Applied Scientist, Global Standards & Customer Excellence
Applied Scientist, Global Standards & Customer Excellence
Posted on :
01-10-2025
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1 Vacancy
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Job Description
Applied Scientist II - Global Standards & Customer Excellence
At Amazons Global Standards & Customer Excellence team were dedicated to creating standardized processes that ensure exceptional customer experiences across diverse markets worldwide. As an Applied Scientist II youll be at the forefront of innovation using machine learning and AI models to revolutionize how we optimize our operations and maintain consistency at scale. Your expertise in both machine learning and software engineering will be crucial as you develop and integrate AI/ML models into production-ready applications transforming theoretical models into practical scalable software solutions. Were looking for someone capable of not only designing sophisticated ML models but also implementing them as robust maintainable code that meets our high standards for production systems. Youll tackle complex technical challenges while contributing to solutions that directly impact customer satisfaction globally. If youre passionate about solving intricate problems turning ML models into production-ready applications and working in a culture that values both operational excellence and customer obsession we invite you to join our team and help shape the future of global standards in customer excellence.
Key job responsibilities
Design and develop novel ML/AI approaches and algorithms to solve complex business problems leveraging deep knowledge in at least one computer science discipline
Write production-quality code (meeting SDE I standards) to implement ML/AI solutions that are efficient reproducible and testable
Deploy and maintain ML/AI models in production systems ensuring operational excellence and efficient resource usage
Analyze performance of methods and models iteratively improving them based on quantitative metrics and customer feedback
Document algorithms design choices and technical implementations thoroughly to enable knowledge sharing and reproducibility
Work semi-autonomously on projects while making appropriate technical tradeoffs between business requirements and implementation constraints
Contribute to teams strategic planning including goals priorities and technical roadmaps
Publish research findings in internal reports and external peer-reviewed venues when aligned with business needs
About the team
What We Do: at Amazon we deliver millions of packages daily across our global network. This scale presents both an opportunity and a challenge: how do we maintain consistent high-quality delivery experiences (which our customers demand) while operating in diverse markets with varying constraints The Global Standards & Customer Excellence team exists to solve this fundamental challenge. We solve this challenge by building mechanisms that scale standardized processes globally.
Our Vision: The joy of an Amazon delivery transcends location and culture. We aspire to be the single source of truth for cross-mile standards globally establishing world-class processes that make every delivery a moment of joy for our customers.
Our Mission: We listen to the voice of the customer & business to iterate and scale standardized processes globally ensuring a consistent delightful delivery experience for customers.
- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience using Unix/Linux
- Experience in professional software development
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
At Amazons Global Standards & Customer Excellence team were dedicated to creating standardized processes that ensure exceptional customer experiences across diverse markets worldwide. As an Applied Scientist II youll be at the forefront of innovation using machine learning and AI models to revolutionize how we optimize our operations and maintain consistency at scale. Your expertise in both machine learning and software engineering will be crucial as you develop and integrate AI/ML models into production-ready applications transforming theoretical models into practical scalable software solutions. Were looking for someone capable of not only designing sophisticated ML models but also implementing them as robust maintainable code that meets our high standards for production systems. Youll tackle complex technical challenges while contributing to solutions that directly impact customer satisfaction globally. If youre passionate about solving intricate problems turning ML models into production-ready applications and working in a culture that values both operational excellence and customer obsession we invite you to join our team and help shape the future of global standards in customer excellence.
Key job responsibilities
Design and develop novel ML/AI approaches and algorithms to solve complex business problems leveraging deep knowledge in at least one computer science discipline
Write production-quality code (meeting SDE I standards) to implement ML/AI solutions that are efficient reproducible and testable
Deploy and maintain ML/AI models in production systems ensuring operational excellence and efficient resource usage
Analyze performance of methods and models iteratively improving them based on quantitative metrics and customer feedback
Document algorithms design choices and technical implementations thoroughly to enable knowledge sharing and reproducibility
Work semi-autonomously on projects while making appropriate technical tradeoffs between business requirements and implementation constraints
Contribute to teams strategic planning including goals priorities and technical roadmaps
Publish research findings in internal reports and external peer-reviewed venues when aligned with business needs
About the team
What We Do: at Amazon we deliver millions of packages daily across our global network. This scale presents both an opportunity and a challenge: how do we maintain consistent high-quality delivery experiences (which our customers demand) while operating in diverse markets with varying constraints The Global Standards & Customer Excellence team exists to solve this fundamental challenge. We solve this challenge by building mechanisms that scale standardized processes globally.
Our Vision: The joy of an Amazon delivery transcends location and culture. We aspire to be the single source of truth for cross-mile standards globally establishing world-class processes that make every delivery a moment of joy for our customers.
Our Mission: We listen to the voice of the customer & business to iterate and scale standardized processes globally ensuring a consistent delightful delivery experience for customers.
- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience using Unix/Linux
- Experience in professional software development
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Exec
Employment Type
Full-Time
Key Skills
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