Develop AI agents capable of executing end-to-end data analysis, from exploring interaction data in Business Profiles and writing queries, to diagnosing metric shifts and generating product recommendations. Write and deploy production code to build data pipelines for Business Messaging and Business Agents. Structure our data warehouses so they are universally readable by internal AI systems and product surfaces, ensuring accurate, reliable, and reproducible query retrieval.
Architect the statistical frameworks and infrastructure for A/B testing. Build automated systems that interpret experimental results, flag statistical noise, and output clear ship/no-ship recommendations. Serve as a technical benchmark for the data organization. Write clean, maintainable code (Python, SQL), and mentor executive team members on system architecture and advanced statistical methods.
Job description provided by Google.
View the original posting
