Applied Scientist I, Worldwide Returns & Recommerce - Science
Amazon· Applied Science
About this role
Welcome to the Worldwide Returns & ReCommerce team (WWR&R) at Amazon.com.
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 long-term value at Amazon by focusing not just on the bottom line, but on the planet. We are building the most sustainable re-use 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 re-use; 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 customer-facing and vendor-facing websites to the internal software and tools behind the reverse-logistics process. You can develop scalable, high-availability 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 work-life balance. As an established, experienced team, we offer the scope and support needed for substantial career growth.
Amazon is earth’s most customer-centric company and through WWR&R, the earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns & ReCommerce team!
Key job responsibilities
* Design, develop, and evaluate highly innovative models for Natural Language Programming (NLP), Large Language Model (LLM), or Large Computer Vision Models.
* 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 interns.
* 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 re-use, 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 state-of-the-art modeling techniques to power our ML models: XGBoost, BERT, Vision Transformers, Large Language Models.
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 long-term value at Amazon by focusing not just on the bottom line, but on the planet. We are building the most sustainable re-use 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 re-use; 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 customer-facing and vendor-facing websites to the internal software and tools behind the reverse-logistics process. You can develop scalable, high-availability 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 work-life balance. As an established, experienced team, we offer the scope and support needed for substantial career growth.
Amazon is earth’s most customer-centric company and through WWR&R, the earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns & ReCommerce team!
Key job responsibilities
* Design, develop, and evaluate highly innovative models for Natural Language Programming (NLP), Large Language Model (LLM), or Large Computer Vision Models.
* 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 interns.
* 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 re-use, 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 state-of-the-art modeling techniques to power our ML models: XGBoost, BERT, Vision Transformers, Large Language Models.
Basic qualifications
- Experience programming in Java, C++, Python or related language
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
Preferred qualifications
- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Frequently Asked Questions
Is the salary disclosed for the Applied Scientist I, Worldwide Returns & Recommerce - Science position at Amazon?
The salary for this Applied Scientist I, Worldwide Returns & Recommerce - Science role at Amazon is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Applied Scientist I, Worldwide Returns & Recommerce - Science position at Amazon located?
This Applied Scientist I, Worldwide Returns & Recommerce - Science role at Amazon is based in Hyderabad, Telangana, IND. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Applied Scientist I, Worldwide Returns & Recommerce - Science role at Amazon full-time or part-time?
This is listed as a full time position. It is posted as a Applied Scientist I, Worldwide Returns & Recommerce - Science role in the Applied Science department at Amazon.
Which team or department does the Applied Scientist I, Worldwide Returns & Recommerce - Science at Amazon belong to?
This Applied Scientist I, Worldwide Returns & Recommerce - Science position is part of the Applied Science department at Amazon. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Applied Scientist I, Worldwide Returns & Recommerce - Science position at Amazon?
Click the "Apply Now" button on this page. You will be redirected to Amazon's official application portal hosted on amazonjobs where you can submit your application directly.
When was the Applied Scientist I, Worldwide Returns & Recommerce - Science job at Amazon posted?
This Applied Scientist I, Worldwide Returns & Recommerce - Science position at Amazon was posted on Sep 30, 2026. Apply as soon as possible — early applications are often reviewed first.
Applied Scientist I, Worldwide Returns & Recommerce - Science
Amazon
You'll be redirected to Amazon's official application page on amazonjobs.