Amazon Europe Core
Amazon Europe Core

Senior Applied Scientist, ATS Science and Technology

  • +3
  • +39
  • LU
    Luxembourg
Interesse zeigen
  • +3
  • +39
  • LU
    Luxembourg

Über

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, data engineers and business intelligence engineers.

Have you ever wondered how Amazon delivers timely and reliably hundreds of millions of packages to customer's doorsteps? Are you passionate about data and mathematics, and hope to impact the experience of millions of customers? Are you obsessed with designing simple algorithmic solutions to very challenging problems?

If so, we look forward to hearing from you!

Amazon Transportation Services is seeking a Senior 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.

Senior Applied Scientist, ATS Science and Technology
Job ID: 2834734 | Amazon EU Sarl

Wünschenswerte Fähigkeiten

  • Python
  • Innovation
  • R
  • Business Analysis
  • Prototyping
  • Applied Mathematics
  • Scheduling
  • Planning
  • Communication
  • Linear Programming
  • Leadership
  • Big Data
  • Java
  • Statistics
  • Neural Networks
  • Algorithms
  • Communication
  • Machine Learning
  • Matlab
  • Forecasting
  • Engineering
  • Optimization
  • Routing
  • Management
  • C++
  • Computer Science
  • Machine Learning
  • Statistics
  • Applied Mathematics
  • Engineering
  • Computer Science
  • C++
  • Java
  • Python
  • Linear Programming
  • LSTM
  • R
  • Matlab
  • Hadoop
  • Luxembourg

Berufserfahrung

  • Machine Learning
  • Data Engineer
  • Business Analyst

Sprachkenntnisse

  • German