Spring Paid Intern - Data Science

This is a Part Time Paid Internship


Be a part of an innovative team and culture…

Would you like to be part of the interdisciplinary team providing vital insights into the rapidly evolving media landscape for Disney's suite of television networks (ABC, ESPN, Freeform, FX, National Geographic, Disney Channel, etc.)? Join our Data Management & Operations team, whose mission is to develop, support, and improve analytics operations to deliver data-driven insights and drive efficiencies across the Research, Data & Insights group in Disney Entertainment (DE). We highly value statistical modeling and machine learning approaches, but also balance traditional data science methods with financial modeling practices and business expertise – merging the science with the art.

A Day in the Life…

The Data Science Intern on the Disney Entertainment (DE) Research, Data & Insights – Data Management & Operations team will be responsible for developing and improving predictive models and unified insights on engagement across Disney's television portfolio. Primarily, modeling w ill be in support of viewership forecasting to optimize Ad Sales revenue, in support of the DTCI P&L's for digital. The Data Science Intern will develop new predictive models providing greater forecasting accuracy, build dashboards to share model results and insights, as well as enhance storytelling over complex data. We are looking for a self-starter with a passion for writing code and digging into data with creativity and efficiency, with the ability to effectively communicate complex results and insights to business stakeholders.
• Statistical Modeling: Design and develop new predictive models leveraging statistical and machine learning methods to measure and project a user's engagement with the Disney platforms across many KPIs; Dig into drivers of change when interpreting forecasts and drive changes to the science in the forecast that will enhance accuracy;
• Business Intelligence: Build visualizations and interfaces to share results with business stakeholders in an easily digestible, sustainable, and automated manner; Analyze data to identify patterns, uncover opportunities, and create a common understanding of digital media consumption;
• Data Exploration: Translate raw data into meaningful and useful insights for data- driven decision making. Analyze data to identify patterns, test hypotheses, and create a common understanding of digital movie consumption.
• Process Improvement: Drive innovation by exploring new statistical techniques and brainstorming ways to optimize the existing forecast and reporting infrastructure and make processes even better;
• Collaboration: We are looking for a results-oriented team member to join us in a fast-paced cross-functional environment, with excellent time management skills and a commitment to contributing effectively in a cooperative team environment.

What we are looking for…
• Proficiency in SQL and Python (e.g. pandas, numpy, scikit-learn) for data analysis;
• Experience with data visualization tools (e.g. Tableau);
• Experience designing and implementing predictive models (generalized linear models, time series,

decision trees, etc.);
• Experience working with Git;
• Proven sense of responsibility and effective project ownership – you have an aptitude for

troubleshooting complex problems with creative solutions;
• Communication skills – you're able to shift between technical and non -technical terminology

depending on the audience;
• Natural curiosity - you enjoy digging deeper to find the big picture and are open to learning new

technologies;
• User/Client Oriented – you have strong interpersonal skills, building relationships across teams

and functions to earn trust and advance business goals;
• Humility - you're able to contribute to the team, ego aside, with an enthusiasm about helping

others;
• Comfort with messy data and flexibility in dynamic environments.

- (Preferred Qualifications)
• Experience with ETL, data pipeline management, and cloud infrastructure for managing large amounts of data (e.g. AWS, PySpark, Snowflake, Airflow, Databricks);
• Experience using web frameworks (Django) and JavaScript libraries (ReactJS, JQuery) to build professional frontend and backend web applications focused on user experience;

Required Education:

• To be eligible for this internship you must be a junior, senior or a recent graduate (within 6 months of your graduation date) pursuing a Bachelor's Degree in Computer Science, Statistics, Data Science, Mathematics, Econometrics, Cognitive Science, or equivalent substitute.

Additional Details:
• Must be enrolled in an accredited college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within 6 months OR currently participating in a Disney College Program or Disney Professional Internship
• Must be at least 18 years of age? and possess unrestricted work authorization
• Must not have completed one year of continual employment on a Disney internship or program. -
• Must be able to have a consistent, reliable work schedule throughout the session
• Must be able to work on-site in either Seattle, WA OR Burbank, CA and provide your own housing and transportation for the duration of the internship
• Program Length: The approximate dates of this internship are January 2024 - June 2024. Candidate must be available to work Monday - Friday, 9am - 5pm PST

The pay rate for this internship in Washington is $21.70 per hour. Select benefits may be provided as part of the compensation package, such as medical, financial, and/or other benefits. To learn more about our benefits visit: https://jobs.disneycareers.com/benefits.