Amazon’s Modeling and Optimization (MOP) Team is looking for a passionate individual with strong optimization and analytical skills to join us in the endeavor of designing and improving the most complex transportation and fulfillment network in the world.
The team is responsible for optimizing the global transportation and fulfillment network for Amazon.com and ensuring that the company is able to deliver our customers’ products to them as quickly, accurately, and cost effectively as possible.
We design the network that delivers products from vendors and sellers to end customers, through both Amazon’s internal network as well as external partners, using multiple transportation modes.
Optimizing the end-to-end network requires deep understanding of inventory management, placement, transportation, and supply chain management.
Only through innovative and strategic thing, we will make the right capital investments in technology, buildings and equipment that allows for long-term success.
Key job responsibilities
We are seeking an experienced scientist who has a solid background in Operations Research, Supply Chain Management, Applied Mathematics, or other similar domain.
In this role, you will develop and deploy models and tools that are innovative and scalable to solve new challenges in Amazon's global fulfillment network.
You will collaborate with other scientists across teams to create integrated solutions that improves fulfillment speed, cost, and carbon emission.
You have deep understanding of business challenges and provide scientific analysis to support business decision using a range of methodologies.
You design science tool platforms, deploy models, create data pipelines, or simplify existing processes.
About the team
We are open to hiring candidates to work out of one of the following locations :
Bellevue, WA, USA
BASIC QUALIFICATIONS
- PhD, or Master's degree and 3+ years of science, technology, engineering or related field experience
- Experience programming in Java, C++, Python or related language
- Experience building machine learning models or developing algorithms for business application
- Experience implementing algorithms using both toolkits and self-developed code
PREFERRED QUALIFICATIONS
- Experience with logistic transportation network design.
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