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.
The Data Scientist/Statistician will be responsible for executing projects to support an innovative and internationally growing data team within a dynamic media business. These efforts will include optimization of revenue, viewership, engagement, retention, content value, and customer value for multiple media platforms. Specifically, you’ll be responsible for developing and operationalizing mathematical/statistical analyses, hypothesis tests, and algorithms/models. You’ll also be responsible for refining and executing operationalized algorithms and models.
You’ll need to be an innovative forward-thinker who will help lead end-to-end execution of data science projects
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 Data Science Manager, data & analytics team, data engineering team, and business stakeholders to develop, refine, and scale data products. Therefore, this role requires strong technical and communication skills, creativity and attention to detail, and experience executing data science projects from project definition to final product delivery.