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Senior Data Scientist

$141.9k - $190.3k

The Walt Disney Studios

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 Engineers on feature analysis and model evaluation for your assigned area, providing data support for drift detection and performance reviews.
  • Insight Communication : Translate analysis into clear findings and recommendations for your immediate team, supporting (rather than leading) broader product and roadmap discussions.
  • Statistical Analysis : Apply statistical analysis using Python, SQL, and PySpark to datasets within your area of focus, using tools such as Adobe Analytics to support behavioral analysis.
  • Collaboration & Growth : Collaborate with product, design, and engineering partners on assigned initiatives, and develop toward broader ownership of experimentation and metrics design over time.

Basic Qualifications

  • Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a comparable quantitative field of study, and/or equivalent work experience
  • 5+ years of experience in data science, analytics, or a related field
  • Proficiency in Python, SQL, and PySpark for data analysis and manipulation
  • Working knowledge of statistical analysis and experimentation, including running and interpreting A/B tests under established methodology
  • Ability to conduct exploratory data analysis (EDA) and identify patterns in user behavior data
  • Experience working with cloud data platforms such as AWS, Databricks, or Snowflake
  • Clear written and verbal communication skills, with the ability to summarize findings for an immediate team
  • Experience working in Agile/Scrum environments and collaborating with engineering and product partners

Preferred Qualifications

  • Experience with Adobe Analytics or comparable web/product analytics platforms
  • Exposure to large-scale content or media platforms
  • Familiarity with data visualization tools (e.g., Tableau, Looker)
  • Basic familiarity with machine learning concepts sufficient to support ML Engineers on feature analysis and evaluation

The hiring range for this position in LA is $141,900 - $190,300 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

About Disney Entertainment and ESPN Product & Technology:

At Disney Entertainment and ESPN Product & Technology, we're blending imagination and innovation to reimagine the ways people experience and engage with the world's most beloved stories and products. Our work is wide-ranging and deeply sophisticated. We create amazing experiences, transform the future of media, and build products and platforms that enable the connection between people everywhere and the stories and sports they love.

Disney's ability to marry world-class technology with one-of-a-kind creativity makes us unique. It is at the heart of our past, present, and future. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers.

About The Walt Disney Company:

The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.

This position is with Disney Entertainment & Sports LLC, which is part of a business we call Disney Entertainment and ESPN Product & Technology.

Disney Entertainment & Sports LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world.

To learn more about Disney's policies on the use of AI for candidates, click here.

DISABILITY ACCOMMODATION FOR EMPLOYMENT APPLICATIONS

The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.

Having technical issues? View the FAQs for help.

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