Course or project-based experience in machine learning concepts and applications (supervised and unsupervised Learning, feature engineering, model evaluation)
Familiarity with Apache Airflow and Google Cloud Platforms (e.g., BigQuery, Cloud Storage) is plus but not required.
Shown ability to communicate technical concepts to a technical audience.
Highly engaged, ambitious problem solver who is self-motivated and eager to learn.
Eager to collaborate, become part of a team, and lean-in on asking questions from leadership.
Education
Currently in the process of obtaining a Master’s in Data Science, Computer Science, Applied Mathematics, Statistics, or other related quantitative field.
Eligibility Requirements & Program Information
Be enrolled in an accredited college/university pursuing a degree taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program AND returning to school the semester/quarter following the internship OR currently participating in a Disney College Program or Disney Internship.
Be at least 18 years of age.
Possess unrestricted work authorization.
Have not completed one year of continual employment on a Disney internship or Disney College Program.
Additional Information
Fully available from M-F, 40 hours each week for the entire program duration: May/June - August/September 2025 (12 weeks).
Able to provide own housing for the duration internship program in Santa Monica, CA or New York, NY.
Able to provide/have reliable transportation to/from work.
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