Research Data Scientist, Learning Frontiers
Mountain View, CA, USA +1 · Full-time · Posted Oct 6, 2026
- Location
- Mountain View, CA, USA
New York, NY, USA - Experience
- 3 years for relevant analytics/coding/database/statistical-analysis work, or a PhD degree; 3 years in data analysis including statistical modeling or hypothesis testing. Preferred: 5 years for the former experience, or a PhD degree.
- Education
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
About the job
Analyze product data and experiments to evaluate educational features and improve learning experiences across Google products.
What you'll do
- Analyze complex data sets and experiments to optimize educational features and solve non-routine analysis problems.
- Document and maintain data pipelines and analysis workflows for scalable, reproducible research.
- Explore education-related logging and user identification gaps; gather, validate, and prepare data for analysis.
What they ask for
- Master's degree in a quantitative field listed in the posting.
- 3 years of relevant analytics, coding, database querying, or statistical-analysis experience, or a PhD degree.
- 3 years of data analysis experience, including statistical modeling or hypothesis testing.
- Experience creating data visualizations and communicating technical findings to non-technical stakeholders.
Nice to have
- 5 years of relevant analytics, coding, database querying, or statistical-analysis experience, or a PhD degree.
- EdTech or academic research experience; data-pipeline and documentation experience; or interest in AI for education.
Pay
$147000 - $210000 (USD) base salary; 15% bonus target (amount not stated)
Tools
SQL, R, Python, Gemini, Search, NotebookLM
AI focus
The team develops AI capabilities and evaluates AI-enabled educational experiences and features.
Model-written summary · the original posting is authoritative