About Google
Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.
About the role
In this high-impact role on the Google Health Search team, you will define the future of AI-generated health guidance, a top Alphabet priority. You will develop and own the core evaluation frameworks, metrics, and methodologies that ensure our AI-powered health answers are safe, helpful, and of the highest quality. Partnering closely with Product and Engineering leaders, you will influence strategy and roadmaps by translating complex data insights into actionable recommendations.
What they're looking for
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field
- 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
More about this role
- Research and develop advanced analysis, causal inference analysis of impact, create new methodologies (e.g., LLM-based method) to identify product opportunities from various data sources, product headroom analysis for key AI features.
- Initiate projects inside and across the organization and drive to completion autonomously.
- Frame and solve ambiguous business problems and communicate the solutions effectively.
- Interact cross-functionally, be a thought partner and influence a wide range of product stakeholders.
- Communicate clearly and persuasively to influence executive product leadership (VPs and Directors).
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 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.
- 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree.
- Track...
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