Sr. Data Scientist, Amazon Pay Data Products

About the role

The Amazon Pay Data Products team is a central unit that builds and maintains data products supporting Amazon Pay's growth across multiple markets. We operate at scale, processing 150M+ monthly transactions and managing 12 PB of data infrastructure.

What you'll do

• Lead end-to-end machine learning projects using PyTorch, AWS SageMaker, and other leading ML frameworks
• Design and implement complex statistical models and deep learning solutions
• Develop and optimize MLOps pipelines for model training, evaluation, and deployment
• Build automated ML pipelines using AWS services (CodePipeline, Lambda, Step Functions)
• Implement CI/CD practices for ML model deployment and monitoring

What you need

• 5–9 yrs of experience
• Machine learning
• Python
• SQL
• AWS
• R
• SAS
• Any graduate

Good to have

• ETL
• Data visualisation
• Tableau
• MATLAB
• Redshift
• MLOps