Lead Research Data Scientist, Learning Frontiers

• Analyze logs directly, frame strategic questions, conduct external research, and develop roadmaps.
  
• Lead the development of metrics and proxies to evaluate the learning impact of AI in live experiments on Gemini, Search, and NotebookLM.
  
• Conduct analysis including data gathering, requirements specification, processing, deliverables, and presentations to solve non-routine problems.
  
• Design experiments for longitudinal analyses, and evaluate cross-product user journeys for educational purposes.
  
• Provide technical leadership and mentorship to team members.
  

Minimum qualifications:

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
  
• 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.
• Experience with cross-functional projects and defining measurement frameworks.

Preferred qualifications:

• PhD in a quantitative field with a focus on pedagogy or educational psychology.
  
• 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.
  
• Experience measuring learning impact or efficacy in digital environments, beyond standard engagement metrics.
  
• Experience mentoring junior data scientists and guiding technical strategy for emerging product areas.
  
• Proven ability to navigate complex, fragmented data landscapes across multiple product surfaces (e.g., Search, YouTube, Gemini).
  
• Excellent written and verbal communication skills

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
  
• 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.
• Experience with cross-functional projects and defining measurement frameworks.