Data Science Internship at Amazon in Germany
As a data scientist intern in the Intelligent Cloud Control team, the intern partner with technology and business teams to build new services that surprise and delight Amazon customers. The position will own mining these vast datasets for business insights, developing prototypes to evaluate the viability of new approaches, and designing sustainable data products from these opportunities. In addition to that, s/he will collaborate with software development engineers to integrate their models into the customer experience.
Basically, the position on Data Science Internship at Amazon will work on mathematical and data problems with a large element of unpredictability. They will analyze and process large amounts of data to find insights that impact every development team at Amazon. They will also develop new sophisticated algorithms and improve existing approaches using statistical models, machine learning algorithms, and big data solutions. Furthermore, the products intern deliver will revolutionize the way that the Amazon website responds to operational issues, leveraging the most recent advances in machine learning and distributed computing to build automatic remediation systems that cut through the noise and surface emergent issues in real-time.
Amazon.com, Inc. is an American multinational technology company based in Seattle that focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence. Overall, it is one of the Big Four tech companies, along with Google, Apple, and Facebook. In addition to that, it is the world’s largest online marketplace, AI assistant provider, and cloud computing platform as measured by revenue and market capitalization. In addition to that, Amazon is the largest Internet company by revenue in the world. It is also the second-largest private employer in the United States and one of the world’s most valuable companies.
Type of Opportunity | Internships |
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Deadline | 17 May,2020 |
Country | Germany |
City | Berlin |
Open to | All |
Organizer | Amazon |