<p>Apply</p> <p>share</p> <ul> <li>linkCopy link </li><li>emailEmail a friend </li></ul> <p>info_outline</p> <p>XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA; San Francisco, CA, USA.</p> <p>Minimum qualifications:</p> <ul> <li> <p>Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.</p> </li><li> <p>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.</p> </li></ul> <p>Preferred qualifications:</p> <ul> <li> <p>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.</p> </li><li> <p>Experience in scientific methodologies and in areas such as LLM.</p> </li><li> <p>Experience solving unstructured business problems with data science and translating results into impactful business/product recommendations.</p> </li><li> <p>Ability to think critically, analyze complex problems, and develop data-driven solutions.</p> </li></ul> <p>About the job</p> <p>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.</p> <p>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.</p> <p>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.</p> <p>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.</p> <p>Responsibilities</p> <ul> <li> <p>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.</p> </li><li> <p>Initiate projects inside and across the organization and drive to completion autonomously.</p> </li><li> <p>Frame and solve ambiguous business problems and communicate the solutions effectively.</p> </li><li> <p>Interact cross-functionally, be a thought partner and influence a wide range of product stakeholders.</p> </li><li> <p>Communicate clearly and persuasively and influence product leadership (i.e., VPs and Directors).</p> </li></ul>