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Applied Scientist
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Applied Scientist, Eu Intech
il y a 2 semaines
PhD, or a Master's degree and experience in CS, CE, ML or related field
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Amazon's EU International Technology (EU INTech) Selection Expansion (SelEx) charter mission is to accelerate the selection flywheel for Sellers. To achieve our mission, we drive bottoms-up innovations with the mental model of the EU first solution and scale WW.
Our North Star is to delight Sellers with an automated selection expansion experience to help them grow their business, bringing their selection to all customers world-wide.
Key job responsibilities
We are looking for Applied Scientists who are passionate to solve highly ambiguous and challenging problems at global scale. You will be responsible for major science challenges for our team, including forecasting, ranking and reccomendations. You will design, develop, deliver and support a variety of models in collaboration with a variety of roles and partner teams around the world. You will influence scientific direction and best practices and maintain quality on team deliverables.
A day in the life
You will work with Sr and Principal PM-T, TPM, BIE and other APSCI (internal and external to the team) to create solutions/models that will help seller to maximize the value of their investments while expanding in EU and WW. You will be supported by a team of more than 25 engineers to build the next chapter of selection expansion.
About the team
We are builders focused in one of the most critical sections of the flywheel: Selection.
We built and own solutions such as Exports Central and EEA (European Expansion Accelerator), and continue to evolve and create ways to bring selection around the world.
- Experience using Unix/Linux
- Experience in professional software development
