Amazon Go is a new kind of store with no lines and no checkout—you just grab and go! Customers simply use the Amazon Go app to enter the store, take what they want from our selection of fresh, delicious meals and grocery essentials, and go!
Our checkout-free shopping experience is made possible by our Just Walk Out Technology, which automatically detects when products are taken from the shelves and keeps track of them in a virtual cart. When you're done shopping, you can just leave the store. Shortly after, we'll charge your Amazon account and send you a receipt. Check it out at amazon.com/go.
Amazon Go team is looking for experienced operations research scientists with expertise in stochastic optimization and its application in inventory planning, supply chain management, vendor selection.
Candidate will be responsible for developing solutions to better manage/optimize inventory, while providing the best experience to our customers at the lowest possible price. This position will focus on identifying and analyzing opportunities to improve business processes and come up with strategies to enhance existing and develop new inventory planning algorithms and strategies. The successful candidate will be a person who enjoys and excels at diving into data to analyze root causes and implement long term solutions – changes in business policy or processes, updates to the models in our systems, creation of effective metrics and functionality. The goal is to improve the Amazon customer experience through improved product availability, and fulfillment reliability while enhancing profitability.
- PHD degree in operations research, management science, statistics, engineering, mathematics, or computer science
- Expertise in Optimization
- Expertise in Stochastic Processes
- Ability to develop system prototypes
- Experience utilizing problem solving and analytical skills
- Excellent written and verbal communication skills
- Proficiency in one or more of object programming languages JAVA, C++, Phyton
- Expertise in one or more of the following: optimization, probability theory, queuing theory, game theory, simulation, decision analysis, stochastic models, system dynamics, forecasting and mathematical modeling.
- A good understanding of analysis of algorithms and computational complexity is desirable.
- Technical aptitude and familiarity with the design and use of complex logistics software systems
- Familiarity with inventory planning concepts - forecasting, planning, optimization, and logistics - gained through work experience or graduate level education
- Project management experience desired for working on cross-functional projects
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