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Applied Scientist, Worldwide Returns & Recommerce - Science

Amazon

Software and Technology Jobs

Applied Scientist, Worldwide Returns & Recommerce - Science

full-timePosted: Sep 7, 2025

Job Description

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 teamWhen 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.

Locations

  • India, TS, Hyderabad, Hyderabad, TS, India

Salary

Estimated Salary Rangemedium confidence

80,000 - 180,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • - 2+ years of building models for business application experienceintermediate
  • - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experienceintermediate
  • - Experience programming in Java, C++, Python or related languageintermediate
  • - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computingintermediate
  • - Experience with popular deep learning frameworks such as MxNet and Tensor Flowintermediate

Required Qualifications

  • - 2+ years of building models for business application experience (experience, 2 years)
  • - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience (experience, 4 years)
  • - Experience programming in Java, C++, Python or related language (experience)
  • - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing (experience)
  • - Experience with popular deep learning frameworks such as MxNet and Tensor Flow (experience)

Preferred Qualifications

  • - Experience building machine learning models or developing algorithms for business application (experience)
  • - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) (experience)
  • - Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms (experience)
  • - Experience in patents or publications at top-tier peer-reviewed conferences or journals (experience)

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.

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Amazon logo

Applied Scientist, Worldwide Returns & Recommerce - Science

Amazon

Software and Technology Jobs

Applied Scientist, Worldwide Returns & Recommerce - Science

full-timePosted: Sep 7, 2025

Job Description

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 teamWhen 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.

Locations

  • India, TS, Hyderabad, Hyderabad, TS, India

Salary

Estimated Salary Rangemedium confidence

80,000 - 180,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • - 2+ years of building models for business application experienceintermediate
  • - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experienceintermediate
  • - Experience programming in Java, C++, Python or related languageintermediate
  • - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computingintermediate
  • - Experience with popular deep learning frameworks such as MxNet and Tensor Flowintermediate

Required Qualifications

  • - 2+ years of building models for business application experience (experience, 2 years)
  • - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience (experience, 4 years)
  • - Experience programming in Java, C++, Python or related language (experience)
  • - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing (experience)
  • - Experience with popular deep learning frameworks such as MxNet and Tensor Flow (experience)

Preferred Qualifications

  • - Experience building machine learning models or developing algorithms for business application (experience)
  • - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) (experience)
  • - Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms (experience)
  • - Experience in patents or publications at top-tier peer-reviewed conferences or journals (experience)

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.

Target Your Resume for "Applied Scientist, Worldwide Returns & Recommerce - Science" , Amazon

Get personalized recommendations to optimize your resume specifically for Applied Scientist, Worldwide Returns & Recommerce - Science. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Applied Scientist, Worldwide Returns & Recommerce - Science" , Amazon

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

ats.team-scienceMachine Learning Science

Answer 10 quick questions to check your fit for Applied Scientist, Worldwide Returns & Recommerce - Science @ Amazon.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.