The AOP (Analytics Operations and Programs) team is responsible for creating core analytics, insight generation and science capabilities for ROW Ops. We develop scalable analytics applications, AI/ML products and research models to optimize operation processes. You will work with Product Managers, Data Engineers, Data Scientists, Research Scientists, Applied Scientists and Business Intelligence Engineers using rigorous quantitative approaches to ensure high quality data/science products for our customers around the world. As a Data Scientist, you will play a crucial role in supporting the team by creating and maintaining the data infrastructure necessary for the advanced analytics and machine learning solutions.
Our team solves a broad range of problems that can be scaled across ROW (Rest of the World including countries like India, Australia, Singapore, MENA and LATAM). Here is a glimpse of the problems that this team deals with on a regular basis:
• Using live package and truck signals to adjust truck capacities in real-time
• HOTW models for Last Mile Channel Allocation
• Using LLMs to automate analytical processes and insight generation
• Ops research to optimize middle mile truck routes
• Working with global partner science teams to affect Reinforcement Learning based pricing models and estimating Shipments Per Route for $MM savings
• Deep Learning models to synthesize attributes of addresses
• Abuse detection models to reduce network losses
Key job responsibilities
1. Analyze data with statistical and ML techniques.
2. Develop analysis/model in scripting languages (e.g. Python, R) and statistical/mathematical software (e.g. SAS, Matlab, etc.).
3. Develop science-based Supply Chain solutions.
4. Analysis/model documentation.
5. Learn and understand state-of-the-art statistical and ML techniques/tools.
6. Learn and understand Amazon Supply Chain operations.- 1-3 years of data/research scientist, statistician or quantitative analyst.
- Familiar with data analytics in scripting languages (e.g. Python, R) and statistical/mathematical software (e.g. SAS, Matlab, etc.).
- Familiar with querying languages (e.g. SQL).
- Fundamental understanding of statistical modeling.
- Fundamental understanding of Machine Learning techniques.- Background in Statistics/ML; strong statistical/ML knowledge.
- General programming capability (e.g. software architecture, design patterns, Docker).
- Knowledge of AWS services (e.g. SageMaker, Bedrock, ECS, Lambda, CDK).
- Knowledge of database technologies (e.g. Redshift, Aurora, DynamoDB).
- Familiar with Linux environment.
- Fundamental Supply Chain experience/domain knowledge.
- Experience in building NLP/LLM applications.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit
https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
