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# Senior Data Scientist, Research, Search Health

- **Company:** Google LLC
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Salary:** $174,000.0 - $252,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Databases, R (Programming Language), Python (Programming Language), SQL Databases, Google Search, Large Language Models
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=46a0cf0541d04b5a

## About the Role

* Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
 * 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 3 years of work experience with a PhD degree., * 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
 * Experience with scientific methodologies and in areas such as LLM.
 * Ability to think about product headroom opportunities in innovative ways.
 * Ability to solve unstructured business problems with data science and translating results into impactful business/product recommendations.
 * Ability to think critically, analyze problems, and develop data-driven solutions.
 * Excellent verbal and written communication skills, and ability to articulate complex concepts to both technical and non-technical stakeholders.

## Description

* Initiate projects inside and across the organization and drive to completion.
 * Frame and solve ambiguous business problems and communicate the solutions effectively.
 * Interact cross-functionally, be a thought partner and influence a wide range of product stakeholders.
 * Communicate clearly and persuasively and influence executive leadership.
 * Research and develop advanced analysis, causal inference analysis of impact, create new methodologies (e.g., LLM-based method) to identify product opportunities from various data sources, product headroom analysis for key AI features.


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