Senior Staff Product Data Scientist, Merchant Shopping

• 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.
• Build and deploy production-code data pipelines for Business Messaging and Business Agents.
• Structure data warehouses so that 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, and 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 by writing clean, maintainable code (Python, SQL), and mentor senior team members on system architecture and advanced statistical methods.

Minimum qualifications:

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 13 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 10 years work experience with a Master's degree).

Preferred qualifications:

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 15 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 13 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 10 years work experience with a Master's degree).