Lead Data Scientist, Ad Platforms

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.

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.

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.

Ad Platforms is responsible for Disney’s industry-leading ad technology and products—driving advertising performance, innovation, and value in Disney’s sports, news, and entertainment content, across all media platforms. The research/AI fleet is the dedicated AI/ML and data science arm of the Ad Platform organization. Its mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high-impact AI/ML and data science solutions that enhance Ad decisioning, forecasting, experimentation and Ad experience.

We are seeking a Lead Data Scientist to join this innovative team.

• Drive innovation and apply data science and statistical analysis in a variety of areas to enhance every aspect of advertising, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery.
• Translate business questions into data science framework; develop data analysis and data models for complex ad challenges with fast turnaround.
• Define and evaluate key metrics in various product areas.
• Deliver data insights and provide data-driven recommendations to cross-team stakeholders.
• Design and analyze A/B tests for machine learning algorithm iterations.
• Establish strong partnership with stakeholders, including product managers, engineers and program managers, in a collaborative environment.
• Mentor team members and support their technical growth.

• Bachelor's (MS or PhD preferred) in Computer Science, Software Engineering, or a related field
• At least 7 years of relevant industry experience in data science at leading internet companies. Experience in the advertising domain is preferred.
• Solid knowledge of data science and statistics. Strong communication skills and business acumen.
• Proficient in SQL, Python, Java, or R. Familiar with Tableau, and/or other visualization tools.
• Passionate about understanding the ad business, applying data science to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness.
• Passionate about technology and experienced in building data-driven services and applications.
• A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required.

• Experience in digital video advertising or digital marketing domain
• Experience with machine learning models.
• Experience with Airflow, data warehouse, Databricks or Sagemaker

The hiring range for this position in Los Angeles, CA area is $155,700 - $208,700 per year and Seattle area is $163,100 - $218,700. 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.

Mid-Senior level

Full-time

Engineering and Information Technology

Entertainment Providers

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