Have you ever wondered how Amazon designs its transportation network to scale and reliably deliver hundreds of millions of package to customer’s doorsteps?
Are obsessed with designing and building complex network solutions and solving challenging problems? Do you think outside of the box and challenge the status quo?
If so, we look forward to hearing from you!
Amazon Transportation Services is seeking an Operations Research Scientist to be based out of the EU Headquarter in Luxembourg.
As a key part of the Transportation Network Design and Optimization Team, this person will be responsible for designing, modelling and implementing optimal middle-
mile strategies for EU. The successful applicant will ensure that our end to end network strategies in terms of Fulfilment Centres production, customer demand, consolidation locations, linehaul / airhaul options and last-
mile transportation are streamlined and optimized.
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.
Tasks / Responsibilities :
Partner with the linehaul, Airhaul and sort center operations, while working closely with lastmile transportation and logistics, fulfilment centers and supply chain teams for Transportation network modeling and optimization, in order to find the best network topology across the EU.
Design, Implement and Support the tools (product) development and automation for standardized processes.
Contribute to the Mid to Long term strategic Transportation planning process.
Lead complex ad-hoc Transportation modelling analyses to help management in the decision making process.
Communicate with senior management regarding the results of business analysis, strategies and tactics.
Driving small to medium projects that will help build Amazon’s EU Transportation network.
Amazon is an Equal Opportunity-Affirmative Action Employer Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
PhD in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field, or equivalent experience.
Experience designing optimization solutions for very-large scale applications.
Project management experience working with tech and other cross-functional teams.
Detailed knowledge of optimization methods including linear and mixed-integer programming and network modeling.
Knowledge of tools for large-scale data systems and the ability to manipulate data (e.g. SQL, Python, Perl, or Ruby).
The ability to communicating technically, at a level appropriate for the audience.
Experience designing and implementing optimization models for discrete optimization problems (e.g., scheduling, vehicle routing, and facility location) and experience with leveraging such models to provide guidance for strategic and tactical business decision making.
Excellent written and verbal communication skills with both technical and business people.
Strong problem solving ability and dealing with ambiguity.
Deep understanding of MIP strategies to customize and leverage commercial algorithms and adapt them as required.
Experience prototyping and developing software in traditional programming languages (C++ / Java / C#)
Experience implementing models and analysis tools through the use of high-level modeling languages (e.g. R, Julia, Matlab as examples).