As Discovery Communications’ portfolio continues to grow – around the world and across platforms – the Global Technology & Operations team is building media technology and IT systems that meet the world class standard for which Discovery is known. GT&O builds, implements and maintains the business systems and technology that are critical for delivering Discovery’s products, while articulating the long-term technology strategy that will enable Discovery’s growing pay-TV, digital terrestrial, free-to-air and online services to reach more audiences on more platforms.
From Amsterdam to Singapore and from satellite and broadcast operations to SAP, we are driving Discovery forward on the leading edge of technology.
The Global Data Analytics team enables Discovery Communications to turn data into action. Using big data platforms, data warehousing and business intelligence technology, audience data, advanced analytics, data science, visualization, and self-service analytics, this team supports company efforts to increase revenue, drive ratings, and enhance consumer engagement.
As part of a growing team that is innovating the way Discovery does business around the world, the Data Science Manager will be responsible for managing and executing data science projects to support our international businesses. These efforts will include optimization of revenue, viewership, engagement, retention, content value, and customer value for multiple media platforms including pay TV, free-to-air TV, and direct-to-consumer digital. Specifically, you’ll be responsible for managing the development and operationalization of mathematical/statistical analyses, hypothesis tests, and algorithms/models. You’ll also be responsible for managing refinement and execution of operationalized algorithms and models.
You’ll need to be an innovative forward-thinker who will manage end-to-end execution of data science initiatives, mentor and direct data scientists, and contribute directly to existing and emerging business strategies and goals. Communication and ability to work in a collaborative team environment are essential.
You’ll work with the Global Data Science Team Lead, data & analytics team, data engineering team, and business stakeholders to manage development, refinement, and scaling of data products. Therefore, this role requires strong technical and communication skills, creativity and attention to detail, experience managing data scientists, and experience managing data science projects from end-to-end – from use case definition to final product delivery.