In this role, you will work on evaluation, metrics, and user insights for AI answers within Search Health. You will have opportunities to influence Product and Engineering directions through strategic data-driven insights. Furthermore, you will create and apply advanced statistical, Machine Learning (ML), and Large Language Model (LLM) methodologies to solve complex, ambiguous business problems.
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.****
The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Research and develop advanced analysis, causal inference analysis of impact, creatve 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 and influence product leadership (i.e., VPs and Directors).
Qualifications
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.
- Experience in scientific methodologies and in areas such as LLM.
- Experience solving unstructured business problems with data science and translating results into impactful business/product recommendations.
- Ability to think critically, analyze complex problems, and develop data-driven solutions.