Amazon Fulfillment Services is looking for a motivated individual with strong analytical skills and practical experience to join our Modeling and Optimization team. We are hiring specialists at all levels into our scientific team with expertise in machine learning, network and combinatorial optimization, algorithm design, and/or control theory. Amazon.com has an annual revenue of $233B and is growing rapidly. Because we are driven by faster delivery to customers, a more efficient supply chain network, and lower cost of operations, our main focus is in the development of analytical strategic models and automation tools fed by our massive amounts of available data. You will be responsible for building these models/tools that improve the economics of the North American, European, and Japanese fulfillment networks as Amazon increases the speed and decreases the cost to deliver products to customers. You will identify and evaluate opportunities to reduce variable costs by improving the fulfillment
- Ph.D. in Operations Research, Computer Science, Applied Mathematics or a related field. - Experience writing scripts (Perl, Python, Ruby, Groovy) to manipulate data and developing software in traditional programming languages (C++, Java). - Experience designing simulation and optimization models in for business decisions (e.g., staff/job scheduling, network routing, facility location) and/or feedback and/or predictive control. - Experience in designing/implementing online algorithms and approximation schemes for hard optimization problems addressing particular business needs (e.g. dynamic resource