Solve complex engineering challenges and expand infrastructure while maintaining a universally accessible and useful experience in Google Search
Requirements
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field
- 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis
- Experience with statistical modeling, survey design, data analysis, and effective experimental design
- Ability to apply statistical training to real-world data
- Experience with strategic analysis, metric reporting, and executive presentations
Responsibilities
- Work with large, complex data sets
- Solve difficult, non-routine analysis problems, apply advanced problem-solving methods
- Build and prototype analysis pipelines iteratively to provide insights at scale
- Develop a comprehensive understanding of Google data structures and metrics, advocating for changes where needed for both product development
- Research and develop analysis, forecasting, and optimization methods to improve the quality of Google's user-facing products
Other
- Excellent communication skills, with the ability to extract insights from data and telling convincing stories
- Ability to complete project work separately and work with cross-functional teams in a dynamic, fast-moving environment
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field
- 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis
