Staff Research Data Scientist, Search AI Product

Google

New York (NY)

On-site

USD 207,000 - 300,000

Full time

14 days+

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Job summary

Google is seeking a Staff Research Data Scientist for the Search AI product to advance GenAI capabilities and unlock new use cases in Google Search.

You will design measurement approaches, analyze large datasets, and present actionable insights to influence product development and user experience at scale.

Qualifications

  • Master's degree in a quantitative field.
  • 8 years of analytics experience or 6 years with a PhD.
  • Strong coding and data querying capabilities.

Responsibilities

  • Lead and drive cross-functional development with Product Managers and Engineers.
  • Develop measurement methodologies for GenAI models.
  • Analyze large-scale datasets and present actionable recommendations to stakeholders.
  • Gather and validate data across sources using SQL, R, Python.

Skills

Analytics
Python
R
SQL
Stakeholder influence

Education

Master's degree
PhD preferred

Tools

Python
R
SQL

Job description

Staff Research Data Scientist, Search AI Product
Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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

Learn more about benefits at Google.

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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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