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Staff Research Data Scientist, Search Ads GenAI

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Mountain View, CA • Posted Recently
Onsite Full Time INFORMATION_TECHNOLOGY

Minimum qualifications:

  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
  • 8 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of experience with a PhD degree.

Preferred qualifications:

  • 10 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of experience with a PhD degree.

About the job

Ads Metrics is the Data Science team for Search and owned and operated ads. You will support the Search Ads and Google Experience (SAGE) organization in developing ad products at Google—from classic text ads and rich shopping ads to new products like demand generation campaigns, local ads, travel ads, and more. These products, driving over $200 billion in annual business, are rapidly growing and evolving.

You will guide product development and executive decisions with data. Particularly, you will measure the long-term impact of all the changes you make on users, advertisers, and Google systems with experiment designs, identify new growth opportunities with data analysis, and understand the tradeoffs between user, advertiser, and Google value with principled frameworks.

You will work with engineering and product management partners to improve products, and with SAGE executives to understand the growth levers and their impact on business. Your role is to drive long-term value for Google's business with excellent data science.

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python).
  • Format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
  • Partner as a Staff Data Scientist on the Ads Metrics team to explore Generative Artificial Intelligence (GenAI) projects on the Artificial Intelligence (AI) mode surface.
  • Evaluate experiments to identify what works versus what does not work, assess how to best serve embedded ads, understand users’ commercial journey on the surface, and develop a strategy for business generation.
  • Communicate with Ads product, engineering, and executive partners, and other organizations (e.g., customer solutions, business) to understand their needs, assist in decision-making, and align on solutions.
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.

Additional Information

Published
2026-06-30T13:37:27.240Z
Url
https://careers.google.com/jobs/results/142132818057536198-staff-research-data-scientist/
Jobtype
FULL_TIME
Employer
Google
Languagecode
en-US
Remote
onsite
Isremote
No
Ishybrid
No
City
Mountain View
State
CA
Country
USA
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