Amazon.com Services LLC
Research Science, Science, transportation and logistics
DataScientistI,CustomerDeliveryExcellence
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Scientist I, Customer Delivery Excellence at Amazon.com Services LLC. Skills: Machine learning, Data science, Logistics. Develop predictive algorithms. Prevent delivery disruptions”
What You'll Achieve.
Improve delivery experiences
Industry & Context.
Analytical skills
What They're Looking For.
Must Have
Bachelor's degree in quantitative field, Experience with data scripting languages, Experience manipulating/transforming data, Experience with model selection, Experience with model training, Experience with cross-validation, Experience with deployment at scale
Nice to Have
PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
Develop predictive algorithms
Prevent delivery disruptions
Design machine learning systems
Create mathematical models
Optimize delivery speed
Optimize delivery cost
Optimize delivery reliability
Implement generative AI solutions
Enhance customer experiences
Produce research reports
Contribute to publications
Collaborate across teams
Develop scalable solutions
Develop innovative solutions
How You'll Work.
Team & Collaboration
Cross-functional teams; Core logistics teams
Communication Scope
Research reports; Publications
Full 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. Basic Qualifications: - Bachelor's degree or above in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science Preferred Qualifications: - Experience with
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