- Location
- Mountain View, CA, United States · Onsite
- Compensation
- $207,000 - $300,000 USD annually
- Employment
- Full-time
- Experience level
- STAFF (10+ years exp)
- Specialization
- Data Scientist, Research, Google
- Source
Role Overview
In this role, you will have an exciting opportunity to work on the fast evolving AI feature of Google Search. You will be working closely with a strong team of developers and product managers, and delivering on a roadmap aimed at revolutionizing the Google Search experience with the latest GenAI model capabilities. You will design and develop measurement approaches to make sure we deliver the most useful product to users. Your insights will help voice user needs, unlock new use cases and ways of how billions of users interact with Google search on a daily basis.
Responsibilities
- Lead and drive cross-functional development with a wide variety of teams, working closely with Product Managers and Engineers to identify growth and quality opportunities for the product.
- Drive understanding, evaluation and development of measurement methodologies for complex GenAI models.
- Conduct rigorous analyses of large-scale datasets, applying statistical methods to solve complex problems, and presenting actionable recommendations to various stakeholders as your insights will influence product development, improve user experiences, and drive business outcomes.
- Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python), independently format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
Requirements & 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.
Application Instructions
Apply directly on Google Careers at Staff Research Data Scientist, Search AI Product.
Direct application sign-in: Submit Application
Note: In most instances, this position requires in-person interviews as part of the hiring process.