Senior Product Data Scientist, Search App Growth

Minimum qualifications:

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


• 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years 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.


• 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).

About the job:

Magpie Data Science supports broader Search including the Mobile Apps, Discovery, Multimodal and AI Search. We are a dynamic and exciting bunch working on the cutting edge of Search at Google.

As a data scientist on the App Foundations team, you will play a central role in telling the growth story through data. You will support the broader team by understanding growth of the mobile apps and identifying opportunities, troubleshooting issues and summarizing progress against goals. You will also work with product teams (notifications, promos, AI features, etc.) to understand their impact on growth of the apps.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

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

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:

• Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Help solve problems, narrowing down multiple options into the best approach, and take ownership of open-ended ambiguous business problems to reach an optimal solution.


• Build new processes, procedures, methods, tests, and components with foresight to anticipate and address future issues.


• Report on Key Performance Indicators (KPIs) to support business reviews with the cross-functional/organizational leadership team. Translate analysis results to business insights or product improvement opportunities.


• Build and prototype analysis and business cases iteratively to provide insights at scale. Develop comprehensive knowledge of Google data structures and metrics, advocating for changes where needed for product development.


• Maintain a broad understanding of Search App Growth across iOS and Android, including browsers.