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Applied Scientist, Science and Technology
il y a 2 semaines
PhD in Operations Research, Machine Learning, Statistics, Applied Mathematics, Computer Science or other field related to algorithms and data.
Excellent written and verbal communication skills.
Experience with some programming language (Java/python/C++)
**Research experience in one or more**:
Combinatorial optimization problems (e.g., scheduling, vehicle routing, facility location). + Continuous optimization problems (e.g., linear programming, convex programming, non-convex programming). + Predictive analytics (e.g., forecasting, time-series, neural networks) + Prescriptive analytics (e.g., stochastic optimization, bandits, reinforcement learning).
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 an Applied Scientist to be based in our London office
As a key member of the Science and Tech 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.
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.
- 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.
Amazon is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
Luxembourg, LUX
Experience from working in a fast-paced applied research environment.
Ability to handle ambiguity.
Top tier publications pertinent to the field of study.
