Staff Research Data Scientist, Search AI Product

Google; Mountain View (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google is seeking a data scientist to help advance the Search Intelligence Data Science team. You will leverage data and measurement methodologies to improve the quality of the Search AI product in the GenAI era, collaborating with developers and product managers to deliver a cutting-edge roadmap.

You will design measurement approaches and translate insights into product improvements for billions of users. Individual pay is determined by skills, experience, and education.

Qualifications

• Master's degree in a quantitative field and 8 years of analytics work experience, or PhD with 6 years.
• Strong coding skills in Python, R and SQL for analytics, querying databases and modeling.
• Experience solving product or business problems using analytics and data-driven decisions.

Responsibilities

• Lead cross-functional development with Product Managers and Engineers to identify growth and quality opportunities.
• Drive measurement methodologies for complex GenAI models and analyze large-scale datasets.
• Conduct rigorous analyses, apply statistical methods, and present actionable recommendations to stakeholders.
• Gather, extract, and validate data across sources using SQL, R, Python to prepare analysis-ready datasets.

Skills

Python

R

SQL

Statistics

Education

Master's degree

PhD

Tools

SQL

Python

R

Job description

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.

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.

About the job

As a part of the Search Intelligence Data Science team, you will help leverage data, measurement methodologies, analysis insights and modeling to help improve the quality of Search AI product in the context of latest GenAI capabilities and unlock new ways/use cases on how billions of users interact with Google search.

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.

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

Responsibilities

Learn more about benefits at Google .

• 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .