Data Science & Analytics
Media.net builds systems that include massive database infrastructure, relevance algorithms, ad delivery engines, data mining systems, web user interfaces etc. The problem space encompasses some of the most comprehensive problems in Computer Science (Machine Learning, Data Mining, BI, Large Scale Distributed Computing and Artificial Intelligence); Mathematics; Economics & Business (Auction Theory, Behavioral Targeting).
Media.net’s goal is to build algorithms to map the user’s intent with the content of the ads that are shown. The team is directly responsible for increasing company revenues.