25 set - Asti
Amazon
ph3Sr. Data Scientist, Amazon Pay Data Products /h3pJob ID: | Amazon Pay (India) Private Limited /ppAmazon 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. /ph3Key job responsibilities /h3h3Technical Excellence /h3ulliLead end-to-end machine learning projects using PyTorch, AWS SageMaker, and other leading ML frameworks /liliDesign and implement complex statistical models and deep learning solutions /liliDevelop and optimize MLOps pipelines for model training, evaluation, and deployment /liliExperience with modern LLM frameworks and Generative AI applications /liliExpertise in Python, R, and related data science libraries /li /ulh3MLOps Development /h3ulliBuild automated ML pipelines using AWS services (CodePipeline, Lambda, Step Functions) /liliImplement CI/CD practices for ML model deployment and monitoring /liliCreate containerized solutions using Docker for scalable model deployment /liliExperience with model optimization and hyperparameter tuning using tools like Optuna /liliIntegrate ML solutions with monitoring tools like MLflow /li /ulh3Business Impact Leadership /h3ulliPartner with stakeholders to translate business problems into technical solutions /liliDesign and develop business intelligence applications for real-time insights /liliLead technical initiatives and mentor junior data scientists /liliDrive cross-functional collaboration to deliver innovative solutions /liliCommunicate complex technical concepts to non-technical audiences /li /ulh3About the team /h3pThe 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. /ppOur 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. /ph3Basic Qualifications /h3ulli5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience /lili4+ years of data scientist experience /liliExperience with statistical models e.g. multinomial logistic regression /liliKnowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue) /liliTrack record of developing end-to-end ML solutions that drive business impact /li /ulh3Preferred Qualifications /h3ulli2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience /liliExperience managing data pipelines /li /ulpOur 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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. /ppAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. /p /p #J-18808-Ljbffr
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