Minimum qualifications:- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
- 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 degree.
Preferred qualifications:- 10 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of experience with a PhD degree.
About the jobAds Metrics is the Data Science team for Search and owned and operated ads. You will support the Search Ads and Google Experience (SAGE) organization in developing ad products at Google-from classic text ads and rich shopping ads to new products like demand generation campaigns, local ads, travel ads, and more. These products, driving over $200 billion in annual business, are rapidly growing and evolving.
You will guide product development and executive decisions with data. Particularly, you will measure the long-term impact of all the changes you make on users, advertisers, and Google systems with experiment designs, identify new growth opportunities with data analysis, and understand the tradeoffs between user, advertiser, and Google value with principled frameworks.
You will work with engineering and product management partners to improve products, and with SAGE executives to understand the growth levers and their impact on business. Your role is to drive long-term value for Google's business with excellent data science.
US: $207000 - $301000 (USD) 20% bonus target equity benefits
Responsibilities- Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python).
- Format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
- Partner as a Staff Data Scientist on the Ads Metrics team to explore Generative Artificial Intelligence (GenAI) projects on the Artificial Intelligence (AI) mode surface.
- Evaluate experiments to identify what works versus what does not work, assess how to best serve embedded ads, understand users' commercial journey on the surface, and develop a strategy for business generation.
- Communicate with Ads product, engineering, and executive partners, and other organizations (e.g., customer solutions, business) to understand their needs, assist in decision-making, and align on solutions.
