Role Overview
The Ads Metrics team is the core data science team behind Google Search Ads. We develop mechanisms, experiment designs, evaluation metrics, statistical methods, and analysis libraries to help build the next generation of our Search advertising products.
What You Will Do
Collaborate with engineering and product partners to identify key questions to answer, design and evaluate complex experiments or models, and translate system telemetry into statistically sound evidence.
Why It Might Be a Fit
You will work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.
Requirements
- Master’s degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field, or equivalent practical experience.
- 8 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
- PhD degree in a quantitative discipline (e.g., Statistics, Operations Research, Economics, Computational Biology, Computer Science, Mathematics, Physics, or Engineering).
- Experience with statistical software (e.g., Python, R), database languages (e.g., SQL), and agentic development (e.g., Gemini, Antigravity).
- Demonstrated statistical data analysis and experimental design capabilities.
- Deep expertise in modern statistical theory, including experiment design, regression models, causal inference, sampling methods, time-series analysis, and hierarchical modeling.
- Strong record of scientific communication and presentation skills, with the ability to distill investigative findings for executive stakeholders.
- Strong data intuition and business acumen, with relevant experience in data analysis to solve business problems in complex, fast-moving, and ambiguous business environments.
To apply for this job please visit www.google.com.
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