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.<br/><br/>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.<br/><br/>Key job responsibilities<br/>Technical Excellence<br/><br/>Lead end-to-end machine learning projects using PyTorch, AWS SageMaker, and other leading ML frameworks<br/>Design and implement complex statistical models and deep learning solutions<br/>Develop and optimize MLOps pipelines for model training, evaluation, and deployment<br/>Experience with modern LLM frameworks and Generative AI applications<br/>Expertise in Python, R, and related data science libraries<br/>MLOps & Development<br/><br/>Build automated ML pipelines using AWS services (CodePipeline, Lambda, Step Functions)<br/>Implement CI/CD practices for ML model deployment and monitoring<br/>Create containerized solutions using Docker for scalable model deployment<br/>Experience with model optimization and hyperparameter tuning using tools like Optuna<br/>Integrate ML solutions with monitoring tools like MLflow<br/>Business Impact & Leadership<br/><br/>Partner with stakeholders to translate business problems into technical solutions<br/>Design and develop business intelligence applications for real-time insights<br/>Lead technical initiatives and mentor junior data scientists<br/>Drive cross-functional collaboration to deliver innovative solutions<br/>Communicate complex technical concepts to non-technical audiences<br/><br/><br/>About the team<br/>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.<br/><br/>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.
- 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<br/>- 4+ years of data scientist experience<br/>- Experience with statistical models e.g. multinomial logistic regression<br/>- Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)<br/>- Track record of developing end-to-end ML solutions that drive business impact
- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience<br/>- Experience managing data pipelines<br/><br/>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 <a href="https://amazon.jobs/content/en/how-we-hire/accommodations">https://amazon.jobs/content/en/how-we-hire/accommodations</a> for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Source: Amazon careers — Read the original posting and apply
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