Google's business and technical strategies are shaped by processing, analyzing, and interpreting huge data sets to identify opportunities for Google and its clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior.
Requirements
- coding (e.g., Python, R, SQL)
- querying databases
- statistical analysis
Responsibilities
- Use custom data infrastructure or existing data models as appropriate, using specialized knowledge.
- Design and evaluate models to mathematically express and solve defined problems with limited precedent.
- Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
- 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.
- Develops analyses, models and methods to support and verify the impact of your recommendations.
- Evaluate and improve Google's products.
Other
- 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.
- 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.
- work on multiple projects concurrently
- share your expertise by consulting on projects, serving on committees and mentoring team members.
