Google Ads is looking to solve product or business problems using analytics and data science to support the development of ad products and create value for people, publishers, advertisers, and Google.
Requirements
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 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 3 years of work experience with a PhD degree.
- 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
- Python, R, SQL
Responsibilities
- Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
- 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.
- Own the process of gathering, extracting, and compiling data across sources via relevant tools. Separately format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
- Support and lead Search Ads GenAI effort using data science, Research, develop and maintain north star metrics for Search Ads to make data-driven decisions. Drive the applied research to improve search ads experimentation infrastructure and A/B experiments methodology.
Other
- Master's degree in a related quantitative field.
- 5 years of work experience
- PhD degree
- Equal opportunity workplace and affirmative action employer
- Disability or special need accommodation
