Shape AWS product decisions through statistical modeling and ML-driven analytics as a Senior Data Scientist focused on customer and business insights.
The AWS Analytics Engineering team seeks a customer-focused Senior Data Scientist. You will develop science solutions for AWS services, including Compute, GenAI & Agents, Database & Analytics, and Storage. Your work translates complex business problems into recommendations influencing AWS leadership, product growth, and business risks.
Key Responsibilities:
- Set technical direction for ML-driven product analytics across AWS services
- Deliver proactive analytics and initiate GM and VP conversations
- Build agentic knowledge coverage mechanisms for accurate insights
- Drive cross-service insights and influence product and process changes
- Scale science and analytics across AWS organizations
Requirements:
- 5+ years using SQL, Python, R, SAS, Matlab, or similar tools
- 4+ years of data scientist experience
- Experience with statistical models such as multinomial logistic regression
- Experience with data visualization using QuickSight, Tableau, or R Shiny
- Experience managing data pipelines or mentoring data science teams
Apply statistical modeling, product analytics, and scientific judgment to help AWS leaders understand growth drivers and customer insights.