Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management.
Requirements
- coding (e.g., Python, R, SQL)
- performing statistical analysis
- using analytics to solve product or business problems
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.
Other
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related field, or equivalent practical experience.
- 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 of work experience with a Master's degree).
- 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).
- Influence across teams to align resources and direction.
