About the job

Google Search is the world's most trusted and knowledgeable health companion. Our mission is to help billions of people live healthier lives by activating seamless care-paths for every health journey. Health is one of the Alphabet's top priorities, and this is a high visibility role to work on eval, metrics, and user insights for AI answers for search health.

In this role, you will have significant opportunities to influence product/engineering directions. You will also have the opportunity to create and apply advanced statistical, ML, Large Language Model (LLM) methodologies to solve complex business problems.

The US base salary range for this full-time position is $174,000-$252,000 + 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

• Initiate projects inside and across the organization and drive to completion.

• 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 executive leadership.

• 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.

Minimum qualifications

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.

• 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.

Preferred qualifications

• 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.

• Experience with scientific methodologies and in areas such as LLM.

• Ability to think about product headroom opportunities in innovative ways.

• Ability to solve unstructured business problems with data science and translating results into impactful business/product recommendations.

• Ability to think critically, analyze problems, and develop data-driven solutions.

• Excellent verbal and written communication skills, and ability to articulate complex concepts to both technical and non-technical stakeholders.