The role
From Google's own posting.
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. You will also apply and pioneer advanced statistical, machine learning, and large language model (LLM) techniques to solve novel challenges in the safety and helpfulness of health information.
In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google .
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).
Minimum qualifications:
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.
Preferred qualifications:
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 record of solving unstructured business problems with data science and translating results into impactful business/product recommendations.
Strategic mindset with the ability to think critically, analyze complex problems, and develop data-driven solutions.
Excellent verbal and written communication skills with the ability to articulate complex concepts to both technical and non-technical stakeholders.
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.