Do you like working on projects that are highly visible and are tied closely to Amazon's growth?
Are you seeking an environment where you can drive innovation leveraging the scalability and innovation with Amazon's AWS cloud services?
The Amazon International Technology Team is hiring Applied Scientists to work in our Software Development Center in Sao Paulo.
The Intech team builds International extensions and new features of the Amazon.com web site for individual countries and creates systems to support Amazon operations.
We have already worked in Germany, France, UK, India, China, Italy, Brazil and more.
Key job responsibilitiesAbout you
You want to make changes that help millions of customers.
You don't want to make something 10% better as a part of an enormous team.
Rather, you want to innovate with a small community of passionate peers.
You have experience in analytics, machine learning and big data, and a desire to learn more about these subjects.
You want a trusted role in strategy and product design.
You put the customer first in your thinking.
You have great problem solving skills.
You research the latest data technologies and use them to help you innovate and keep costs low.
You have great judgment and communication skills, and a history of delivering results.
Your ResponsibilitiesDefine and own complex machine learning solutions in the consumer space, including targeting, measurement, creative optimization, and multivariate testing.Influence the broader team's approach to integrating machine learning into business workflows.Advise senior leadership, both tech and non-tech.Make technical trade-offs between short-term needs and long-term goals. BASIC QUALIFICATIONS3+ years of building machine learning models for business application experiencePhD, or Master's degree and 6+ years of applied research experienceExperience programming in Java, C++, Python or related languageExperience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONSExperience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is committed to a diverse and inclusive workplace.
Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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