Google

data scientist метрик Search Ads

In short

Senior Data Scientist role on the Ads Metrics team at Google, building experiment designs, evaluation metrics, statistical methods and analysis pipelines for Google Search Ads. The work spans causal inference, hierarchical modeling and rigorous analysis frameworks to support ad quality, user safety and campaign optimization launches. Requires a Master's degree in a quantitative field plus 8 years of relevant analytics/coding experience (or 6 years with a PhD), and is based onsite in Zurich.

Description
The Ads Metrics team develops mechanisms, experiment designs, evaluation metrics, statistical methods, and analysis libraries for Google Search Ads. Google Ads applies machine learning and Generative AI to power a global advertising business, with work focused on user safety, ad quality, and campaign optimization.
Responsibilities
•Collaborate with engineering and product partners to identify key questions and translate business questions into experiments, analyses, evaluation metrics, or mathematical models
•Architect end-to-end analysis pipelines and translate ambiguous business questions into rigorous frameworks and statistical models
•Design and evaluate complex experiments or models, including causal inference and hierarchical models, to solve problems with limited precedent in retrieval and ranking
•Translate system telemetry into statistically sound evidence and ensure data integrity for research-grade analysis supporting business-critical launches
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; alternatively, 6 years of work experience with a PhD degree
Nice to have
•PhD in a quantitative discipline
•Experience with statistical software such as Python or R, database languages such as SQL, and agentic development such as Gemini or Antigravity
•Statistical data analysis and experimental design capabilities
•Expertise in statistical theory, experiment design, regression models, causal inference, sampling methods, time-series analysis, and hierarchical modeling
•Scientific communication and presentation skills, including distilling findings for executive stakeholders
•Data intuition, business acumen, and experience solving business problems in complex, fast-moving, and ambiguous environments
Conditions
No conditions stated in the posting.

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