Staff Research Data Scientist, Search Ads GenAI

Staff Research Data Scientist, Search Ads GenAI
Mountain View, CA, USA

Qualifications

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

8 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of experience with a PhD degree.

Preferred Qualifications

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

Responsibilities

Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python).

Format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.

Partner as a Staff Data Scientist on the Ads Metrics team to explore Generative Artificial Intelligence (GenAI) projects on the Artificial Intelligence (AI) mode surface.

Evaluate experiments to identify what works versus what does not work, assess how to best serve embedded ads, understand users’ commercial journey on the surface, and develop a strategy for business generation.

Communicate with Ads product, engineering, and executive partners, and other organizations (e.g., customer solutions, business) to understand their needs, assist in decision-making, and align on solutions.

Compensation
US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits

Equal Opportunity Statement
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

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