Staff Data Scientist, Ads Metrics & Causal Inference

Google; Zürich; Sur place; CHF 140 000 - 210 000; Plein temps

Résumé du poste

Google Ads is seeking a Data Scientist in the Ads Metrics team to advance experiment design, causal inference, and time-series analysis for business-critical launches. You will work closely with software engineers, product managers, researchers, and analysts to push the boundaries of measurement in a multi‑billion‑dollar global business.

The role emphasizes collaboration with teams like Google Research and DeepMind to solve complex challenges, protect users, and improve ad quality at scale.

Qualifications

• Master’s degree in Statistics, Data Science, Mathematics, Physics, Economics, OR Operations Research, or related quantitative field, or equivalent practical experience.
• 8 years of analytics experience with product/business problems, coding (Python/R/SQL), querying databases, or 6 years with PhD.

Responsabilités

• Collaborate with engineering and product partners to translate business questions into experiments, analyses, metrics, or models.
• Architect end‑to‑end analysis pipelines translating questions into frameworks and statistical models.
• Design and evaluate experiments or models (causal inference, hierarchical models) to address problems with limited precedent in retrieval and ranking.
• Translate system telemetry into statistically sound evidence ensuring data integrity for research‑grade analysis.

Connaissances

Python

R

SQL

Statistics

Experiment design

Time-series analysis

Causal inference

Formation

Master's degree in quantitative field

PhD preferred

Outils

Gemini

Antigravity

Description du poste

Google Ads is seeking a Data Scientist in the Ads Metrics team to advance experiment design, causal inference, and time-series analysis for business-critical launches. You will work closely with software engineers, product managers, researchers, and analysts to push the boundaries of measurement in a multi‑billion‑dollar global business.

The role emphasizes collaboration with teams like Google Research and DeepMind to solve complex challenges, protect users, and improve ad quality at scale.