Amazon's Customer Delivery Experience (CDE) Science Team aims to revolutionize global logistics by improving delivery experiences for millions of customers worldwide through advanced machine learning and transportation logistics.
Requirements
- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience in Python, Perl, or another scripting language
- Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2
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
- Design and deploy production-quality components meeting engineering standards
Other
- Balance theoretical research with practical business applications
- Work backwards from customer needs to determine scientific approaches
- Collaborate with logistics teams to translate your findings into practical solutions
- 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.
