Senior Applied Scientist, EU GTS RASJob ID: 2830438 | Amazon Business EU SarlHave you ever wished to build high standard Operations Research and Machine Learning algorithms to optimize one of the most complex logistics networks?
Have you ever ordered a product on Amazon websites and wondered how it got delivered to you so fast, and what kinds of algorithms & processes are running behind the scenes to power the whole operation?
If so, this role is for you.The team:Global transportation services, Research and applied scienceOperations is at the heart of the Amazon customer experience.
Each action we undertake is on behalf of our customers, as surpassing their expectations is our passion.We improve customer experience through continuously optimizing the complex movements of goods from vendors to customers throughout Europe.
Global transportation analytical teams are transversal centers of expertise, composed of engineers, analysts, scientists, technical program managers, and developers.
We are focused on Amazon's most complex problems, processes, and decisions.
We work with fulfillment centers, transportation, software developers, finance, and retail teams across the world to improve our logistic infrastructure and algorithms.GTS RAS is one of those Global transportation scientific teams.
We are obsessed with delivering state-of-the-art OR and ML tools to support the rethinking of our advanced end-to-end supply chain.
Our overall mission is simple: we want to implement the best logistics network, so Amazon can be the place where our customers can be delivered the next day.The role:Applied scientist, speed and long-term network designThe person in this role will have end-to-end ownership of augmenting RAS Operation Research and Machine Learning modeling tools.They will help understand where the constraints in our transportation network are and how we can remove them to make faster deliveries at a lower cost.
Concretely, you will be responsible for designing and implementing state-of-the-art algorithms in transportation planning and network design, to expand the scope of our Operations Research and Machine Learning tools, to reflect the constantly evolving constraints in our network.You will enable the creation of a product that drives ever-greater automation, scalability, and optimization of every aspect of transportation, planning the best network and modeling the constraints that prevent us from offering more speed to our customers, to maximize the utilization of the associated resources.The impact of your work will be in the Amazon EU global network.
The product you will build will span across multiple organizations that play a role in Amazon's operations and transportation and the shopping experience we deliver to customers.
Those stakeholders include fulfillment operations and transportation teams, scientists and developers, and product managers.#J-18808-Ljbffr