Senior Data Scientist, Learning Frontiers

Google LLC

Mountain View, New York (CA, NY)

On-site

USD 207,000 - 300,000

Full time

5 days ago
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Job summary

Google LLC in Mountain View, CA, is seeking a Share Lead Research Data Scientist for the Learning Frontiers team. The role focuses on bridging AI research with pedagogy-driven product experiences across Google surfaces, driving measurable learning outcomes.

You will analyze logs, define user personas, and evaluate experiments to test pedagogical hypotheses, balancing rigorous analysis with creative problem-solving.

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.

Responsibilities

  • 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.

Skills

Analytics
Python
R
SQL
Statistical analysis

Education

Master's degree in a quantitative field
PhD degree in a quantitative field

Job description

Google LLC in Mountain View, CA, is seeking a Share Lead Research Data Scientist for the Learning Frontiers team. The role focuses on bridging AI research with pedagogy-driven product experiences across Google surfaces, driving measurable learning outcomes.

You will analyze logs, define user personas, and evaluate experiments to test pedagogical hypotheses, balancing rigorous analysis with creative problem-solving.

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