Data Scientist Product, Geo Data Science
Google · Posted Oct 26
Search engine, cloud computing, software, hardware, and artificial intelligence services
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About the role
Geo Data Science CORE empowers Geo teams to make value-driven, scaled investments and optimized user experiences through innovative data science solutions. The team works on data quality and features powering products like Maps, Earth, and Local Search, the connection between users and data quality, geospatial data and infrastructure ecosystems, AI/ML efforts, and the impact of GenAI features on Maps users and contributors. This role partners with Engineering, Product, and UX to run experiments and causal analyses, scale operations and data governance, and build AI workflows and self-service analytics.
What you will do
- 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.
Skills used in this role
What the employer is looking for
- 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.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Google
Google LLC is an American multinational technology company focusing on artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics. As a subsidiary of Alphabet Inc., it is widely recognized for services like Google Search, YouTube, Android, and the Gemini AI ecosystem.
- Industry
- Internet
- Company size
- 180000+ employees
- Founded
- 1998-09-04
- Location
- Mountain View, California, USA
- Funding stage
- Public Company
Funding
Public Company · $25M raised
- 1999-06-07Series A$25M
Leadership
Chief Executive Officer
Senior Vice President and Chief Financial Officer
Senior Vice President and Chief Business Officer
Chief Executive Officer, Google Cloud
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