Research Data Scientist, Search Ads, Google Experience

Minimum Qualifications

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

Preferred Qualifications

• 5 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.

About the Job

In this role, you will develop the most important Ad products at Google—from classic text ads, to rich shopping ads, to exciting new products like Discovery ads. These products, the heart of Google’s business driving $100B+ in annual revenue, are complex, advanced, and rapidly growing and evolving.

Google Ads powers the open internet with technology that connects and creates value for people, publishers, advertisers, and Google. Our teams build advertising products across search, display, shopping, travel, and video, as well as analytics. We create trusted experiences between people and businesses with useful ads, helping businesses of all sizes—from small firms to large brands and YouTube creators—achieve measurable results.

Compensation

The US base salary range for this full‑time position is $147,000–$211,000 plus bonus, equity, and benefits. Salary ranges are determined by role, level, and location; individual pay is influenced by work location, job‑related skills, experience, and relevant education or training.

Responsibilities

• Collaborate with stakeholders in cross‑project and team settings to identify and clarify business or product questions. Provide feedback to translate and refine questions into tractable analysis, evaluation metrics, or mathematical models.
• Use custom data infrastructure or existing data models as appropriate, applying 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, restructure, or validate data to ensure quality, and review the dataset to confirm it is ready for analysis.

Equal Opportunity

Google is proud to be an equal opportunity workplace and 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 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 the Accommodations for Applicants form.