Lead Research Data Scientist, AI-Driven Search Ads

Socket.dev; Mountain View (CA); On-site; USD 262,000 - 364,000; Part time

Job summary

Google is hiring for a lead data science role within the Ads in AI Experiences team to reinvent Search Ads for the AI era. The role focuses on building models and analytics to drive new, AI-powered advertising experiences and business value.

The team works across the stack—from data infrastructure to user experience and business models—while collaborating with stakeholders to translate questions into actionable analysis and measurable impact. Expect a highly technical, fast-paced environment.

Qualifications

• Master's degree in statistics, data science, mathematics, physics, economics, OR engineering or related quantitative field.
• 10 years of work experience using analytics to solve product or business problems, or 8 years with a PhD.

Responsibilities

• Collaborate with stakeholders to translate business questions into tractable analysis and metrics.
• Design and evaluate models to solve defined problems with limited precedent.
• Gather information on goals, priorities, and data infrastructure for analysis.
• Extract, curate, and validate data across sources using SQL, R, Python to ensure analysis readiness.

Skills

Analytics problem solving

Statistical thinking

Education

Master's degree in quantitative field

PhD degree (alternative)

Tools

Python

R

SQL

Job description

Google is hiring for a lead data science role within the Ads in AI Experiences team to reinvent Search Ads for the AI era. The role focuses on building models and analytics to drive new, AI-powered advertising experiences and business value.

The team works across the stack—from data infrastructure to user experience and business models—while collaborating with stakeholders to translate questions into actionable analysis and measurable impact. Expect a highly technical, fast-paced environment.