Research Data Scientist, Learning Frontiers

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

Job summary

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

You balance rigorous analysis with creative problem solving, bridging research goals and product surfaces, working with PMs, UX, Learning Science, and Engineers.

Qualifications

• Master's degree or PhD in a quantitative field.
• At least 3 years using analytics to solve product or business problems.
• Experience with data analysis and statistical testing.

Responsibilities

• Work with large, complex data sets to analyze experiments and interpret results across Google products.
• Develop and maintain data pipelines and analysis documentation.
• Identify educational intent and evaluate pedagogical experiments.
• Collaborate with cross-functional teams to improve products.
• Gather, extract, and validate data from multiple sources for analysis.

Skills

Python

R

SQL

Statistics

Data Visualization

Education

Master's degree in Statistics

Master's degree in Data Science

PhD degree in a related quantitative field

Tools

SQL

Python

R

Job description

Share Research Data Scientist, Learning Frontiers

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

X 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.
• 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

• 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 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.

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.