Google
Staff Data Scientist, Applied Research, Search Platforms
Google, Mountain View, California, us, 94039
Staff Data Scientist, Applied Research, Search Platforms
Join to apply for the
Staff Data Scientist, Applied Research, Search Platforms
role at
Google Staff Data Scientist, Applied Research, Search Platforms
4 days ago Be among the first 25 applicants Join to apply for the
Staff Data Scientist, Applied Research, Search Platforms
role at
Google Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Mountain View, CA, USA; Cambridge, MA, 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. Experience with strategic analysis, metric reporting, and executive presentations. Experience with statistical modeling, survey design, data analysis, and effective experimental design. Ability to complete project work separately and work with cross-functional teams in a dynamic, fast-moving environment. Ability to apply statistical training to real-world data. Excellent communication skills, with the ability to extract insights from data and telling convincing stories.
About The Job
Search Platform Data Science team works on understanding and measuring Search systems, including but not limited to Experiment, Reliability, Velocity, Latency, Capacity, Content, Logs Quality and Search Infrastructure.
Search Platforms Data Science team focuses on understanding and measuring Search systems. Data Scientists in Search Platforms work on defining and developing the system metrics that would let us understand how effective and efficient our systems are, and how they interact with each other (and other Google systems). The team partners with Engineering and Product teams in Search Platforms on system-level optimizations, and collaborates closely with Search verticals and horizontal teams, SREs, Core to understand the impact of system changes on user experience and on Google business.
In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.
The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities
Work with large, complex data sets. Solve difficult, non-routine analysis problems, apply advanced problem-solving methods. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations. Build and prototype analysis pipelines iteratively to provide insights at scale. Develop a comprehensive understanding of Google data structures and metrics, advocating for changes where needed for both product development. Interact cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities for, design, and assess improvements to google products. Make business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information. Research and develop analysis, forecasting, and optimization methods to improve the quality of Google's user-facing products. Application areas include ads quality, search quality, end-user behavioral modeling, and live experiments.
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 . Seniority level
Seniority level Not Applicable Employment type
Employment type Full-time Job function
Job function General Business, Strategy/Planning, and Consulting Industries Information Services and Technology, Information and Internet Referrals increase your chances of interviewing at Google by 2x Get notified about new Data Scientist jobs in
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Join to apply for the
Staff Data Scientist, Applied Research, Search Platforms
role at
Google Staff Data Scientist, Applied Research, Search Platforms
4 days ago Be among the first 25 applicants Join to apply for the
Staff Data Scientist, Applied Research, Search Platforms
role at
Google Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Mountain View, CA, USA; Cambridge, MA, 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. Experience with strategic analysis, metric reporting, and executive presentations. Experience with statistical modeling, survey design, data analysis, and effective experimental design. Ability to complete project work separately and work with cross-functional teams in a dynamic, fast-moving environment. Ability to apply statistical training to real-world data. Excellent communication skills, with the ability to extract insights from data and telling convincing stories.
About The Job
Search Platform Data Science team works on understanding and measuring Search systems, including but not limited to Experiment, Reliability, Velocity, Latency, Capacity, Content, Logs Quality and Search Infrastructure.
Search Platforms Data Science team focuses on understanding and measuring Search systems. Data Scientists in Search Platforms work on defining and developing the system metrics that would let us understand how effective and efficient our systems are, and how they interact with each other (and other Google systems). The team partners with Engineering and Product teams in Search Platforms on system-level optimizations, and collaborates closely with Search verticals and horizontal teams, SREs, Core to understand the impact of system changes on user experience and on Google business.
In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.
The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities
Work with large, complex data sets. Solve difficult, non-routine analysis problems, apply advanced problem-solving methods. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations. Build and prototype analysis pipelines iteratively to provide insights at scale. Develop a comprehensive understanding of Google data structures and metrics, advocating for changes where needed for both product development. Interact cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities for, design, and assess improvements to google products. Make business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information. Research and develop analysis, forecasting, and optimization methods to improve the quality of Google's user-facing products. Application areas include ads quality, search quality, end-user behavioral modeling, and live experiments.
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 . Seniority level
Seniority level Not Applicable Employment type
Employment type Full-time Job function
Job function General Business, Strategy/Planning, and Consulting Industries Information Services and Technology, Information and Internet Referrals increase your chances of interviewing at Google by 2x Get notified about new Data Scientist jobs in
Mountain View, CA . Data Scientist, Analytics - Safety Response
San Francisco Bay Area $140,000.00-$157,500.00 2 weeks ago Palo Alto, CA $164,000.00-$211,000.00 2 weeks ago Data Scientist Graduate (TikTok-Product-Data Science)-2026 Start (BS/MS)
San Jose, CA $114,000.00-$177,777.00 1 week ago Fremont, CA $145,000.00-$204,000.00 1 week ago Data Scientist, Energy Analytics, Google Cloud
Sunnyvale, CA $166,000.00-$244,000.00 1 week ago Mountain View, CA $141,000.00-$202,000.00 1 week ago San Jose, CA $109,000.00-$192,400.00 2 weeks ago Mountain View, CA $240,000.00-$280,000.00 5 days ago Mountain View, CA $136,301.00-$172,486.00 1 week ago Data Scientist, Product, Play Data Science and Analytics
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Palo Alto, CA $200,000.00-$250,000.00 2 weeks ago Mountain View, CA $141,000.00-$202,000.00 3 days ago Fremont, CA $145,000.00-$204,000.00 2 weeks ago Menlo Park, CA $173,000.00-$242,000.00 2 weeks ago Sunnyvale, CA $173,000.00-$242,000.00 2 weeks ago Sunnyvale, CA $145,000.00-$204,000.00 2 weeks ago Menlo Park, CA $145,000.00-$204,000.00 2 weeks ago San Jose, CA $144,000.00-$240,000.00 1 day ago Santa Clara, CA $170,000.00-$225,000.00 6 days ago San Jose, CA $123,500.00-$212,850.00 2 weeks ago Sunnyvale, CA $165,000.00-$180,000.00 1 week ago Fremont, CA $173,000.00-$242,000.00 10 hours ago San Jose, CA $137,500.00-$236,500.00 2 weeks ago Data Scientist Graduate [TikTok LIVE-Data Science] - 2026 Start (BS/MS)
San Jose, CA $84,445.00-$124,445.00 1 week ago Santa Clara, CA $150,000.00-$195,000.00 3 days ago San Jose, CA $176,356.00-$329,334.00 6 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr