Are you seeking an environment where you can drive innovation? Do you want to apply machine learning techniques and advanced statistical modeling to solve real world problems in one of the world’s largest Supply Chain Management systems? Do you want to play a crucial role in the future of Amazon's Retail business? The Buying team is part of Amazon’s Supply Chain Optimization Technology/Inventory Planning and Control organization, and is responsible for deciding how much inventory to carry of every single item offered by Amazon Retail on all of Amazon’s websites worldwide. Consuming inputs including demand forecasts, placement options, and vendor capability data, our buying system automatically computes the optimal inventory levels and re-order quantities for every single item in our Retail catalog every single day. As an Applied Scientist in Buying, you will operate at the apex of multiple advanced Amazon systems, getting global visibility of how Amazon functions and serves our customers
· MS in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field. · 5+ years of hands-on experience in predictive modeling and analysis. · 4+ years hands-on experience programming in Java, C#, C++, Python, R or other similar programming languages. · Proficiency in model development, model validation and model implementation for large-scale applications. · Strong communication and data presentation skill.The ideal candidate will have a PhD in Mathematics, Statistics, Machine Learning, or a related quantitative field, and 7+ years of relevant work experience,