Research Data Scientist — AI Ads Experiences (Equity)

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

Job summary

Google Ads is reinventing Search Ads for the AI era. The Ads in AI Experiences team builds the tech stack, user experience, and business model to deliver next‑gen commercial experiences.

The role focuses on collaborating across teams to translate business questions into tractable analytics, designing models, and ensuring high‑quality data for rigorous evaluation. Individual pay is determined by skills, experience, and education.

Qualifications

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

Responsibilities

• Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
• Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
• Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
• Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Independently format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.

Education

Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field, or equivalent practical experience.

3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.

Tools

Python

R

SQL

Job description

Google Ads is reinventing Search Ads for the AI era. The Ads in AI Experiences team builds the tech stack, user experience, and business model to deliver next‑gen commercial experiences.

The role focuses on collaborating across teams to translate business questions into tractable analytics, designing models, and ensuring high‑quality data for rigorous evaluation. Individual pay is determined by skills, experience, and education.