Applied Scientist, Last Mile

Overview

Amazon’s Last Mile Team is looking for a passionate individual with strong optimization and analytical skills to join its Last Mile Science team in the endeavor of designing and improving the most complex planning of delivery network in the world.

Last Mile builds global solutions that enable Amazon to attract an elastic supply of drivers, companies, and assets needed to deliver Amazon's and other shippers' volumes at the lowest cost and with the best customer delivery experience. The Last Mile Science team owns the core decision models in the space of jurisdiction planning, delivery channel and modes network design, capacity planning for on the road and at delivery stations, routing inputs estimation and optimization.

Our research has direct impact on customer experience, driver and station associate experience, Delivery Service Partner (DSP) success, and the sustainable growth of Amazon.

Optimizing the last mile delivery requires deep understanding of transportation, supply chain management, pricing strategies and forecasting. Through innovative and strategic thinking, we make the right capital investments in technology, assets and infrastructure that allow for long‑term success. Our team members have an opportunity to be on the forefront of supply‑chain thought leadership by working on some of the most difficult problems in the industry with some of the best product managers, scientists, and software engineers.

Candidates will be responsible for developing solutions to better manage and optimize delivery capacity in the last mile network. They should have solid research experience in one or more technical areas of Operations Research or Machine Learning. This position focuses on identifying and analyzing opportunities to improve existing algorithms, and on optimizing system policies across the management of external delivery service providers and internal planning strategies.

The role requires superior logical thinking, the ability to quickly approach large ambiguous problems, to translate high‑level business requirements into mathematical models, to choose the right solution approach, and to contribute to the software development for production systems. Candidates must independently mine and analyze data and use any necessary programming and statistical analysis software. They must thrive in fast‑paced environments that encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, and align research focuses with Amazon’s strategic needs.

• 1+ years of programming in Java, C++, Python or related language experience
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience building machine learning models or developing algorithms for business application
• 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, high‑performance computing

• Experience using Unix/Linux
• Experience in professional software development

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.