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# Senior Data Scientist

- **Company:** Google LLC
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $206,600.0 - $237,000.0
- **Contract:** Permanent contract
- **Skills:** Big Data, Data Structures, R (Programming Language), Python (Programming Language), SQL Databases, Usage Analysis
- **Published:** September 2, 2026
- **Apply:** https://dejobs.org/x/x/CDE92615E90B4A2D9A308C57D3B3701E/job/

## About the Role

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area., * Bachelor's degree in Data Science, Statistics, Mathematics, Physics, Economics, Operations Research or a related field and 6 years of progressive post-baccalaureate experience in the job offered or in a Data Scientist-related occupation.

 * Alternatively, will accept a Master's degree in Data Science, Statistics, Mathematics, Physics, Economics, Operations Research or a related field, and 3 years of experience in the job offered or in a Data Scientist-related occupation.
 * Position requires 3 years of experience in the following: Coding in SQL, Python, or R to manipulate, analyze, visualize large datasets, and build models; Statistical analysis or quantitative data synthesis to draw inferences, identify trends, and solve product or business problems; User experience measurement or attribution modeling to evaluate customer interactions; Product analytics or business intelligence to define metrics, create dashboards, and measure success; and Stakeholder management or cross-functional collaboration to align objectives, gather consensus, and persuade leaders.

## Description

* Extract, format, and validate complex datasets from multiple sources to guarantee quality and analysis readiness.
 * Execute advanced analyses utilizing SQL, R, and Python to resolve ambiguous problems and deliver optimal solutions.
 * Report Key Performance Indicators to leadership and translate analytical results into actionable product improvement insights.
 * Prototype scalable business cases and build robust processes with the foresight to anticipate future challenges.
 * Master internal data structures and metrics to effectively advocate for impactful product development changes. Influence cross-functional teams to align strategic resources while providing oversight and setting standards for data scientists.


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