Data Scientist Product, Geo Data Science

About the job

Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

Geo Data Science CORE strives to Empower Geo to make value-driven scaled investments and optimized user experiences through innovative data science solutions.

In this role, you will work with Engineering teams across Geo on a variety of problems related to understanding the quality of the data and features powering products like Maps, Earth, Local Search and more, the connection between users and data quality, how to grow the ecosystems based on geospatial data and infrastructure, how to scale the state of the art AI/ML efforts, the impact of GenAI features on Maps users and contributors.

Responsibilities

• Partner closely with Product Managers, Engineers, and UX Researchers in strategic markets to analyze user funnels, evaluate search patterns, and uncover growth opportunities across key international expansion markets and product verticals.
• Design, execute, and analyze live A/B experiments and causal inference models to measure the direct impact of localized data enhancements and feature rollouts on user engagement, and growth.
• Collaborate with operations leadership, program managers, and vendor operations leads in scaling operations to conduct root-cause quality evaluations, assess operational workflows, and optimize data governance standards.
• Build intelligent AI workflows, automated alerting systems, and self-service analytics tools to streamline operational requests, reduce turnaround times, and improve overall system velocity.
• Maintain foundational data pipelines and single-source-of-truth dashboards to deliver clear operational visibility and track core business scorecards for leadership.

Qualifications

Minimum qualifications:

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 5 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 2 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.
• 5 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
• Experience in machine learning, or predictive modeling.