Amazon is seeking a candidate to identify develop and integrate innovative solutions and programs that lead to improvements that redefine the standards for customer experience in our North American transportation network. Amazon transportation encompasses all of the operations that deliver shipments from our fulfillment centers and third party locations to customers worldwide. As an Applied Scientist for the US Speed team you will work with business science and analytics teams across the company to build state of the art data products to improve delivery speed for our customers. Because we strive for faster delivery to customers a successful candidate must be passionate about identifying and building solutions that will help drive a more efficient network and lower cost of operations. In this role you will develop scalable mathematical models to derive solution to existing network structure and create evaluation methods to track the performance and identify areas of improvements.
Key job responsibilities Research and use of statistical techniques to create scalable solutions for business problems Analyze and extract relevant information from large amounts of Amazons historical business data to help automate and optimize key features and processes and build new data analysis products Work closely with scientists and engineering teams to create and deploy new features Establish scalable efficient automated processes for large scale data analyses model development validation and implementation. Evaluate crossteam perspectives use quantitative methods to derive justification and build consensus on a roadmap on the required level of analyses to meet goal
3 years of building models for business application experience PhD or Masters degree and 4 years of CS CE ML or related field experience Experience in patents or publications at toptier peerreviewed conferences or journals Experience programming in Java C Python or related language Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
Experience using Unix/Linux Experience in professional software development
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
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