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 Amazon's 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 cross-team perspectives, use quantitative methods to derive justification, and build consensus on a roadmap on the required level of analyses to meet goal
