Luxembourg Job Openings
Amazon EU SARL
Applied Scientist, ATS Science and Technology
Luxembourg
FULL TIME
October 14, 2024
- Master's degree
- Experience in building models 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
If so, we look forward to hearing from you!
Amazon Transportation Services is seeking an Applied Scientist to be based in the EU Headquarters in Luxembourg. As a key member of the Research Science Team of ATS operations, this person will be responsible for designing algorithmic solutions based on data and mathematics for optimizing the middle-mile Amazon Transportation Network. The successful applicant will ensure that our end-to-end strategies in terms of customer demand fulfillment, routing, consolidation locations, linehaul/airhaul/sea options and last-mile transportation are streamlined and optimized.
Key job responsibilities
This critical role requires an aptitude for independent initiative and decision-making, the ability to drive innovation in Transportation modelling and optimization across Amazon’s expanding European network and linking into global initiatives and expansion strategies.
- Design and prototype algorithmic solutions for standardized processes.
- Lead complex time-bound, long-term as well as ad-hoc transportation modelling analyses to help management in decision making.
- Communicate to leadership results from business analysis, strategies and tactics (for senior candidates).
- Drive large-scale projects to scale and enhance Amazon’s EU transportation network (for senior candidates).
- Partner with the planning, linehaul/airhaul and sort center operations teams, while working closely with last-mile, supply chain, and global delivery departments for modeling and optimizing the transportation network of EU.
We are a global science and tech team for developing cutting-edge optimization models for Amazon's middle mile network. We are owning the entire lifecycle of tech products from idea to production-use and deploy our tools on a worldwide basis. Our team is composed of a wide variety of tech roles including scientists, software engineers and business intelligence engineers.
- Experience using Unix/Linux
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience applying theoretical models in an applied environment
- Experience implementing algorithms using both toolkits and self-developed code
- Ph D
- Experience in CS, CE, ML or related field
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