Applied Scientist, EU STEP Science and Tech

Have you ever wondered how Amazon delivers timely and reliably hundreds of millions of packages to customers 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 STEP Science and Tech is seeking Applied (or Research) Scientists. As a key member of the central Research Science Team of logistic operations these persons will be responsible for designing algorithmic solutions based on data and mathematics for optimizing the end-to-end Amazon supply chain network.

The job is opened in the EU Headquarters in Luxembourg (alternatively: Barcelona Berlin or London) designed to maximize interaction with the team and stakeholders.

Basic qualifications
* PhD in Operations Research Machine Learning Statistics Applied Mathematics Computer Science or other field related to algorithms and data (or equivalent experience).
* 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).


Preferred qualifications
* Experience from working in a fast-paced applied research environment.
* Ability to handle ambiguity.
* Top tier publications pertinent to the field of study.


Key job responsibilities
Solve complex optimization and machine learning problems using scalable algorithmic techniques.

Design and develop efficient research prototypes that address real-world problems in the massive logistics network of Amazon.

Lead complex time-bound long-term as well as ad-hoc analyses to assist decision making.

Communicate to leadership results from business analysis strategies and tactics.

A day in the life
You will be brainstorming algorithmic approaches with team-mates to solve challenging problems for Amazon logistics operations.

You will be developing and testing prototype solutions with above algorithmic techniques.

You will be scavenging information from the sea of Amazon data to improve these solutions.

You will be meeting with other scientists engineers stakeholders and customers to enhance the solutions and get them adopted.

About the team
The Science and Tech (SnT) team of EU STEP is looking for candidates who are looking to impact the world with their mathematical and data-driven skills.

We are the End-to-End Supply Chain optimizers. As the core research team we grow Amazons logistics business to support decision making in an increasingly complex ecosystem of a data-driven supply chain and e-commerce giant.

Our mathematical algorithms provide confidence in leadership to invest in programs of several hundreds millions euros every year.
Above all we are having fun solving real-world problems in real-world speed while failing & learning along the way.
We use modular algorithmic designs in the domain of combinatorial optimization solving complicated generalizations of core OR problems with the right level of decomposition employing parallelization and approximation algorithms.

We use deep learning bandits and reinforcement learning to put data into the loop of decision making.

We like to learn new techniques to surprise business stakeholders by making possible what they cannot anticipate. For this reason we work closely with Amazon scholars and experts from Academic institutions.

We code our prototypes to be production-ready

We prefer provably optimal solutions than heuristics though we settle for heuristics when performance dictates it. Overall we appreciate the value of correct modeling.

- PhD or a Masters degree and experience applying theoretical models in an applied environment
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience programming in Java C Python or related language

- Experience in professional software development
- PhD in operations research applied mathematics theoretical computer science or equivalent
- Experience using Unix/Linux

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.

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