Senior Research Data Scientist, AI Data Intelligence

Google place Sunnyvale, CA, USA

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

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• 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.

• 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.

As a Senior Staff Data Scientist, you will serve as a key innovation driver within our AI Data organization. You will leverage your expertise in the full life‑cycle of data for large‑scale AI models (specifically Large Language Models (LLMs): from collection and distillation to precision curation and refinement.

In this role, you will be instrumental in conceiving, architecting, and deploying novel data solutions that directly enhance AI performance. You will translate complex and ambiguous data challenges into strategic opportunities that deliver quantifiable business value. You will collaborate with executive engineering and product stakeholders.

The US base salary range for this full‑time position is $248,000–$349,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Solve complex and ambiguous data science problems with particular focus on model evaluation and fine‑tuning data for Large Language Models.

Design and deploy novel data acquisition and quality improvement techniques for foundational models.

Utilize AI models and tools as integral components for evaluating, synthesizing, and understanding complex datasets.

Act as a critical technical partner, collaborating closely with Research, Engineering, and Product teams (Cloud AI Data and Google Deep Mind).

Develop new methodologies to improve the performance of Google's models through better training data, including data acquisition, and insights.

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.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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