Google
Research Data Scientist, Ads Safety and Spam
Join to apply for the
Research Data Scientist, Ads Safety and Spam
role at
Google Research Data Scientist, Ads Safety and Spam
Join to apply for the
Research Data Scientist, Ads Safety and Spam
role at
Google Get AI-powered advice on this job and more exclusive features. Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Mountain View, CA, USA; Los Angeles, CA, USA . Minimum qualifications:
Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis or a PhD degree.
Preferred qualifications:
5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis or a PhD degree. 4 years of experience in data analysis, including statistical data analysis such as linear models, multivariate analysis, stochastic models and sampling methods. Experience with large datasets and big data technologies (e.g., BigQuery, Hadoop, Spark). Experience in fraud detection, spam mitigation, or anomaly detection within the online advertising ecosystem.
About The Job
As a Data Scientist on the Ads Privacy and Safety (APaS) Data Science team, you will leverage your expertise to provide critical data insights that directly inform important decisions and product enhancements. Your work will be crucial in protecting users and advertisers from fraud, invalid activity and ensuring a fairly compensated, clean and trustworthy ad platform. You will work on important problems across Ads Spam and Ads Safety to build trust in the digital ads ecosystem and support the healthy growth of Google’s ads business. Ads Privacy and Safety is dedicated to fostering trust and transparency within the Google Ads ecosystem. The Analytics and Insights team plays a crucial role in safeguarding the integrity of Google's advertising platform. By focusing on data-driven objectivity, accountability, and user-centricity, this team develops unbiased frameworks to measure business health and deliver impact assessments across key areas like risk, business, and user trust. They prevent threats by enabling precise measurement and ensuring the focus remains on the right problems through close partnerships across APaS and the team provides continuous measurement and influences important decisions with objective insights.
The US base salary range for this full-time position is $141,000-$202,000 + 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
Support the improvement and optimization of automated machine learning systems for invalid traffic detection, fraudsters or abuse. Contribute to advanced research to uncover new sources of fraud and develop innovative prevention solutions. Convey data analysis findings to both technical and non-technical audiences. Work effectively with various teams of data scientists, engineers, and researchers.
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 Sign in to set job alerts for “Data Scientist” roles.
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#J-18808-Ljbffr
Join to apply for the
Research Data Scientist, Ads Safety and Spam
role at
Google Research Data Scientist, Ads Safety and Spam
Join to apply for the
Research Data Scientist, Ads Safety and Spam
role at
Google Get AI-powered advice on this job and more exclusive features. Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Mountain View, CA, USA; Los Angeles, CA, USA . Minimum qualifications:
Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis or a PhD degree.
Preferred qualifications:
5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis or a PhD degree. 4 years of experience in data analysis, including statistical data analysis such as linear models, multivariate analysis, stochastic models and sampling methods. Experience with large datasets and big data technologies (e.g., BigQuery, Hadoop, Spark). Experience in fraud detection, spam mitigation, or anomaly detection within the online advertising ecosystem.
About The Job
As a Data Scientist on the Ads Privacy and Safety (APaS) Data Science team, you will leverage your expertise to provide critical data insights that directly inform important decisions and product enhancements. Your work will be crucial in protecting users and advertisers from fraud, invalid activity and ensuring a fairly compensated, clean and trustworthy ad platform. You will work on important problems across Ads Spam and Ads Safety to build trust in the digital ads ecosystem and support the healthy growth of Google’s ads business. Ads Privacy and Safety is dedicated to fostering trust and transparency within the Google Ads ecosystem. The Analytics and Insights team plays a crucial role in safeguarding the integrity of Google's advertising platform. By focusing on data-driven objectivity, accountability, and user-centricity, this team develops unbiased frameworks to measure business health and deliver impact assessments across key areas like risk, business, and user trust. They prevent threats by enabling precise measurement and ensuring the focus remains on the right problems through close partnerships across APaS and the team provides continuous measurement and influences important decisions with objective insights.
The US base salary range for this full-time position is $141,000-$202,000 + 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
Support the improvement and optimization of automated machine learning systems for invalid traffic detection, fraudsters or abuse. Contribute to advanced research to uncover new sources of fraud and develop innovative prevention solutions. Convey data analysis findings to both technical and non-technical audiences. Work effectively with various teams of data scientists, engineers, and researchers.
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 Sign in to set job alerts for “Data Scientist” roles.
Data Scientist, Analytics - Safety Response
Data Science Graduate (TikTok-Product-Data Science) - 2025 Start (MS)
San Jose, CA $114,000.00-$177,777.00 6 days ago San Jose, CA $123,500.00-$212,850.00 2 months ago Mountain View, CA $110,000.00-$160,000.00 2 months ago San Jose, CA $109,000.00-$192,400.00 5 days ago AI/ML Engineer (Multiple roles and seniority levels)
Machine Learning Engineer (I, II, or Sr.)
Menlo Park, CA $145,000.00-$204,000.00 2 weeks ago San Mateo, CA $120,000.00-$135,000.00 1 week ago Fremont, CA $145,000.00-$204,000.00 2 weeks ago Data Scientist, Product, Play Data Science and Analytics
Mountain View, CA $183,000.00-$271,000.00 1 week ago San Jose, CA $123,500.00-$212,850.00 5 days ago San Bruno, CA $119,000.00-$169,000.00 2 months ago Foster City, CA $180,000.00-$200,000.00 2 weeks ago Mountain View, CA $136,301.00-$172,486.00 3 weeks ago San Jose, CA $123,500.00-$212,850.00 2 months ago San Bruno, CA $117,000.00-$234,000.00 2 weeks ago San Jose, CA $137,500.00-$236,500.00 3 days ago Sunnyvale, CA $158,200.00-$185,000.00 2 weeks ago San Jose, CA $144,000.00-$329,000.00 4 weeks ago San Jose, CA $123,500.00-$212,850.00 2 months ago Mountain View, CA $141,000.00-$202,000.00 1 week ago Sunnyvale, CA $173,000.00-$242,000.00 3 days ago Sunnyvale, CA $145,000.00-$204,000.00 2 days ago Menlo Park, CA $180,000.00-$200,000.00 1 month ago San Jose, CA $120,700.00-$228,600.00 3 days ago Sunnyvale, CA $170,000.00-$277,000.00 6 days ago San Jose, CA $144,000.00-$240,000.00 2 weeks 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