Research Data Scientist, Learning Frontiers

Google; New York (NY); On-site; USD 147,000 - 210,000; Full time

Benefits offered by this job

Bonus target

Equity

Benefits

Job summary

Google's Learning Frontiers team seeks a Data Scientist to dive into large logs, identify educational intent, define user personas, and evaluate experiments that test pedagogical hypotheses.

You will collaborate across PMs, UX, learning science, and engineering to connect research goals with Google products like Gemini, Search, and NotebookLM, building scalable data pipelines to support deep learning.

Qualifications

• Master's degree in a quantitative field as listed.
• 3 years of work experience with 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 statistical modeling or hypothesis testing.
• Experience creating data visualizations and communicating technical findings to non-technical stakeholders.

Responsibilities

• 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.

Skills

Data analysis

Statistical modeling

Hypothesis testing

Data visualization

Stakeholder communication

Education

Master's degree in Statistics/Math/Quantitative field

PhD degree (preferred)

Tools

SQL

Python

R

Job description

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.

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.

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: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .