Ads Insights Data Scientist — Causal Analytics & Impact

Google Inc.; Mountain View (CA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google is hiring a Share Research Data Scientist for Ads Insights in Mountain View, CA. The role focuses on developing data-driven methods and privacy-preserving approaches to improve advertising measurements and insights at scale, impacting products across Google and the ad-tech ecosystem.

The candidate will collaborate with engineering, product, and customer-facing teams to define relevant questions, apply advanced analytics, and drive business value while contributing to the

Qualifications

• Master's degree in a quantitative field such as Statistics, Data Science, Mathematics, Physics, Economics, OR, Engineering.
• 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.

Responsibilities

• Help suggest, guide, and shape new data-driven and privacy-preserving advertising and marketing products with engineering, product, and customer-facing teams.
• Collaborate with teams to define questions about advertising effectiveness, incrementality, privacy impact, user behavior, and brand building, and develop quantitative methods to answer them.
• Find ways to combine large-scale experimentation, econometric, machine learning, and social-science methods to answer business questions at scale.
• Use causal inference to design experiments, assess attribution, and answer questions using data.
• Build and prototype analysis pipelines to provide insights at scale and enhance knowledge of Google data structures and metrics.

Skills

Python

SQL

Statistical analysis

Data analytics

Education

Master's degree in quantitative field

Job description

Google is hiring a Share Research Data Scientist for Ads Insights in Mountain View, CA. The role focuses on developing data-driven methods and privacy-preserving approaches to improve advertising measurements and insights at scale, impacting products across Google and the ad-tech ecosystem.

The candidate will collaborate with engineering, product, and customer-facing teams to define relevant questions, apply advanced analytics, and drive business value while contributing to the