Staff Data Scientist, Ads Metrics & Experimentation

AI Chopping Block, Inc.; Zürich; Hybrid; CHF 170,000 - 210,000; Full time

Job summary

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. The Ads Metrics team develops mechanisms, experiment designs, evaluation metrics, and analysis libraries to support the next generation of 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

Qualifications

• Master's degree or PhD in a quantitative field or equivalent practical experience.
• 8 years of analytics experience or 6 years with a PhD.

Responsibilities

• Collaborate with engineering and product partners to identify key questions and translate them into experiments, analysis, metrics, or models.
• Architect end-to-end analysis pipelines translating ambiguous 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.
• Translate system telemetry into statistically sound evidence ensuring data integrity for research-grade analysis that supports billion-dollar launches.

Skills

Experiment design

Causal inference

Time-series analysis

Statistical modeling

Data visualization

Education

Master's degree in a quantitative field

PhD degree in a quantitative discipline

Tools

Python

R

SQL

Job description

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. The Ads Metrics team develops mechanisms, experiment designs, evaluation metrics, and analysis libraries to support the next generation of 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