| Job Title | Sr. Data Scientist – Amazon Pay Data Products |
| Company | Amazon |
| Location | Bengaluru |
| Job ID | 3133798 |
| Job Type | Full Time |
| Role Overview | Lead machine learning and AI initiatives to build scalable data products and drive innovation for Amazon Pay’s payment ecosystem. |
| Key Responsibilities | Lead end-to-end ML projects using PyTorch, AWS SageMaker and similar frameworks; Design statistical models and deep learning solutions; Build and optimize MLOps pipelines for training, evaluation and deployment; Develop generative AI and LLM-based applications; Build automated ML pipelines using AWS services (CodePipeline, Lambda, Step Functions); Implement CI/CD for ML deployment; Create containerized ML solutions using Docker; Optimize models using tools like Optuna; Integrate monitoring tools such as MLflow; Translate business problems into technical solutions; Build business intelligence applications for real-time insights; Lead technical initiatives and mentor junior data scientists; Communicate complex technical ideas to non-technical stakeholders. |
| Team Overview | The Amazon Pay Data Products team builds and manages large-scale data products supporting Amazon Pay operations, processing 150M+ monthly transactions and managing ~12 PB of data infrastructure. |
| Basic Qualifications | 5+ years experience with data querying or scripting languages (SQL, Python, R, SAS, Matlab); 4+ years experience as a Data Scientist; Experience with statistical models such as multinomial logistic regression; Knowledge of AWS stack (Redshift, S3, EC2, Glue); Proven experience building end-to-end ML solutions with business impact. |
| Preferred Qualifications | 2+ years experience in data visualization tools such as AWS QuickSight, Tableau, or R Shiny; Experience managing data pipelines. |
| Job Category | Data Science |
