Applied Scientist II, Customer Delivery Excellence Science
Amazon.com
Join Amazon's Customer Delivery Experience (CDE) Science Team - Shaping the Future of Global Logistics
We're 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 Amazon's 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:
We're looking for innovative problem-solvers passionate about applying advanced research expertise to complex real-world logistics challenges. If you're 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, you'll 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. You'll work closely with Amazon's 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 Amazon's 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.
We're 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 Amazon's 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:
We're looking for innovative problem-solvers passionate about applying advanced research expertise to complex real-world logistics challenges. If you're 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, you'll 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. You'll work closely with Amazon's 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 Amazon's 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.
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