Senior Staff Research Data Scientist, Search Ads in AI Experiences
About The Position
The Ads in AI Experiences team is reinventing Search Ads for the AI era, including AI Overview and AI Mode. The team is building the technology stack, user experience, and business model while developing new ways for users to discover and engage with businesses through next-generation commercial experiences. It experiments rapidly to help shape the future of Google's business engine. Google Ads applies AI and Generative AI models, including Gemini, to a global business. The work affects billions of users through efforts to protect users from harm, improve ad quality, and optimize advertiser return on investment. The role involves close collaboration with teams such as Google Research and DeepMind to address complex challenges and build advertising technology at scale.
Requirements
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 10 years of work experience using analytics to solve product or business problems, coding (such as Python, R, or SQL), querying databases, or statistical analysis; alternatively, 8 years of this experience with a PhD.
Nice To Haves
- 12 years of work experience using analytics to solve product or business problems, coding (such as Python, R, or SQL), querying databases, or statistical analysis; alternatively, 10 years of this experience with a PhD.
Responsibilities
- Collaborate with stakeholders across projects and teams to identify and clarify business or product questions.
- Help translate and refine business questions into tractable analyses, evaluation metrics, or mathematical models.
- Use appropriate custom data infrastructure or existing data models, applying specialized knowledge.
- Design and evaluate models to mathematically express and solve defined problems with limited precedent.
- Gather information about the questions to answer, business goals, priorities, organizational context, and existing or upcoming data infrastructure.
- Gather, extract, and compile data from multiple sources using relevant tools such as SQL, R, and Python.
- Format, restructure, and validate data quality, and review datasets to ensure they are ready for analysis.
Benefits
- Equity
- Benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
