Senior Staff Research Data Scientist, Search Ads in AI Experiences

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

Minimum qualifications

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


• 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree.

Preferred qualifications

• 12 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 10 years of work experience with a PhD degree.

About the job

The Ads in AI Experiences team is responsible for one of the highest-priority initiatives at Google: reinventing Search Ads for the AI era (AI Overview, AI Mode). We are building the tech stack, the user experience, and the business model simultaneously. Our mission is to ensure that as Search experience evolves with AI, we unlock new ways for users to discover and engage with businesses through seamless, next-generation commercial experiences. We are a team of risk-takers and builders, responsible for experimenting with rapid velocity to define the next decade of Google’s business engine. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Collaborate with stakeholders in cross-project 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, leveraging 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). Format, restructure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .