Staff Product Data Scientist, Merchant Shopping

Google•Mountain View, CA

13h•$192,000 - $278,000

About The Position

Google is seeking a Staff Data Scientist to lead the technical evolution of data systems across its merchant and communication products, including Business Agents, Google Business Profiles, and Business Messaging. These products connect consumers with millions of businesses daily. The role combines data science and software engineering: building systems that perform analyses, replacing manual SQL pulls and static dashboards with self-healing data pipelines, an AI-readable semantic layer, and autonomous agents capable of exploratory analysis. The work is expected to produce measurable business impact by turning interaction data into actionable product insights, influencing merchant ROI, optimizing consumer messaging funnels, and helping ensure AI agents deliver value to businesses. The position provides quantitative support, market understanding, and strategic perspective to organizational partners, communicating findings and recommendations to Engineering and Product Management. Individual pay depends on job-related skills, experience, and relevant education or training. U.S. compensation is $192,000–$278,000, plus a 20% bonus target, equity, and benefits.

Requirements

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL); alternatively, 8 years of such experience with a Master's degree.
Experience with machine learning, machine learning algorithms, artificial intelligence algorithms, coding, system design, or software development.

Nice To Haves

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

Responsibilities

Develop AI agents that execute end-to-end data analysis, including exploring Business Profiles interaction data, writing queries, diagnosing metric shifts, and generating product recommendations.
Write and deploy production code to build data pipelines for Business Messaging and Business Agents.
Structure data warehouses so internal AI systems and product surfaces can read them, enabling accurate, reliable, and reproducible query retrieval.
Architect statistical frameworks and infrastructure for A/B testing.
Build automated systems that interpret experimental results, flag statistical noise, and provide ship/no-ship recommendations.
Serve as a technical benchmark for the data organization by writing clean, maintainable Python and SQL code.
Mentor executive team members on system architecture and advanced statistical methods.
Use data insights to inform product decisions and drive measurable business impact, including merchant ROI and consumer messaging funnel optimization.