Senior Staff Research Data Scientist — AI Ads & Modeling

Google; Mountain View (CA); On-site; USD 262,000 - 364,000; Full time

Job summary

Google is seeking a highly skilled analytics professional to reinvent search ads with AI-powered experiments and modeling. You will work across data science, engineering, and product teams to translate complex questions into measurable analysis and actionable insights.

The role emphasizes building scalable models, leveraging SQL, Python, and R, and collaborating with stakeholders to drive impact at scale within the Ads in AI Experiences team.

Qualifications

• Master's degree in a quantitative field.
• 10 years of analytics experience solving product or business problems; 8 years with a PhD.

Responsibilities

• Collaborate with stakeholders to identify and clarify business or product questions and translate them into tractable analysis, metrics, or models.
• Design and evaluate models using data infrastructure and tools to express and solve defined problems with limited precedent.
• Gather information, goals, priorities, and context around questions and data infrastructure.
• Own data extraction, formatting, validation, and quality checks across sources using SQL, R, Python.

Skills

Python

R

SQL

Education

Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or related quantitative field

10 years of analytics/work experience with product/business problems; 8 years with PhD

Job description

Google is seeking a highly skilled analytics professional to reinvent search ads with AI-powered experiments and modeling. You will work across data science, engineering, and product teams to translate complex questions into measurable analysis and actionable insights.

The role emphasizes building scalable models, leveraging SQL, Python, and R, and collaborating with stakeholders to drive impact at scale within the Ads in AI Experiences team.