Research Scientist
amazon
Luxembourg, LU
il y a 2j

EU Global Transportation Services (GTS) is a team responsible for the end-to-end flow of goods from our vendors and sellers to Amazon customers all over Europe, in order to ensure a speedy and reliable customer delivery in the cheapest way possible.

The GTS organisation is all about network design and tactical execution as well as cost and performance management of the full network, including long-term strategic planning and transportation contracts on a global platform.

As a Research Scientist, you will design, model and implement state-of-the-art solution in transportation planning and network design, ensuring that end-to-end transportation strategies are streamlined and optimised.

You will also identify opportunities and implement changes to improve network’s performance, simplify processes, and leverage existing resources.

You will enable the creation of products that drive ever-greater automation, scalability and optimisation of every aspect of transportation, removing cost and delivering speed of execution for our customers.

The impact of your work will be in the Amazon EU global network.

This critical role requires an aptitude for taking quick initiative, thinking big, and delivering results to drive innovation in transportation modelling and optimisation across Amazon’s expanding global network.

Tasks / Responsibilities :

  • Build decision-making models / algorithms and propose solutions for business and operational problems.
  • Design and prototype tools to automate standardised processes and optimise trade-offs across the full decision space.
  • Contribute to the mid- and long-term strategic planning studies and analysis.
  • Analyse historical data to identify trends and support decision making.
  • Apply statistical, operations research, analytical, or machine learning knowledge to specific business problems and data.
  • Improve upon existing methodologies by developing new data sources, developing new models or algorithmic enhancements, and fine-tuning model parameters.
  • Conduct written and verbal presentations to share insights and recommendations to audiences of varying levels of technical sophistication.
  • Collaborate with multiple teams and have cross-organisational impact.
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