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# Staff Data Scientist, Research, Search Health

- **Company:** Google LLC
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $207,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Databases, R (Programming Language), Python (Programming Language), SQL Databases
- **Published:** September 27, 2026
- **Apply:** https://dejobs.org/x/x/6EB588D3172B45A0B24138C280B7F9D4/job/

## About the Role

* Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
 * 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., * 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.
 * Track record of solving unstructured business problems with data science and translating results into impactful business/product recommendations.
 * Strategic mindset with the ability to think critically, analyze complex problems, and develop data-driven solutions.
 * Excellent verbal and written communication skills with the ability to articulate complex concepts to both technical and non-technical stakeholders.

## Description

* 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.
 * Initiate projects inside and across the organization and drive to completion autonomously.
 * 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 to influence executive product leadership (VPs and Directors).


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