Staff Research Data Scientist, Manager, Ads Metrics

Google; Zürich; On-site; CHF 230,000 - 280,000; Full time

Job summary

Google LLC in Zürich seeks a Staff Research Data Scientist, Manager, Ads Metrics to lead advanced analytics for search ads. You will design experiments, build models, and guide a team of data scientists.

You will collaborate with engineers, product managers, researchers, and analysts to push causal inference, time-series analysis, and scalable analytics for launches, protecting users and improving ad performance.

Qualifications

• Master's degree in a quantitative field (Statistics/Data Science/Math/Physics/Economics/Operations Research/Engineering)
• 8 years of analytics experience with coding (Python/R/SQL) or 6 years with a PhD
• Experience leading teams of data scientists or quantitative researchers
• Experience applying experiment design, regression analysis, and core statistics to drive business decisions

Responsibilities

• Lead and manage a high-performing subteam of data scientists in Search Ads Targeting.
• Collaborate with engineering and product partners to translate questions into experiments and models.
• Architect end-to-end analysis pipelines translating business questions into rigorous statistical frameworks.
• Design and evaluate complex experiments or models (e.g., causal inference, hierarchical models).
• Translate telemetry into evidence ensuring data integrity for research-grade analyses.

Skills

Statistics

Data analysis

Experiment design

Python

R

SQL

Leadership

Education

Master's degree in Statistics/ Data Science/ Mathematics/ Physics/ Economics/ OR/ Engineering

Job description

Staff Research Data Scientist, Manager, Ads Metrics

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• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 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 experience with a PhD degree.
• Experience building, managing, and leading teams of data scientists or quantitative researchers.
• Experience applying experiment design, regression analysis, and core statistics to perform data analysis that drives business analysis and decision-making.

Preferred qualifications:

• 10 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of experience with a PhD degree.
• Experience in modern statistical theory, including experiment design, regression models, causal inference, sampling methods, time-series analysis, and hierarchical modeling.
• Strong data intuition and business acumen, with the experience in data analysis to solve business problems in complex, fast-moving, and ambiguous business environments.
• Excellent communication and presentation skills, with the ability to distill complex investigative findings for executive stakeholders.

About the job

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.

As a Data Scientist in the Ads Metrics team, you will collaborate closely with software engineers, product managers, researchers, and analysts to push the boundaries of experiment design, causal inference, and time-series analysis for business-critical launches. Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business. Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the‑art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.

Responsibilities

• Lead and manage a high-performing subteam of data scientists in the area of Search Ads Targeting.
• Collaborate with our engineering and product partners to identify key questions to answer. Translate and refine business questions into appropriate experiments, analyses, evaluation metrics, or mathematical models.
• Architect end-to-end analysis pipelines, translating ambiguous business questions into rigorous frameworks and statistical models.
• Design and evaluate complex experiments or models (e.g., causal inference, hierarchical models) to solve problems with limited precedent in retrieval and ranking.
• Translate massive-scale system telemetry into statistically sound evidence, ensuring the highest standards of data integrity for research‑grade analysis that unblocks billion‑dollar launches.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.