Sr. Data Scientist, Amazon Pay Data Products

Amazon; Torino; In loco; EUR 70.000 - 90.000; Tempo pieno

Descrizione del lavoro

A prominent technology company in Torino is seeking a Senior Data Scientist to drive innovation in machine learning solutions and high-impact initiatives. The role involves leading projects, collaborating with stakeholders for technical solutions, and mentoring junior team members. Ideal candidates have extensive experience with data science, statistical models, and AWS technologies. The team supports Amazon Pay's growth, managing vast data infrastructure and ensuring customer-centric solutions.

Competenze

• 5+ years of experience in data querying languages such as SQL.
• 4+ years of professional experience as a data scientist.
• Experience with developing end-to-end machine learning solutions.
• Knowledge of AWS tech stack like Redshift and S3.

Mansioni

• Lead end-to-end machine learning projects using modern frameworks.
• Design and implement complex statistical models.
• Build automated ML pipelines using AWS services.
• Partner with stakeholders to translate business problems into solutions.

Conoscenze

Machine learning

Data querying languages (e.g. SQL)

Scripting languages (e.g. Python)

Statistical models

Data visualization tools (e.g. AWS QuickSight, Tableau)

Strumenti

AWS services (e.g., CodePipeline, Lambda)

PyTorch

Docker

MLflow

Descrizione del lavoro

Sr. Data Scientist, Amazon Pay Data Products

Job ID: 3133798 | 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.

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 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.