Senior Data Scientist - ML-Driven Product Analytics

Amazon Inc.; Seattle (WA); On-site; USD 150,000 - 210,000; Full time

Job summary

Amazon is seeking a Senior Data Scientist for AWS Analytics Engineering in Seattle to build ML-driven product analytics for EC2, GenAI & Agents, and S3. You will translate complex business problems into rigorous scientific solutions, partner with product managers and senior stakeholders, and inject analytical rigor across the organization.

You will mentor junior scientists, own end-to-end analyses, and help scale analytics with strong ownership and cross-functional collaboration within AWS and

Qualifications

• 5+ years of data querying languages and data scientist experience.
• Experience with statistical models and inference methods.
• Ability to translate business problems into scientific solutions.

Responsibilities

• Set the technical direction for ML-driven product analytics across AWS services.
• Deliver scalable ML-driven product analytics and drive leadership conversations.
• Define and deliver knowledge organization best practices for agentic analytics.
• Build agentic knowledge coverage to derive accurate insights for senior leaders.
• Drive cross-service insights and influence product and process changes.
• Collaborate with internal science organizations to expand analytics scope.

Skills

SQL

Python

Statistical modeling

Tools

SAS

Matlab

Job description

Amazon is seeking a Senior Data Scientist for AWS Analytics Engineering in Seattle to build ML-driven product analytics for EC2, GenAI & Agents, and S3. You will translate complex business problems into rigorous scientific solutions, partner with product managers and senior stakeholders, and inject analytical rigor across the organization.

You will mentor junior scientists, own end-to-end analyses, and help scale analytics with strong ownership and cross-functional collaboration within AWS and