> Markdown version of [/jobs/ext/3819543-senior-staff-research-data-scientist-ai-data-research](https://www.wearedevelopers.com/jobs/ext/3819543-senior-staff-research-data-scientist-ai-data-research). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Staff Research Data Scientist, AI Data Research - **Company:** Google LLC - **Location:** Mountain View, CA, United States - **Experience:** Expert - **Salary:** $262,000.0 - $364,000.0 - **Contract:** Permanent contract - **Skills:** Training Data, Artificial Intelligence, Databases, Data Files, R (Programming Language), Python (Programming Language), SQL Databases, Reinforcement Learning, Deep Learning - **Published:** October 18, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=4243db8b30e29a1c ## About the Role * Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience. * 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. * Experience in Deep Learning, Infrastructure Systems, or Reinforcement Learning. ## Description * Work with data sets and solve complex and ambitious data science problems. * Share/present to executive stakeholders and executives, effectively defend your work, and influence strategy and product direction. * Interact cross-functionally with a wide range of product and model teams. Work closely with Product Management and engineering to identify opportunities. * Define key metrics to measure success in various shapes and forms. * Develop new methodologies to improve the performance of Google's models through better training data, including data acquisition, and insights.