The Lead Research Data Scientist for Learning Frontiers at Google will focus on bridging AI research with pedagogical product experiences. This role involves analyzing educational intent from user logs and defining user personas to evaluate experiments that test pedagogical hypotheses. The team aims to develop measures of successful learning, especially in digital environments. This position offers a unique opportunity to work with a multidisciplinary team on cutting-edge AI capabilities.

• 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.

• 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.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.