Senior Research Data Scientist, AI Developer Tools
Google Cloud offers a suite of Gemini-powered products. At the heart of this innovation is the Cloud Products Analytics team, which plays a central role in driving business success through data. We cover the entire analytics spectrum - from designing foundational metrics and uncovering deep user insights via innovative, rigorous, and advanced statistical methodologies to leading critical product launch evaluations.
In this role, you will partner directly with Engineering and Product Management teams to shape Generative AI-based development tools that are fundamentally redefining developer productivity. You will drive the product success of flagship, high-priority Google Cloud initiatives on a team where analytics directly influences executive decisions.
You will work at the forefront of AI, applying advanced analytics to next-generation developer tools. You will also serve as a co-pilot to product and engineering leaders, steering the direction of the product from inception to launch.
US: $174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits
Learn more about benefits at Google.
Minimum qualifications:
- 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.
Preferred qualifications:
- 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.
- Familiarity with modern machine learning techniques and Large Language Models (LLMs).
Data & ML pay context
Based on 1,389 disclosed Data & ML salaries on RoleSuite, the role pays a median of $165K/year, with most offers between $128K and $210K (10th–90th percentile: $108K–$246K).
This posting lists $174K–$253K, above the $165K market median.
See the full Data & ML salary breakdown →