Manager, Data Science

About The Group Disney DTC is responsible for developing and operating The Walt Disney Company’s direct-to-consumer video businesses globally, including the ESPN+ premium sports streaming service; Disney+, the dedicated streaming home for entertainment from Disney, Pixar, Marvel, Star Wars, National Geographic and BAMTECH Media, a global leader in direct-to-consumer video streaming products and solutions. Our core mission is to deliver global audiences the freedom to access content on their terms across any connected device, time or location. We serve consumers by bringing the world’s most beloved characters, timeless stories, legendary athletes, and epic sporting events to global audiences through best-in-class direct-to-consumer video services. We strive daily to imaginatively challenge convention with innovative technology that gives consumers the freedom to access content on their terms across any connected device, time or location. About The Role The Data Science team at DTC combines deep data analysis and research of our rich user data to present a compelling vision around user retention and preferences across the vast ecosystem of our product offerings and content. We are the insights and modeling partners for the content, marketing, product, and engineering teams at Disney+, Hulu and ESPN+. As Data Scientists, we use data to empower decision-makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide. If you are someone who loves to work cross-functionally, build models, perform statistical analysis, and create visualizations to provide scalable and iterative capabilities, then this is a fantastic role for you! What You'll Do Modeling: Manage and apply state of the art machine learning and statistical analysis to develop models related to personalization and content targeting, content forecasting, and segmentation. Deep analysis: Analyze user behavioral data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the service and content. Visualization of Insights: Development of prototype solutions, mathematical models, algorithms, and robust analytics leading to impactful insights communicated clearly and visually. Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around predictive modeling, causal inference, experimentation and data science. What To Bring At least 8 years relevant work experience Deep understanding of machine learning concepts and statistical methods Ability to draw insights and conclusions from data to inform model development and business decisions Desire to collaborate with other data scientists, data analysts, and key business partners Proficient in analyzing data and developing ML models using Python (with ML frameworks like tensorflow, scikit-learn, etc.) Capable of reading and writing Object-Oriented code to review and implement modeling pipelines (Airflow, Luigi, etc.) Understanding of SQL and distributed data technologies (Hive, Spark) Nice To Haves MS or PhD in Computer Science, Engineering, Statistics, Economics, Physics or related quantitative field (e.g. Econometrics, Mathematics, Operations Research) Working knowledge of Bayesian modeling and familiarity with probabilistic programming packages/language such as Stan, PyMC Experience fully integrating data science solutions into the business and operationalizing and developing ML models Required Education Bachelors or Masters degree in a relevant field (e.g. Computer Science, Data Science, Statistics, Mathematics or related degree) The hiring range for this position in Santa Monica, California is $149,300 to $200,200 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. #J-18808-Ljbffr