Research Data Scientist, Learning Frontiers

• Work with large, complex data sets to analyze experiments and interpret results to optimize educational features across Gemini, Search, NotebookLM, experimental products, and solve difficult, non-routine analysis problems.
  
• Develop and maintain documentation for data pipelines and analysis workflows to ensure research is scalable and reproducible.
  
• Conduct exploratory data analysis to identify and address gaps in education-related logging and user identification.
  
• Interact cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities for, design, and assess improvements to google products.
  
• Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Independently format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.

Minimum qualifications:

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
  
• 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
  
• 3 years of experience in data analysis, including experience with statistical modeling or hypothesis testing.
• Experience creating data visualizations and communicating technical findings to non-technical stakeholders.
  

Preferred qualifications:

• 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 a PhD degree.
  
• Experience in the education technology (EdTech) sector or academic research environments.
  
• Experience building and maintaining data pipelines and documentation for scalability.
  
• Interest in using AI to create transformative educational experiences.
  

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
  
• 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
  
• 3 years of experience in data analysis, including experience with statistical modeling or hypothesis testing.
• Experience creating data visualizations and communicating technical findings to non-technical stakeholders.