Staff Data Scientist - Google Careers

Google LLC; Zürich; On-site; CHF 140,000 - 210,000; Full time

Job summary

Google LLC in Zürich is seeking a highly experienced Data Scientist for the Ads Metrics team. You will work with engineers, product managers, researchers, and analysts to design experiments, apply causal inference, and analyze time-series data to improve advertising products.

The role requires a master's or PhD in a quantitative field, 8+ years with analytics experience or 6+ years with a PhD, strong Python/R/SQL skills, and clear communication with executives.

Qualifications

• Master's degree or PhD in a quantitative field with strong analytical background.
• Experience applying analytics to product or business problems.
• Proficient coding in Python, R, and SQL with data querying skills.

Responsibilities

• Collaborate with engineers and product teams to translate questions into experiments and models.
• Design end-to-end analysis pipelines and statistical models.
• Evaluate experiments and communicate findings to executive stakeholders.
• Translate telemetry into evidence to support high-impact launches.

Skills

Statistical analysis

Experimental design

Data storytelling

Executive communication

Education

Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or related field

PhD in a quantitative discipline

Tools

Python

R

SQL

Gemini

Antigravity

Job description

X In most instances, this position requires in-person interviews as part of the hiring process

• 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.

Preferred qualifications:

• 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.

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

• Collaborate with our engineering and product partners to identify key questions to answer. Translate and refine business questions into appropriate experiments, analysis, 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 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.

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.