Google
Staff Data Scientist, Research, Search Platforms
Google, Mountain View, California, us, 94039
Staff Data Scientist, Research, Search Platforms
Staff Data Scientist, Research, Search Platforms
1 week ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. 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.
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. PhD in a quantitative discipline such as Statistics, Engineering, Physics or Mathematics. Experience articulating business questions and using mathematical techniques to arrive at an answer using available data and translating analysis results into business recommendations. Ability to exhibit leadership and self-direction, along with a proactive willingness to both instruct and learn new techniques.
About the job In this role, you will work on understanding and measuring Search systems, including but not limited to Experiment, Reliability, Velocity, Latency, Capacity, Content and Ecosystem, Logs Quality and Search Infrastructure. You will focus on understanding and measuring Search systems. You will 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). You will also partner with engineering and product teams in Search Platforms on system-level optimizations, and collaborate closely with Search verticals and horizontal teams, Site Reliability Engineers (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 data sets to solve difficult, non-routine analysis problems using advanced investigative methods. Conduct analysis, from data gathering to presentations. Build and prototype analysis pipelines for scalable insights. Develop an understanding of Google data structures and metrics, advocating for changes to support product development and business. Interact cross-functionally with teams and individuals. Collaborate closely with engineers to identify, design, and assess improvements for Google products. Make business recommendations through effective presentations to stakeholders, leveraging visual displays of quantitative information for cost-benefit, forecasting, and experiment analysis. Research and develop analysis, forecasting, and optimization methods to enhance Google's user-facing products, including areas like ads and search quality, 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 Information Technology and Engineering Industries Information Services and Technology, Information and Internet Referrals increase your chances of interviewing at Google by 2x Sign in to set job alerts for “Data Scientist” roles.
Data Scientist, Analytics - Safety Response
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#J-18808-Ljbffr
Staff Data Scientist, Research, Search Platforms
1 week ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. 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.
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. PhD in a quantitative discipline such as Statistics, Engineering, Physics or Mathematics. Experience articulating business questions and using mathematical techniques to arrive at an answer using available data and translating analysis results into business recommendations. Ability to exhibit leadership and self-direction, along with a proactive willingness to both instruct and learn new techniques.
About the job In this role, you will work on understanding and measuring Search systems, including but not limited to Experiment, Reliability, Velocity, Latency, Capacity, Content and Ecosystem, Logs Quality and Search Infrastructure. You will focus on understanding and measuring Search systems. You will 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). You will also partner with engineering and product teams in Search Platforms on system-level optimizations, and collaborate closely with Search verticals and horizontal teams, Site Reliability Engineers (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 data sets to solve difficult, non-routine analysis problems using advanced investigative methods. Conduct analysis, from data gathering to presentations. Build and prototype analysis pipelines for scalable insights. Develop an understanding of Google data structures and metrics, advocating for changes to support product development and business. Interact cross-functionally with teams and individuals. Collaborate closely with engineers to identify, design, and assess improvements for Google products. Make business recommendations through effective presentations to stakeholders, leveraging visual displays of quantitative information for cost-benefit, forecasting, and experiment analysis. Research and develop analysis, forecasting, and optimization methods to enhance Google's user-facing products, including areas like ads and search quality, 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 Information Technology and Engineering Industries Information Services and Technology, Information and Internet Referrals increase your chances of interviewing at Google by 2x Sign in to set job alerts for “Data Scientist” roles.
Data Scientist, Analytics - Safety Response
Data Scientist Graduate (TikTok-Product-Data Science)-2026 Start (BS/MS)
San Jose, CA $114,000.00-$177,777.00 6 days ago Fremont, CA $145,000.00-$204,000.00 2 days ago San Jose, CA $109,000.00-$192,400.00 1 week ago San Jose, CA $130,000.00-$200,000.00 3 days ago Data Scientist, Energy Analytics, Google Cloud
Sunnyvale, CA $166,000.00-$244,000.00 1 week ago AI/ML Engineer (Multiple roles and seniority levels)
Data Scientist Graduate (TikTok-Search)-2026 Start (MS)
San Jose, CA $114,000.00-$177,777.00 6 days ago San Mateo, CA $120,000.00-$135,000.00 2 weeks ago Data Scientist, Product, Play Data Science and Analytics
Mountain View, CA $183,000.00-$271,000.00 2 weeks ago Mountain View, CA $136,301.00-$172,486.00 6 days ago Data Scientist II – Experimentation & Measurement
San Mateo, CA $153,300.00-$229,900.00 2 weeks ago Mountain View, CA $141,000.00-$202,000.00 2 days ago Senior Data Scientist, ML - Recommendations
Sunnyvale, CA $165,000.00-$180,000.00 3 days ago San Francisco Bay Area $155,000.00-$265,500.00 2 weeks ago Sunnyvale, CA $173,000.00-$242,000.00 1 week ago Sunnyvale, CA $145,000.00-$204,000.00 1 week ago Mountain View, CA $141,000.00-$202,000.00 2 weeks ago San Jose, CA $144,000.00-$329,000.00 5 days ago San Jose, CA $123,500.00-$212,850.00 1 week ago Fremont, CA $145,000.00-$204,000.00 1 week ago Sunnyvale, CA $158,200.00-$185,000.00 3 weeks ago San Jose, CA $137,500.00-$236,500.00 1 week ago Sunnyvale, CA $170,000.00-$277,000.00 1 week ago Data Scientist - Search, Trust & Safety - San Jose
San Jose, CA $144,000.00-$329,333.00 2 weeks ago San Jose, CA $120,700.00-$228,600.00 1 week ago Data Scientist Graduate [TikTok LIVE-Data Science] - 2026 Start (BS/MS)
San Jose, CA $84,445.00-$124,445.00 6 days ago San Jose, CA $120,700.00-$228,600.00 1 week 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