Company Overview
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth’s most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You’ll also hear us say that at Amazon, it’s always “Day 1.” What do we mean? That our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.
About the job
Description
Are you a MS or PhD student interested in a 2025 Internship in Data Science? If so, we want to hear from you!
We are looking for a customer obsessed Data Scientist Intern who can innovate in a business environment, building and deploying machine learning models to drive step-change innovation and scale it to the EU/worldwide.
If this describes you, come and join our Data Science teams at Amazon for an exciting internship opportunity. If you are insatiably curious and always want to learn more, then you’ve come to the right place.Key job responsibilities
As a Data Science Intern, you will have following key job responsibilities:
- Work closely with scientists and engineers to architect and develop new algorithms to implement scientific solutions for Amazon problems.
- Work on an interdisciplinary team on customer-obsessed research
- Experience Amazon’s customer-focused culture
- Create and Deliver Machine Learning projects that can be quickly applied starting locally and scaled to EU/worldwide
- Build and deploy Machine Learning models using large data-sets and cloud technology.
- Create and share with audiences of varying levels technical papers and presentations
- Define metrics and design algorithms to estimate customer satisfaction and engagement
- Basic Qualifications
- Are enrolled in a Master’s degree in computer science, machine learning, engineering, or related fields
- Speak, write, and read fluently in English
Preferred Qualifications
- Experience in at least one of the related science disciplines (optimization – LP, MIP, statistics, machine learning, process control, combinatorial optimization)
- Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)
- Experience with big data: processing, filtering, and presenting large quantities (100K to Millions of rows) of data
- Experience implementing algorithms using both toolkits and self-developed code
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