Staff Data Scientist, Ads Metrics: Causal Inference

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

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.