Manager Applied Scientist
Manager Applied Scientist
Posted on :
06-04-2025
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1 Vacancy
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Job Description
Welcome to the Worldwide Returns & ReCommerce team (WWR&R) at Amazon.
WWR&R is an agile innovative organization dedicated to making zero happen to benefit our customers our company and the environment. Our goal is to achieve the three zeroes: zero cost of returns zero waste and zero defects. We do this by developing products and driving truly innovative operational excellence to help customers keep what they buy recover returned and damaged product value keep thousands of tons of waste from landfills and create the best customer returns experience in the world. We have an eye to the future we create longterm value at Amazon by focusing not just on the bottom line but on the planet. We are building the most sustainable reuse channel we can by driving multiple aspects of the Circular Economy for Amazon Returns & ReCommerce.
Amazon WWR&R is comprised of business product operational program software engineering and data teams that manage the life of a returned or damaged product from a customer to the warehouse and on to its next best use. Our work is broad and deep: we train machine learning models to automate routing and find signals to optimize reuse; we invent new channels to give products a second life; we develop highly respected product support to help customers love what they buy; we pilot smarter product evaluations; we work from the customer backward to find ways to make the return experience remarkably delightful and easy; and we do it all while scrutinizing our business with laser focus.
You will help create everything from customerfacing and vendorfacing websites to the internal software and tools behind the reverselogistics process. You can develop scalable highavailability solutions to solve complex and broad business problems.
We are a group that has fun at work while driving incredible customer business and environmental impact. We are backed by a strong leadership group dedicated to operational excellence that empowers a reasonable worklife balance. As an established experienced team we offer the scope and support needed for substantial career growth.
Amazon is earths most customercentric company and through WWR&R the earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns & ReCommerce team!
3 years of scientists or machine learning engineers management experience
Knowledge of ML NLP Information Retrieval and Analytics
4 years of building machine learning models or developing algorithms for business application experience
2 years of programming in Java C Python or related language experience
Excellent oral and written communication skills with the ability to communicate complex technical concepts and solutions to all levels of the organization
PhD in math/statistics/engineering or other equivalent quantitative discipline
Experience building machine learning models or developing algorithms for business application
Experience with deep learning libraries such as PyTorch TensorFlow MxNet Research publications in computer vision deep learning or machine learning at peerreviewed workshops conferences or journals
Proven achievements of developing and managing a longterm research vision and portfolio of research initiatives with algorithms and models that have been successfully integrated in production systems.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
WWR&R is an agile innovative organization dedicated to making zero happen to benefit our customers our company and the environment. Our goal is to achieve the three zeroes: zero cost of returns zero waste and zero defects. We do this by developing products and driving truly innovative operational excellence to help customers keep what they buy recover returned and damaged product value keep thousands of tons of waste from landfills and create the best customer returns experience in the world. We have an eye to the future we create longterm value at Amazon by focusing not just on the bottom line but on the planet. We are building the most sustainable reuse channel we can by driving multiple aspects of the Circular Economy for Amazon Returns & ReCommerce.
Amazon WWR&R is comprised of business product operational program software engineering and data teams that manage the life of a returned or damaged product from a customer to the warehouse and on to its next best use. Our work is broad and deep: we train machine learning models to automate routing and find signals to optimize reuse; we invent new channels to give products a second life; we develop highly respected product support to help customers love what they buy; we pilot smarter product evaluations; we work from the customer backward to find ways to make the return experience remarkably delightful and easy; and we do it all while scrutinizing our business with laser focus.
You will help create everything from customerfacing and vendorfacing websites to the internal software and tools behind the reverselogistics process. You can develop scalable highavailability solutions to solve complex and broad business problems.
We are a group that has fun at work while driving incredible customer business and environmental impact. We are backed by a strong leadership group dedicated to operational excellence that empowers a reasonable worklife balance. As an established experienced team we offer the scope and support needed for substantial career growth.
Amazon is earths most customercentric company and through WWR&R the earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns & ReCommerce team!
3 years of scientists or machine learning engineers management experience
Knowledge of ML NLP Information Retrieval and Analytics
4 years of building machine learning models or developing algorithms for business application experience
2 years of programming in Java C Python or related language experience
Excellent oral and written communication skills with the ability to communicate complex technical concepts and solutions to all levels of the organization
PhD in math/statistics/engineering or other equivalent quantitative discipline
Experience building machine learning models or developing algorithms for business application
Experience with deep learning libraries such as PyTorch TensorFlow MxNet Research publications in computer vision deep learning or machine learning at peerreviewed workshops conferences or journals
Proven achievements of developing and managing a longterm research vision and portfolio of research initiatives with algorithms and models that have been successfully integrated in production systems.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Manager
Employment Type
Full-Time
Key Skills
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