Join Amazon's Customer Delivery Experience (CDE) Science Team as a Data Scientist I to improve global logistics through data-driven modeling and analysis. Our team applies advanced machine learning and statistical techniques to enhance delivery experiences for millions of customers worldwide. Working collaboratively with Amazon's logistics operations teams, you will implement proven ML solutions and contribute to continuous improvements across our global fulfillment and delivery network.

Key job responsibilities
- Build and validate predictive models for delivery time estimation using historical delivery data, weather patterns, and traffic information
- Implement classification models to identify delivery exceptions and risk factors using established ML frameworks
- Apply feature engineering techniques to extract meaningful signals from transportation and logistics data
- Conduct exploratory data analysis on delivery performance metrics to identify improvement opportunities
- Create data visualizations and reports to communicate findings to operations partners
- Partner with logistics operations teams to understand business requirements and translate them into modeling approaches
- Document model methodologies, assumptions, and limitations for team knowledge sharing
- Participate in code reviews and contribute to team best practices
- Seek feedback from senior team members on proposed solution approaches and methodologies

About the team
The Customer Delivery Experience (CDE) Science Team combines advanced machine learning with transportation logistics expertise to optimize delivery operations at scale. You'll work alongside data scientists, machine learning engineers, and operations partners to solve complex logistics challenges that directly impact customer satisfaction.