Amazon is looking for an applied scientist to help build next generation models in the Inventory Management Systems in the Supply Chain Optimization Technology group. We are a group of Research Scientists who answer questions on Amazon's inventory placement and control- both strategic and tactical. Our research powers core retail functions in 11+ countries, supporting +$80 billion revenue. As an Applied Scientist in our group, you will work with other research scientists, software engineers, product managers and business teams to understand the current challenges in our inventory systems, map these challenges to scientific models, innovate solutions to address those problems using techniques in Machine Learning (ML) and Optimization and to pick the right tools to deploy these solutions at scale. You will be a part of shaping the future ML roadmap of Supply Chain at Amazon. Your work will be visible to the highest business leaders in the Supply Chain Optimization Technology organization and will impact on how we serve our customers so that they get the right product at the right time.
* Develop, prototype and help deploy ML/OR models to predict new inputs to our inventory management systems as well as improve the quality of the inputs that are already used * Develop prototype and help deploy ML models that help in alarming when the output of our Inventory Management systems is deemed faulty * Explain the model and outputs to business leaders * Own end-to-end solution in terms of research, prototyping, experimentation to eventual roll-out * Be a bridge between different scientific methods (ML/Optimization/Statistics) and pick the best model to help our customers * Mentor and develop scientist community across the organization
Amazon is a company operating a marketplace for consumers, sellers, and content creators.