Applied Scientist, EU INTech

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Full time
Location: Cambridge
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Job offered by: Amazon
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Category:
Job ID: 2790938 | Amazon Europe Core Sarl 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 worldwide.

Key job responsibilities We are looking for Applied Scientists who are passionate about solving highly ambiguous and challenging problems at a global scale. You will be responsible for major science challenges for our team, including forecasting, ranking, and recommendations. 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 sellers 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 on 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. BASIC QUALIFICATIONS

- PhD, or a Master's degree and experience in CS, CE, ML or related field - Experience in building models for business applications - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python, or related languages - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS

- Experience using Unix/Linux - Experience in professional software development 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 (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use, and transfer the personal data of our candidates. Posted:

December 27, 2024 (Updated 8 days ago)

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