Applied Science Manager, Intech Latam Apac Ml

Há 5 dias


Santa Helena, Brasil Amazon Servicos De Varejo Do Brasil Ltda. Tempo inteiro

DESCRIPTIONDo 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 youYou 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 Responsibilities- Define 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.- Manage a team of scientists and engineersBASIC QUALIFICATIONS- 3+ years of scientists or machine learning engineers management experience- Knowledge of ML, NLP, Information Retrieval and Analytics- Experience directly managing scientists or machine learning engineers



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