A fulfillment center can appear to be a chaotic place. With millions of items moving in and out of an area twice as large as your average theme park every day, a quick peek under the roof would reveal a manic scene. You would see associates, machinery, vehicles, robots, and packages flying about at break-neck speeds and accessing a breathtaking number of shelves and bins that store products. In reality, however, this activity is all highly organized and orchestrated by software, with each movement carefully planned and optimized. However, there are times when mistakes occur: products may disappear, reappear in strange places, become damaged, or worse. When that happens, how does a fulfillment center operating at that size, speed, and scale recover gracefully and with minimal cost? How do we ensure that we meet our commitments to our customers and merchants? How do we find a needle in a haystack when we're constantly shuffling the haystack around? And how do we do it at extreme scale in an environment of constant growth?
That's where we come in, the AFT Inventory Entropy Management team. Our goal is to prevent entropy in a system in which there are billions of transactions driven by human and robotic input across hundreds of millions of items every year. We must ensure that the virtual and physical state of the world is aligned inside hundreds of Amazon's fulfillment centers globally. When our job is done well mistakes are corrected quickly, and products are always ready to sell and ship.
We operate at a nexus of machine learning, computer vision, robotics, and healthy measure of hard-earned expertise in operations to build automated, algorithmic approaches to solving these problems at minimal cost. We create cutting edge software, building automated processes and workflows in the most complex operational problem space in the business world. So what should you expect from this role?
Major responsibilities: As a Data Scientist you will be working in one of the world's largest and most complex data analytics environments. You should have deep expertise in analyzing huge data sets from multiple domains. You should be expert at designing and implementing solutions that use a range of data science methodologies to automate data analysis or to solve complex business problems. You will design metrics for complex systems. You will deep dive ML training data and feature sets to drive improvements. You will partner with Research and Applied Scientists, SDEs, Technical Program Managers, Product Managers, and business leaders to identify solutions to large problems in Amazon Operations.
Amazon is a company operating a marketplace for consumers, sellers, and content creators.