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Turn data into actionable insights

The AWS Data Science team uses the tools our cloud platform provides to unify data preparation, machine learning, and model deployment. We scale the abilities and resources of our customers by delivering advanced functionality for data visualization, feature engineering, model interpretability, and low-latency deployment. Our culture of data-driven decision making requires advanced sales technologies that are timely, accurate, and actionable.

As part of the AWS Data Science team, you’ll discover and solve real-world problems by analyzing large amounts of business data, defining new metrics and business cases, designing simulations and experiments, creating models, and collaborating with colleagues. You’ll bring with you a strong quantitative background and thrive in an environment that leverages statistics, machine learning, operations research, econometrics, and business analysis. And in return, you’ll have the chance to work on some of the world’s largest and diverse datasets.

Learn more about Amazon’s approach to customer-obsessed science on the Amazon Science website, which features the latest news and research from scientists across the company. It’s where you can find information about the conferences we sponsor, the institutions we collaborate with, our awards program, career opportunities, challenges, and more. For the latest updates, subscribe to the monthly newsletter, and follow Amazon Science on LinkedIn, Twitter, Facebook, Instagram, and YouTube.

Interested in AWS? Start here.

We’re always glad to connect with talented people. Tell us a bit about what you want to do and we’ll keep you posted on relevant roles and what we’re building at AWS.

Videos

  • Meet our scientists

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    Find how how Amazon scientists are advancing the state-of-the-art in customer-obsessed science and innovation.

  • Working at Amazon

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    Five scientists share what they enjoy about working at Amazon, and how they’re advancing customer-obsessed science.

  • Student hires around the world

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    Meet recent graduates from different Amazon locations around the world who now work as applied scientists at the company.