Develop, evaluate, and improve Google's advertising products including Search, Display, Apps, TV, and Video (e.g., YouTube) by solving product or business problems using analytics and coding
Requirements
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience
- 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
- Experience with Deep Learning
- Experience in working on applied data problems in Ads (e.g., bidding, ranking, etc.)
- Master's degree or PhD in Statistics or a related field
- 8 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of experience with a PhD
Responsibilities
- Shape and support privacy-preserving, data-motivated advertising products by collaborating with engineering, product, and customer-facing teams
- Define key advertising questions (e.g., incrementality, privacy impact, user behavior) with multiple teams then develop and implement quantitative solutions
- Design experiments and establish causality using causal inference to assess attribution and answer data-motivated questions
- Analyze datasets to solve testing problems and conduct analysis from data gathering and exploration to model development and present results to stakeholders
- Build analysis pipelines for insights, develop an understanding of Google's data structures, advocating for necessary improvements
Other
- Master's degree in a related field or equivalent practical experience
- 3 years of work experience or a PhD degree
- Collaboration with a multi-disciplinary team of engineers, analysts, and product managers
- Developing new ideas and methods that drive Ad measurement and generate business
- Disability or special need that requires accommodation
