Sr. Data Scientist, Amazon Pay Data Products
Teknik, data och digitalt · Data, AI och analys · Datavetenskap
I korthet
Amazon Pay seeks an exceptional Data Scientist III to lead innovation in machine learning and AI solutions for their Data Products team in Bengaluru, India. This role involves end-to-end project leadership, complex model development, MLOps, and driving business impact through data-driven insights. The position is full-time and on-site.
Ansvarsområden
- 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).
- Integrate ML solutions with monitoring tools like MLflow.
- Design and develop business intelligence applications for real-time insights.
- Lead technical initiatives and mentor junior data scientists.
- Drive cross-functional collaboration to deliver innovative solutions.
- Communicate complex technical concepts to non-technical audiences.
Krav
- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience.
- 4+ years of data scientist experience.
- Experience with statistical models e.g. multinomial logistic regression.
- Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue).
- Track record of developing end-to-end ML solutions that drive business impact.
- Experience with modern LLM frameworks and Generative AI applications.
- Expertise in Python, R, and related data science libraries.
- Implement CI/CD practices for ML model deployment and monitoring.
- Create containerized solutions using Docker for scalable model deployment.
- Experience with model optimization and hyperparameter tuning using tools like Optuna.
Önskade kvalifikationer
- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience.
- Experience managing data pipelines.
Förmåner
- Inclusive culture empowers Amazonians to deliver the best results for customers.
- Workplace accommodation and adjustment support for individuals with disabilities during the application and hiring process, including support for interview or onboarding.
#Data Science#Machine Learning#AI#Amazon Pay#India