The Ad Optimization team in Bangalore is a part of the Advertising Technology group and has the charter to build algorithm oriented products for ad-programs in Amazon. The Advertising Technology group in Amazon powers online advertising programs for some of the world's largest websites, including Amazon.com and other prime online properties. We supply the technology to show the right ad to the right user at the right time.
Computational Advertising is one of the most challenging areas for algorithmic optimization due to the scale of the problem, direct impact on the business and because of the interplay of multiple areas like machine learning, statistics, data mining, data streams, computational economics and econometrics. We build advanced and highly scalable algorithms to optimize performance for advertiser, publisher, ad-network and user. We work on traffic quality prediction, fraud and spam detection, pricing and monetization for direct supply, experimentation platform for advertising and online bid optimization.
An Applied Scientist is responsible for solving complex big-data problems in online advertising space using data mining, machine learning, statistical analysis and computational economics. An ideal candidate should have strong depth and breadth knowledge in machine learning, data mining and statistics. The candidate should have reasonable programming and design skills to manipulate unstructured and big data and build prototypes that work on massive datasets. The candidate should be able to apply business knowledge to perform broad data analysis as a precursor to modeling and to provide valuable business intelligence.