Senior Applied Scientist Worldwide Returns Recommerce - Science
Senior Applied Scientist Worldwide Returns Recommerce - Science
Posted on :
06-04-2025
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1 Vacancy
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Job Description
Welcome to Amazons Worldwide Returns & ReCommerce (WWR&R) Team
At WWR&R were revolutionizing returns management through our innovative Zero Initiative focusing on eliminating return costs waste and defects. Our mission extends beyond conventional business metrics to create lasting value for our customers company and environment.
As pioneers in Amazons circular economy were transforming how returns are handled through edge technology and operational excellence. Our approach combines sophisticated machine learning automated routing systems and innovative reuse channels to create seamless experiences for our customers while significantly reducing environmental impact.
Our diverse team of experts in business technology and operations works collaboratively to manage the complete lifecycle of returned and damaged products. Were developing nextgeneration solutions that streamline the returns process enhance product support and create sustainable reuse opportunities.
Join us in building scalable highimpact solutions that shape the future of sustainable commerce while delivering exceptional customer experiences. At WWR&R youll be part of an innovative team thats committed to transforming returns management while contributing to a more sustainable future.
Key job responsibilities
Design develop and evaluate highly innovative models for Natural Language Programming (NLP) Large Language Model (LLM) or Large Computer Vision projects.
Use SQL to query and analyze the data.
Use Python Jupyter notebook and Pytorch to train/test/deploy ML models.
Use machine learning and analytical techniques to create scalable solutions for business problems.
Research and implement novel machine learning and statistical approaches.
Mentor junior scientists and interns by providing technical guidance for their projects.
Work closely with data & software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale.
About the team
When a customer returns a package to Amazon the request and package will be passed through our WWRR machine learning (ML) systems so that we could improve the customer experience identify return root cause optimize reuse and evaluate the returned package. Our problems touch multiple modalities spanning from: textual categorical image to speech data.
We operate at large scale and rely on stateoftheart modeling techniques to power our ML models
PhD or Masters degree and 6 years of applied research experience
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
Experience with popular deep learning frameworks such as MxNet and Tensor Flow.
Experience in building machine learning models for business application
Experience in building speech recognition machine translation and natural language processing systems (e.g. commercial speech products or government speech projects)
PhD in math/statistics/engineering or other equivalent quantitative discipline or Masters degree
Experience in building Computer Vision (CV) 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.
At WWR&R were revolutionizing returns management through our innovative Zero Initiative focusing on eliminating return costs waste and defects. Our mission extends beyond conventional business metrics to create lasting value for our customers company and environment.
As pioneers in Amazons circular economy were transforming how returns are handled through edge technology and operational excellence. Our approach combines sophisticated machine learning automated routing systems and innovative reuse channels to create seamless experiences for our customers while significantly reducing environmental impact.
Our diverse team of experts in business technology and operations works collaboratively to manage the complete lifecycle of returned and damaged products. Were developing nextgeneration solutions that streamline the returns process enhance product support and create sustainable reuse opportunities.
Join us in building scalable highimpact solutions that shape the future of sustainable commerce while delivering exceptional customer experiences. At WWR&R youll be part of an innovative team thats committed to transforming returns management while contributing to a more sustainable future.
Key job responsibilities
Design develop and evaluate highly innovative models for Natural Language Programming (NLP) Large Language Model (LLM) or Large Computer Vision projects.
Use SQL to query and analyze the data.
Use Python Jupyter notebook and Pytorch to train/test/deploy ML models.
Use machine learning and analytical techniques to create scalable solutions for business problems.
Research and implement novel machine learning and statistical approaches.
Mentor junior scientists and interns by providing technical guidance for their projects.
Work closely with data & software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale.
About the team
When a customer returns a package to Amazon the request and package will be passed through our WWRR machine learning (ML) systems so that we could improve the customer experience identify return root cause optimize reuse and evaluate the returned package. Our problems touch multiple modalities spanning from: textual categorical image to speech data.
We operate at large scale and rely on stateoftheart modeling techniques to power our ML models
PhD or Masters degree and 6 years of applied research experience
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
Experience with popular deep learning frameworks such as MxNet and Tensor Flow.
Experience in building machine learning models for business application
Experience in building speech recognition machine translation and natural language processing systems (e.g. commercial speech products or government speech projects)
PhD in math/statistics/engineering or other equivalent quantitative discipline or Masters degree
Experience in building Computer Vision (CV) 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:
Senior IC
Employment Type
Full-Time
Key Skills
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