Are you seeking an environment where you can drive innovation? Do you want to apply learning techniques and advanced mathematical modeling to solve real world problems? Do you want to play a key role in the future of Amazon's Retail business? Come and join us! The Amazon Demand Forecasting team seeks an Applied Scientist to join our team. Scientists in Demand Forecasting lead the development of novel algorithmic architectures, toward the ultimate goal of accurately predicting customer demand for millions of products world-wide. This drives down supply chain costs and enables the offer of lower prices and better in-stock selection for our customers. Working collaboratively, you will develop solutions to complex problems, such as designing the next generation of algorithms to drive the Supply Chain. As an Applied Scientist, you will continue to contribute to the research community, by working with other scientists across Amazon and our Supply Chain, as well as collaborating with academic
· Ph.D./M.S. in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field · 2 years of hands-on experience in predictive modeling and analysis · 2 years hands-on experience in Python, Perl, Scala, Java, C#, C++ or other similar languages · Proficiency in model development, model validation and model implementation for large-scale applications · Ph.D. in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field · 1+ years professional experience in software development · Strong CS fundamentals in data structures,