Senior Data Scientist

Senior Data Scientist

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney's media business globally.

The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.

Here are a few reasons why we think you'd love working here:

• Building the future of Disney's media:
  Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.
• Reach, Scale & Impact:
  More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally.
• Innovation:
  We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems.

Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity.

The News & Entertainment Machine Learning (N&E ML) team is responsible for building robust data pipelines and advanced machine learning platforms that deliver personalized experiences to users across Disney's News & Entertainment portfolio including ABC News, ABC Entertainment, National Geographic, Marvel, and Disney Studios. Our services leverage machine learning models to enable real-time content personalization and targeted distribution across web, mobile, and connected TV platforms, ensuring that users receive the most relevant and engaging content tailored to their interests.

Our mission is to drive seamless, resilient, and low-latency personalized content delivery at scale, while continuously advancing our ML infrastructure and recommendation algorithms across one of the world's most iconic collections of entertainment brands.

As a Senior Data Scientist, you will conduct exploratory data analysis and support experimentation for the N&E ML Platform, helping ensure that machine learning and personalization work is grounded in reliable data and sound statistical practice. Under the guidance of the Lead Data Scientist and senior stakeholders, you will run A/B tests, analyze results, and help define and track success metrics for specific product areas or brands within Disney's News & Entertainment portfolio.

You will work closely with Machine Learning Engineers on feature analysis and model evaluation, and translate your findings into clear recommendations for your immediate team. Your impact will be measured by the quality and reliability of the analyses you produce and how effectively they inform decisions within your area of focus.

Responsibilities:

• Exploratory Data Analysis :
  Conduct exploratory data analysis on user, content, and engagement data within an assigned brand or product area, surfacing patterns and trends for review with senior data scientists and stakeholders.
• A/B Test Execution & Analysis :
  Run A/B tests and other controlled experiments under established methodology, analyze results, and summarize findings clearly for your immediate team.
• Metric Tracking :
  Help define and track success metrics for specific features or product areas, and monitor model performance against them, escalating anomalies to senior team members.
• Support for ML Engineering :
  Work with Machine Learning…