Staff Research Data Scientist, Search AI Product

About the role

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

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

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.