Lead Research Data Scientist, Learning Frontiers

Google LLC; Mountain View, New York (CA, NY); On-site; USD 207,000 - 300,000; Full time

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

Share Lead Research Data Scientist, Learning Frontiers

corporate_fare Google place Mountain View, CA, USA ; New York, NY, USA

In most instances, this position requires in-person interviews as part of the hiring process.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.

• 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

About the job

The Learning Frontiers team drives educational impact by bridging foundational AI research with pedagogy-driven product experiences. We aim to graduate successful pedagogical prototypes into primary Google surfaces - such as Gemini, Search, YouTube, and NotebookLM - to support the learner’s journey. To evolve these approaches, we need to develop measures of successful learning, especially in situations when traditional engagement metrics (like clicks) may conflict with the desirable friction required for deep learning.

As a Data Scientist on the Learning Frontiers team, you will dive deep into our logs to identify educational intent, help define user personas, and evaluate experiments that test our pedagogical hypotheses. This role requires a balance of rigorous analysis and creative problem-solving as you help us navigate data gaps and build the "connective tissue" between our research goals and our product surfaces.

This is a unique chance to join our multidisciplinary team of Product Managers, Program Managers, User Experience, Learning Science specialists, and Engineers and work on cutting-edge AI capabilities, building new features from the ground up.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google .

• 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.
  

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.