Principal Research Scientist
- Seattle, WA
The Amazon Topology team determines how many, what kind, and where to place new buildings for Amazon's supply chain. These facilities range from million-square-foot Fulfillment Centers with thousands of robots down to inner-city Prime Now facilities serving orders to be fulfilled within an hour. Each year we spend billions on these facilities and expect high-impact results from the network built upon them. That network is expanding faster than ever. If you are interested in diving into a multi-discipline, high impact space this team is for you.
We are looking for an industry-leading Research Scientist. In this role, you will be building models on and doing ac-hoc consulting on the design of Amazon's entire supply chain network. Within that, you will take ownership over modeling business segments worth many-billions-of-dollars and geographies spanning many markets. There are teams of software engineers, business intelligence engineers, and other scientists to support building out models in detail, bringing them to production, and automating data ingestion.
• PhD in a quantitative field such as Mathematics, Statistics, Physics, Engineering, Computer Science, Economics
• 10+ years of industry experience
• 4+ years modeling supply chain related problems
• Excellent communication skills, both written and oral with both technical and business people. Ability to speak at a level appropriate for the audience. Experience applying these skills in both academic teaching environment and a business setting is a plus.
• Excellent writing skills for presenting business cases and to document the models and analysis and present the results/conclusions in order to influence important decisions.
• A working knowledge of smooth and non-smooth optimization methods accompanied by associated expertise in the use of tools and the latest technology (e.g. CPLEX, Gurobi, XPRESS).
• Experience with high-impact decisions (>$1B)
• Experience with machine learning and optimization in production
• Experience with fully automated machine training (e.g. automatic re-training, automatic testing)
• Experience with complex supply chains (>100 facilities, >1000 routes)
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