The Network Topology group within Supply Chain Optimization Technologies (SCOT) Forecasting is looking for a Sr. Principal Scientist in Seattle, WA.
Network topology tackles some of the most mathematically complex challenges in facility and transportation planning to improve Amazon's operational efficiency worldwide. We own Amazon's global fulfillment center and transportation topology. We develop the models that answer questions such as how much capacity to build, what kind, when, and where to build it in order to support Amazon's long term growth. In addition, we also develop the models that recommend our transportation network design and build plans. The systems we build are entirely in-house, and are on the cutting edge of both academic and applied research in large scale supply chain planning, optimization and statistics. Team members have an opportunity to be on the forefront of supply chain thought leadership by working on some of the most difficult problems in the industry, with some of the best product managers, research scientists, statisticians, economists and software engineers in the business.
The Senior Principal Research Scientist will partner with senior leadership to develop long term strategic solutions. As a member of the scientist team, they will represent and advocate for SCOT Forecasting externally e.g. interact with and represent us to universities among other research institutions. This role will ensure that the senior executives and the decision makers in the organization are up to speed on important trends, tools and technologies and how they will be used to impact the business. They will keep abreast of capabilities and technology solutions in the area of long term facility and transportation network planning including probabilistic modeling and optimization. Furthermore, They will be in charge of identifying future skills needed across the research community and advocate the development and acquisition of those skills to senior executives across the company. The candidate will mentor senior researchers for their career development and growth.
• Ph.D. in Operations Research, Operations Management, Industrial Engineering, Statistics, Applied Mathematics, Computer Science or a related field.
• At least 10 years of experience in solving complicated problems in the area of Operations Management or similar disciplines developing strategies for large-scale networks.
• Excellent written and verbal communication skills with technical and business people; ability to speak at a level appropriate for the audience. The ideal candidate can present business cases and document the models and analysis and present the results in order to influence important decisions.
• Prior well-established world-class recognized academic experience, multiple publications in top-tier academic journals, extensive consulting background or industry experience conducting research in the aforementioned areas with proven track record in developing solutions for major business problems, demonstrating significant innovation, creativity and judgment.
• Experience in Forecasting and Supply Chains
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