Sr. Data Scientist, Amazon Pay Data Products

Amazon; Asti; Ibrido; EUR 70.000 - 100.000; Tempo pieno

Descrizione del lavoro

Amazon Pay Data Products is seeking a Sr. Data Scientist to lead end-to-end ML projects, design complex models, and build scalable ML pipelines with a strong focus on business impact.

You will partner with stakeholders to translate problems into technical solutions and drive real-time analytics across data platforms. The role requires advanced Python/R skills, extensive SQL experience, and hands-on AWS tooling including Redshift, S3, and Glue.

Competenze

• 5+ years in data querying languages SQL, scripting Python, or statistics R/SAS.
• 4+ years as a data scientist with end-to-end ML solutions.
• Experience with AWS stack including Redshift, S3, EC2, Glue.
• Track record translating business needs into ML solutions.

Mansioni

• Lead end-to-end ML 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).
• Create containerized solutions using Docker for scalable model deployment.

Conoscenze

SQL

Python

R

Statistical modeling

ML pipelines

Leadership

Strumenti

AWS Redshift

S3

EC2

Glue

Docker

MLflow

Optuna

Descrizione del lavoro

Sr. Data Scientist, Amazon Pay Data Products

Job ID: 10554136 | Amazon Pay (India) Private Limited

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.

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 modern 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

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.