Staff Research Data Scientist, AI-Powered Ads

Google; Mountain View (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google is seeking a data science leader in Mountain View to reinvent AI-powered ads experiences. You will collaborate across teams to translate business questions into analyses, design models, and leverage data infrastructure to drive insights that shape Google's advertising products.

Required are a Master's in a quantitative field and 8 years of analytics experience (or 6 with a PhD). Expect a competitive package with equity and bonuses in a fast-paced, AI-focused environment.

Qualifications

• Master's degree in a quantitative field (e.g., Statistics, Data Science, Mathematics, Physics, Economics, OR Engineering).
• 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years with a PhD.

Responsibilities

• Collaborate with stakeholders to translate business questions into tractable analyses, metrics, or models.
• Design and evaluate models using existing data or custom infrastructure to solve defined problems.
• Gather business goals and data context, and assess data sources and infrastructure.
• Extract and validate data from multiple sources using SQL, Python, or R to ensure quality for analysis.

Skills

Analytics

Python

SQL

R

Statistics

Education

Master's degree in a quantitative field

PhD degree

Job description

Google is seeking a data science leader in Mountain View to reinvent AI-powered ads experiences. You will collaborate across teams to translate business questions into analyses, design models, and leverage data infrastructure to drive insights that shape Google's advertising products.

Required are a Master's in a quantitative field and 8 years of analytics experience (or 6 with a PhD). Expect a competitive package with equity and bonuses in a fast-paced, AI-focused environment.