Applied Scientist, Global Standards & Customer Excellence
Amazon
Applied Scientist, Global Standards & Customer Excellence
Job Description
Applied Scientist II - Global Standards & Customer ExcellenceAt Amazon's Global Standards & Customer Excellence team, we're dedicated to creating standardized processes that ensure exceptional customer experiences across diverse markets worldwide. As an Applied Scientist II, you'll 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. We're 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. You'll tackle complex technical challenges while contributing to solutions that directly impact customer satisfaction globally. If you're 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 team's strategic planning including goals, priorities, and technical roadmaps• Publish research findings in internal reports and external peer-reviewed venues when aligned with business needsAbout the teamWhat 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.
Locations
- United States, TN, Nashville, Nashville, TN, United States
- United States, WA, Bellevue, Bellevue, WA, United States
- United States, TX, Irving, Irving, TX, United States
Salary
Estimated Salary Rangehigh confidence
150,000 - 220,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 3+ 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 in patents or publications at top-tier peer-reviewed conferences or journalsintermediate
- - 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
Required Qualifications
- - 3+ years of building models for business application experience (experience, 3 years)
- - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience (experience, 4 years)
- - Experience in patents or publications at top-tier peer-reviewed conferences or journals (experience)
- - 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)
Preferred Qualifications
- - Experience using Unix/Linux (experience)
- - Experience in professional software development (experience)
- Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. (experience)
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 team's 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.
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Applied Scientist, Global Standards & Customer Excellence
Amazon
Applied Scientist, Global Standards & Customer Excellence
Job Description
Applied Scientist II - Global Standards & Customer ExcellenceAt Amazon's Global Standards & Customer Excellence team, we're dedicated to creating standardized processes that ensure exceptional customer experiences across diverse markets worldwide. As an Applied Scientist II, you'll 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. We're 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. You'll tackle complex technical challenges while contributing to solutions that directly impact customer satisfaction globally. If you're 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 team's strategic planning including goals, priorities, and technical roadmaps• Publish research findings in internal reports and external peer-reviewed venues when aligned with business needsAbout the teamWhat 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.
Locations
- United States, TN, Nashville, Nashville, TN, United States
- United States, WA, Bellevue, Bellevue, WA, United States
- United States, TX, Irving, Irving, TX, United States
Salary
Estimated Salary Rangehigh confidence
150,000 - 220,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 3+ 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 in patents or publications at top-tier peer-reviewed conferences or journalsintermediate
- - 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
Required Qualifications
- - 3+ years of building models for business application experience (experience, 3 years)
- - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience (experience, 4 years)
- - Experience in patents or publications at top-tier peer-reviewed conferences or journals (experience)
- - 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)
Preferred Qualifications
- - Experience using Unix/Linux (experience)
- - Experience in professional software development (experience)
- Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. (experience)
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 team's 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.
Tags & Categories
Answer 10 quick questions to check your fit for Applied Scientist, Global Standards & Customer Excellence @ Amazon.
10 Questions
~2 Minutes
Instant Score
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