Help serve Google's worldwide user base of more than a billion people by providing quantitative support, market understanding and a strategic perspective to partners throughout the organization
Requirements
- 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL)
- Understanding of machine learning models and Large Language Models, with practical experience in evaluating and iteratively improving model performance
- Python
- R
- SQL
- Coding experience
- Analysis applications experience
Responsibilities
- Perform analysis by utilizing relevant tools (e.g., SQL, R, Python) using comprehensive technical knowledge, use custom data infrastructure or existing data models
- Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, and validate data to ensure quality
- Report Key Performance Indicators (KPIs) to support business reviews with cross functional/organizational leadership team. Translate analysis results to business insights or product improvement opportunities
- Apply statistical analysis, machine learning models, and Large Language Models (LLMs) to solve problems, such as predicting test failures, optimizing configurations, or identifying root causes of developer friction
- Build and prototype analysis and business cases iteratively to provide insights at scale. Develop comprehensive knowledge of Google data structures and metrics
Other
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field
- Excellent communication and presentation skills, including the ability to effectively communicate technical findings to both technical and non-technical audiences
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field (preferred)
- Ability to work with cross functional/organizational leadership team
- Equal opportunity workplace and affirmative action employer
