Data Scientist, Core Experience Trust

As a Data Scientist for the Age Verification team, you will play a key role in defining and executing Google-wide age verification strategies. You will collaborate with other data scientists to address complex challenges that are at the intersection of regulatory compliance and minor protection, and are deeply interwoven with product and business priorities across Google. This is a high-visibility, high-stakes role in a fast-paced and strategically important space for Google. You will partner closely with product managers and engineering to design, measure, and scale age verification methods (e.g., ID, credit card, and automated solutions) across Google's ecosystem.
The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $138000 - $198000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

Conduct in-depth search analyses to inform the Google-wide age verification strategy, collaborating closely with product managers to translate product questions into analytical frameworks.

Partner with cross-functional teams across different Product Areas (PAs) to design, run, and analyze experiments (e.g., A/B testing) to optimize verification flows and minimize user friction.

Collaborate with engineering and data engineering to design, build, and maintain data warehouse pipelines and infrastructure solutions that support reliable reporting and analysis.

Engage and build relationships with stakeholders across different PAs (e.g., Search, YouTube, Ads, Payments) to align on verification strategies and metrics.

Develop and track Key Performance Indicators (KPIs) for verification rates, fraud detection, and user experience.

Minimum qualifications:

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years of work experience with a Master's degree).

Preferred qualifications:

Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL).

Experience in Trust and Safety, identity verification, fraud detection, or privacy-first product development.

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years of work experience with a Master's degree).