DESCRIPTION Amazon Pay strives to be Earth s most customer-centric payments service Our mission is to serve customers and merchant partners with the most trusted friction-less and rewarding payment solutions for their needs on and off Amazon We are seeking an exceptional Data Scientist III to drive innovation in machine learning and artificial intelligence solutions while leading high-impact initiatives across the organization Key job responsibilities Technical Excellence 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 Experience with up-to-date LLM frameworks and Generative AI applications Expertise in Python R and related data science libraries MLOps Development Build automated ML pipelines using AWS services CodePipeline Lambda Step Functions 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 Integrate ML solutions with monitoring tools like MLflow Business Impact Leadership Partner with stakeholders to translate business problems into technical solutions 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 About the team 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 Our team consists of Business Intelligence Engineers Data Engineers and Product Managers who develop and maintain standardized reporting data marts and self-service analytics tools Our expanded capabilities cover data science and Gen AI wherein we have built our first suite of multi-agent systems BASIC QUALIFICATIONS 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 PREFERRED QUALIFICATIONS 2 years of data visualization using AWS QuickSight Tableau R Shiny etc experience Experience managing data pipelines 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

📌 Sr. Data Scientist, Amazon Pay Data Products (Karnataka)
🏢 Amazon.com
📍 Karnataka