Google
Senior Data Scientist, Product, App Safety Engineering
Google, Mountain View, California, us, 94039
Senior Data Scientist, Product, App Safety Engineering
Join to apply for the
Senior Data Scientist, Product, App Safety Engineering
role at
Google Senior Data Scientist, Product, App Safety Engineering
Join to apply for the
Senior Data Scientist, Product, App Safety Engineering
role at
Google Get AI-powered advice on this job and more exclusive features. Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years work experience with a Master's degree.
Minimum qualifications:
Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years work experience with a Master's degree.
Preferred qualifications:
Master's degree or PhD in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). Experience leveraging large-scale data to design and implement solutions that improve abuse detection, review and enforcement effectiveness across policies. Experience translating complex abuse data into actionable insights, driving automation and system improvements through insights, data modeling, experimentation.
About The Job
Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.
As a Data Scientist on the App safety Engineering team, you will work with multiple stakeholders across product, engineering and operation teams to define metrics and deliver actionable insights to drive App safety Engineering team, key decisions. Analysis will span ecosystem impact and model efficacy. You will be responsible for translating data into meaningful recommendations and, where relevant, implementing process improvements. You will work collaboratively across functions including Product Management, Engineering, Operations and Program Management. To succeed in this role, the Product Analyst should be someone who is highly quantitative, experienced in facilitating decisions through data, and capable of prioritizing requests from multiple stakeholders to have the most impact.
The US base salary range for this full-time position is $156,000-$229,000 + 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 internal datasets to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations. Develop, own, and evolve investigative frameworks providing a source of truth measures for the organization. Conduct analyses that reveal opportunities and risks, enabling the team to understand trends and prioritize resources. Act as a thought partner for technical stakeholders in Product Management (PM), Engineering (Eng), and Operations (Ops) teams to define performance goals, Key Performance Indicators (KPIs), and other success measurements, and make recommendations based on data and business context.
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 Mid-Senior level 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 Get notified about new Senior Data Scientist jobs in
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Join to apply for the
Senior Data Scientist, Product, App Safety Engineering
role at
Google Senior Data Scientist, Product, App Safety Engineering
Join to apply for the
Senior Data Scientist, Product, App Safety Engineering
role at
Google Get AI-powered advice on this job and more exclusive features. Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years work experience with a Master's degree.
Minimum qualifications:
Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years work experience with a Master's degree.
Preferred qualifications:
Master's degree or PhD in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). Experience leveraging large-scale data to design and implement solutions that improve abuse detection, review and enforcement effectiveness across policies. Experience translating complex abuse data into actionable insights, driving automation and system improvements through insights, data modeling, experimentation.
About The Job
Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.
As a Data Scientist on the App safety Engineering team, you will work with multiple stakeholders across product, engineering and operation teams to define metrics and deliver actionable insights to drive App safety Engineering team, key decisions. Analysis will span ecosystem impact and model efficacy. You will be responsible for translating data into meaningful recommendations and, where relevant, implementing process improvements. You will work collaboratively across functions including Product Management, Engineering, Operations and Program Management. To succeed in this role, the Product Analyst should be someone who is highly quantitative, experienced in facilitating decisions through data, and capable of prioritizing requests from multiple stakeholders to have the most impact.
The US base salary range for this full-time position is $156,000-$229,000 + 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 internal datasets to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations. Develop, own, and evolve investigative frameworks providing a source of truth measures for the organization. Conduct analyses that reveal opportunities and risks, enabling the team to understand trends and prioritize resources. Act as a thought partner for technical stakeholders in Product Management (PM), Engineering (Eng), and Operations (Ops) teams to define performance goals, Key Performance Indicators (KPIs), and other success measurements, and make recommendations based on data and business context.
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 Mid-Senior level 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 Get notified about new Senior Data Scientist jobs in
Mountain View, CA . San Jose, CA $123,500.00-$212,850.00 1 week ago Data Science Manager, Subscription Revenue
Sunnyvale, CA $169,000.00-$338,000.00 21 hours ago Data Science Manager, Demand Planning and Forecasting
San Francisco Bay Area $225,000.00-$275,000.00 2 weeks ago San Francisco Bay Area $250,000.00-$275,000.00 2 weeks ago San Jose, CA $152,500.00-$262,350.00 1 month ago Senior Director, Commercial Data Science
Palo Alto, CA $154,000.00-$237,150.00 2 weeks ago San Jose, CA $375,666.00-$450,799.00 1 week ago Palo Alto, CA $170,000.00-$190,000.00 23 hours ago Director, Scientific Content Engineering/Data Science, QDI
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Director of Data Science - Recommendations and E-Commerce
Pleasanton, CA $201,700.00-$267,300.00 2 months ago Research Scientist Graduate, Quantum Chemistry and Machine Learning - 2026 Start (PhD)
San Jose, CA $136,800.00-$259,200.00 2 weeks ago San Francisco Bay Area $128,000.00-$178,000.00 3 weeks ago Senior Data Analyst – Operations & Supply Chain
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Stanford, CA $205,050.00-$283,688.00 1 week ago Director of Finance and Administration, Biomedical Data Science
Stanford, CA $205,050.00-$283,688.00 8 months ago Data Scientist II – Experimentation & Measurement
San Mateo, CA $153,300.00-$229,900.00 1 week ago San Bruno, CA $117,000.00-$234,000.00 2 weeks ago Data Scientist, Analytics - Safety Response
Sunnyvale, CA $140,000.00-$156,000.00 2 hours ago Menlo Park, CA $145,000.00-$204,000.00 2 weeks ago Senior Staff Data Scientist, Trust and Anti-Abuse
Mountain View, CA $168,000.00-$276,000.00 1 day 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