Applied Scientist II, Customer Delivery Excellence Science
Applied Scientist II, Customer Delivery Excellence Science
Posted on :
07-06-2025
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1 Vacancy
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Job Description
Join Amazons Customer Delivery Experience (CDE) Science Team - Shaping the Future of Global Logistics
Were seeking exceptional scientists and researchers to revolutionize how Amazon delivers millions of packages worldwide. Our team operates at the intersection of machine learning operations research and large-scale systems optimization.
What We Do:
Uncover and leverage causal relationships between Supply Chain dynamics and Customer Experience (CX) outcomes
Develop predictive algorithms to identify and prevent delivery disruptions before they impact customers
Design and implement real-time ML systems for intelligent decision-making across fulfillment and transportation networks
Create sophisticated mathematical models optimizing the critical balance of speed cost and reliability
Lead rigorous experimental design and analysis to systematically reduce delivery defects
Our Impact:
Working closely with Amazons core logistics teams (Global Transportation Science Supply Chain Optimization Technologies and Amazon Fulfillment Technologies) we translate scientific innovations into practical solutions that directly improve customer delivery experiences at massive scale.
Ideal Candidates:
Were looking for innovative problem-solvers passionate about applying advanced research expertise to complex real-world logistics challenges. If youre excited about transforming global delivery systems through data-driven innovation we want to hear from you.
Key job responsibilities
- Work backwards from customer needs to determine appropriate scientific approaches
- Deliver high-quality solutions that balance innovation with business impact
- Invent or adapt new scientific approaches models and algorithms at the project level driven by customer needs
- Design and deploy production-quality components that meet engineering standards
- Develop scalable solutions that can be integrated into larger systems
- Produce high-quality research reports and potentially contribute to peer-reviewed publications
- Drive operational excellence in team deliverables
A day in the life
As a scientist on our team youll balance intellectual discovery with real-world impact. Your day might include leading research initiatives collaborating with cross-functional teams analyzing vast datasets and developing innovative solutions that directly improve customer experiences. Youll work closely with Amazons core logistics teams translating scientific innovations into practical solutions that enhance delivery experiences at massive scale.
About the team
The Customer Delivery Excellence (CDE) Science team operates at the intersection of advanced analytics applied research and operational excellence within Amazons global supply chain. Our multidisciplinary team of scientists tackles complex challenges across the entire fulfillment and delivery network combining theoretical frameworks with practical applications to drive meaningful improvements in service performance.
We value innovative problem-solvers passionate about applying advanced research expertise to complex real-world logistics challenges. Our culture emphasizes both scientific rigor and practical results offering opportunities to publish in top-tier academic venues while seeing your solutions directly impact millions of customer experiences.
- 5 years of building machine learning models or developing algorithms for business application experience
- PhD or Masters degree and 5 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 professional software development
- PhD in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field
- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs GANs VAEs and NF
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.
Were seeking exceptional scientists and researchers to revolutionize how Amazon delivers millions of packages worldwide. Our team operates at the intersection of machine learning operations research and large-scale systems optimization.
What We Do:
Uncover and leverage causal relationships between Supply Chain dynamics and Customer Experience (CX) outcomes
Develop predictive algorithms to identify and prevent delivery disruptions before they impact customers
Design and implement real-time ML systems for intelligent decision-making across fulfillment and transportation networks
Create sophisticated mathematical models optimizing the critical balance of speed cost and reliability
Lead rigorous experimental design and analysis to systematically reduce delivery defects
Our Impact:
Working closely with Amazons core logistics teams (Global Transportation Science Supply Chain Optimization Technologies and Amazon Fulfillment Technologies) we translate scientific innovations into practical solutions that directly improve customer delivery experiences at massive scale.
Ideal Candidates:
Were looking for innovative problem-solvers passionate about applying advanced research expertise to complex real-world logistics challenges. If youre excited about transforming global delivery systems through data-driven innovation we want to hear from you.
Key job responsibilities
- Work backwards from customer needs to determine appropriate scientific approaches
- Deliver high-quality solutions that balance innovation with business impact
- Invent or adapt new scientific approaches models and algorithms at the project level driven by customer needs
- Design and deploy production-quality components that meet engineering standards
- Develop scalable solutions that can be integrated into larger systems
- Produce high-quality research reports and potentially contribute to peer-reviewed publications
- Drive operational excellence in team deliverables
A day in the life
As a scientist on our team youll balance intellectual discovery with real-world impact. Your day might include leading research initiatives collaborating with cross-functional teams analyzing vast datasets and developing innovative solutions that directly improve customer experiences. Youll work closely with Amazons core logistics teams translating scientific innovations into practical solutions that enhance delivery experiences at massive scale.
About the team
The Customer Delivery Excellence (CDE) Science team operates at the intersection of advanced analytics applied research and operational excellence within Amazons global supply chain. Our multidisciplinary team of scientists tackles complex challenges across the entire fulfillment and delivery network combining theoretical frameworks with practical applications to drive meaningful improvements in service performance.
We value innovative problem-solvers passionate about applying advanced research expertise to complex real-world logistics challenges. Our culture emphasizes both scientific rigor and practical results offering opportunities to publish in top-tier academic venues while seeing your solutions directly impact millions of customer experiences.
- 5 years of building machine learning models or developing algorithms for business application experience
- PhD or Masters degree and 5 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 professional software development
- PhD in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field
- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs GANs VAEs and NF
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.
Employment Type
Full-Time
Key Skills
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