Amazon.com Services LLC
Research Science, Science, transportation and logistics
DataScientistII,CustomerDeliveryExcellenceScience
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Scientist II, Customer Delivery Excellence Science at Amazon.com Services LLC. Skills: Machine learning, Data science, Logistics, Predictive modeling. Develop and implement predictive algorithms. Identify and prevent delivery disruptions”
What You'll Achieve.
Improve delivery experiences; Drive meaningful improvements; Impact millions of customer experiences; Drive meaningful improvements in service performance
Industry & Context.
Analyze complex datasets; Identify delivery optimization opportunities; Translate findings into practical solutions; Solve complex logistics challenges
What They're Looking For.
Must Have
2+ years of data scientist experience, 3+ years of data querying languages experience, 3+ years of scripting languages experience, 3+ years of statistical/mathematical software experience, 3+ years of machine learning/statistical modeling data analysis tools and techniques experience
Nice to Have
Experience in Python, Experience in Perl, Experience in another scripting language, Experience with AWS services
What You'll Do.
Develop and implement predictive algorithms
Identify and prevent delivery disruptions
Design real-time machine learning systems
Create mathematical models
Drive innovation in customer experience
Produce research reports
Contribute to peer-reviewed publications
Collaborate with cross-functional teams
Implement scalable solutions
Balance theoretical research with practical business applications
Design and deploy production-quality components
Meet engineering standards
Work backwards from customer needs
Determine scientific approaches
How You'll Work.
Team & Collaboration
Cross-functional teams; Logistics teams; Global Transportation Science; Supply Chain Optimization Technologies; Amazon Fulfillment Technologies
Communication Scope
Research reports; Peer-reviewed publications
Full Job Description
Join Amazon's Customer Delivery Experience (CDE) Science Team as an Data Scientist II 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 and implement predictive algorithms to identify and prevent delivery disruptions - Design real-time machine learning systems for network-wide decision-making - Create mathematical models optimizing speed, cost, and reliability - Drive innovation in customer experience using generative AI - Produce research reports and contribute to peer-reviewed publications - Collaborate with cross-functional teams to implement scalable solutions - Balance theoretical research with practical business applications - Design and deploy production-quality components meeting engineering standards - Work backwards from customer needs to determine scientific approaches A day in the life Your day combines intellectual discovery with real-world impact. You might start with a research initiative meeting, followed by analyzing complex datasets to identify delivery optimization opportunities. You'll collaborate with logistics teams to translate your findings into practical solutions, work on implementing machine learning models, and participate in cross-functional discussions to align scientific innovations with operational needs. The role offers a unique blend of academic-style research and immediate practical application, seeing your solutions directly impact millions of customer experiences. About the team The CDE Science team is a multidisciplinary group operating at the intersection of advanced analytics, research, and operational excellence
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