Amazon logo

Amazon

Company

Data Scientist I, Customer Delivery Excellence Science

US, WA, Bellevue

Job Description

Join Amazon's Customer Delivery Experience (CDE) Science Team as an Data Scientist to revolutionize global logistics through revolutionary research and innovation. Our team combines advanced machine learning and transportation logistics to improve delivery experiences for millions of customers worldwide. Working collaboratively with Amazon's core logistics teams, you will translate scientific innovations into practical solutions that drive meaningful improvements across our global fulfillment and delivery network.

Key job responsibilities
- Develop predictive algorithms to prevent delivery disruptions
- Design machine learning systems for network-wide decision-making
- Create mathematical models that optimize delivery speed, cost, and reliability
- Implement generative AI solutions to enhance customer experiences
- Produce research reports and contribute to peer-reviewed publications
- Collaborate across teams to develop scalable, innovative solutions

A day in the life
Imagine a role where your analytical skills directly impact customer satisfaction. You'll dive into complex datasets, collaborate with cross-functional teams, and translate sophisticated research into practical logistics solutions. Your work bridges academic rigor with tangible business improvements, seeing your innovations come to life in real-time.

About the team
We are a dynamic, multidisciplinary group passionate about pushing the boundaries of supply chain science. Our team combines advanced analytics with operational excellence, creating innovative solutions that transform how millions of customers receive their packages. We value diverse perspectives and collaborative problem-solving, offering an environment where scientific creativity meets practical impact.

Please mention that you found this job on MoAIJobs, this helps us grow. Thank you!

Amazon logo

Amazon

381 jobs posted

View all Amazon jobs

About the job

Posted on

Oct 9, 2025

Apply before

Nov 8, 2025

Job typeFull-time
CategoryData Science

Share this job opportunity