Do you want to be involved in predictive models from huge volumes of past data such as customer usage, firmographic data, characteristics of services and their relations, prices, and promotions, combined with geography? Do you want to develop infinitely-scalable algorithms for machine learning on the cloud that optimize Amazon’s systems using cutting edge quantitative techniques? Do you want to see your work have a huge impact to company’s results? Amazon has the world’s richest collection of e-commerce data: Hundreds of millions of customers and products, billions of transactions, petabytes of data. We need your skills to help us drive adoption and optimize the AWS customer experience. A core part of our operations is forecasting: how can we use qualitative and quantitative intuitions to predict customer behavior such that we can provide our sales people the right information at the right time to reduce the sales cycle and drive faster adoption. The Tech360 team is central to evidence-driven
· 5+ years of experience in building quantitative solutions. · A Bachelor's degree in a quantitative field, computer science, or related engineering discipline is required.· 10+ years of experience building and applying Machine Learning and analytic applications. · Advance degree (PhD) in Statistical Learning or a related field · Experience with time series forecasting · Advanced knowledge of big data analytics technology · Skills with Java, C++ (or other high-level programming language) as well as R, MATLAB, Python (or similar scripting language) · The candidate should have good communication