The Job

Sr. Data Scientist, Amazon Pay Data Products

Technology, Data & Digital · Data, AI & Analytics · Data Science

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In short

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.

Responsibilities

  • 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.

Requirements

  • 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.

Desired Qualifications

  • 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience.
  • Experience managing data pipelines.

Benefits

  • 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
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Company

Amazon

Job Posted

9 hours ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Senior

Locations

Bengaluru, India

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