Job ID 525012BR
The Data Scientist will work within the ESPN Consumer Data Platform – a big data platform responsible for collection of all the consumer integrations across ESPN products and build machine learning models which will impact millions of fans across the world. You will be charged with delivering actionable data insights and data science solutions from ESPN’s large and diverse set of first and third party data sources. This data will come from every aspect of the user journey and product experience - user on-boarding, registration, personalization, ad-sales. Data models will be both implicit and explicit. The primary objective will be to apply modern data science techniques to discover patterns in user behavior that can be leveraged to drive three main metrics – user frequency, user engagement and revenue yield. Further, you will be tasked with building models to segment and cluster ESPN’s vast amount of digital and broadcast content – marrying these models with user behavior patterning to deliver personalized, unique experiences to each ESPN user.
You will work closely with Product Managers, Designers, Audience Development and Content Development to identify areas of opportunity. You’ll work with the entirety of ESPN Technology to build infrastructure and systems that support scalable consumption of the models you build arosss the enterprise. You’ll evangelize the work product of the data science function within the company – both upward to executive management and across the organization to peer and constituent groups.
You’ll be an excellent communicator, communicating insight, progress and plans to all levels of the company. You will be responsible for creating and approving artifacts designed to document models, requirements, and results..
You’ll bring your knowledge of standard data science methods including, but not limited to machine and deep learning, neural net processing, to bear in combination with an understanding of common toolsets such as ‘R’ or python or similar tools. Furthermore, you will be skilled in standard machine learning models like regression, instance-based, decision tress, Bayesian, clustering and other models and you will use these to build the user, revenue and content systems referenced above.
Working at ESPN is unlike anything else. That’s because we’re always finding new ways to interact with fans – however and wherever they connect with sports. Every day we’re doing things that no one has done, all in a dynamic culture where we defy odds and continuously outdo ourselves. When you have the latest technology, game-changing ideas and world-class talent on your team, every day is extraordinary.