Job Summary Role Location: This is an on-site role requiring 4 days in person at a designated office location. Disney Entertainment & ESPN Technology is reimagining ways to create magical viewing experiences for the world’s most beloved stories while also transforming Disney’s media business for the future. Whether that is evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney’s unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world. A few reasons why we think you’d love working for Disney Entertainment & ESPN Technology: Building the future of Disney’s media business: DE&E Technologists design and build the infrastructure that powers Disney’s media, advertising, and distribution businesses for years to come. Reach & Scale: The products and platforms we build delight millions of consumers every minute of every day – from Disney+, Hulu, ABC News, Entertainment, ESPN, and ESPN+. Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news. Responsibilities and Duties of the Role Provide technical leadership for the data science team, guiding junior and mid‑level data scientists through best practices in experimentation, modeling, analytics, and data storytelling. Identify, analyze, and deliver high‑impact insights for ESPN personalization—including user behavior trends, recommendation system performance, and content engagement patterns—to influence product decisions. Design and analyze large‑scale A/B and multivariate experiments using rigorous statistical methods, power analysis, variance reduction techniques, and causal inference frameworks. Lead the design of automated dashboards, visualizations, and decision‑support tools, partnering with Data Engineering to build durable, production‑ready data pipelines and science workflows. Own end‑to‑end delivery of complex data science initiatives by collaborating with Product, Engineering, Content Programming, and Executive stakeholders, translating technical findings into actionable recommendations. Minimum Qualification 7+ years of experience in Data Science, Machine Learning, Statistics, or a related field, ideally supporting large‑scale online platforms. Bachelor’s degree in Data Science, Computer Science, Statistics, or a relevant field or equivalent industry experience. Proven track record of delivering high‑quality experimentation analyses and actionable insights that influenced product strategy. Deep expertise in statistical testing, causal inference, and experiment design (A/B testing, power analysis, sequential testing, etc.). Strong proficiency in Python, SQL, and modern ML/statistics libraries (pandas, scikit‑learn, PyTorch/TensorFlow optional). Experience working with large-scale datasets in distributed computing environments (Spark, Databricks, Snowflake, etc.). Strong familiarity with data engineering best practices and building durable data science assets on top of production‑grade data. Demonstrated success with dashboarding tools (Tableau, Looker, Mode) and crafting data stories for a variety of stakeholders. Experience applying automation and AI-driven tools to streamline workflows, improve standardization, and optimize productivity. Exceptional communication skills, especially in translating technical analyses into compelling stories for product managers and executives. Ability to lead projects with high ambiguity and cross‑functional complexity. Preferred Qualification Experience with personalization algorithms, recommender systems, or ranking models. Familiarity with streaming or media tech ecosystems. Advanced degree in Data Science, Computer Science, Statistics, or a relevant field or equivalent industry experience. Compensation The hiring range for this position in Los Angeles, CA is $155,700 - $208,700 per year; in San Francisco it is $170,500 - $228,600 per year; and in New York City it is $163,100 - $218,700. The base pay offered will consider internal equity and may vary depending on geographic region, job-related knowledge, skills, and experience. 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 other benefits, dependent on the level and position offered. #J-18808-Ljbffr