Google
Data Scientist Manager II, Research, YouTube
Google - San Bruno, California, United States, 94066
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Overview
Data Scientist Manager II, Research, YouTube Join to apply for the
Data Scientist Manager II, Research, YouTube
role at
Google Data Scientist Manager II, Research, YouTube Join to apply for the
Data Scientist Manager II, Research, YouTube
role at
Google 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 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.
Not sure what skills you will need for this opportunity Simply read the full description below to get a complete picture of candidate requirements.
Minimum qualifications:
Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 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. 3 years of experience as a people manager within a technical leadership role.
About The Job
At Google, data scientists not only revolutionize search, they routinely work on scalability and storage solutions, applications and new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the technological achievements.
YouTube Data Science (YTDS) is an analyst team that is part of the YouTube engineering organization, and works with engineering, product and executive leadership towards making better data-driven decisions to improve YouTube. Through work on YouTube’s new and emerging consumer experiences, the team empowers viewers and creators to engage more with one another, building and fostering communities.
As a Data Scientist, you will evaluate and improve Google's products. You will collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems.
At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.
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
Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models. Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent. Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure. Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Separately format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
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 levelNot Applicable Employment type
Employment typeFull-time Job function
Job functionInformation Technology and Engineering IndustriesInformation Services and Technology, Information and Internet Referrals increase your chances of interviewing at Google by 2x Sign in to set job alerts for “Data Science Manager” roles. Palo Alto, CA $204,000.00-$286,000.00 3 weeks ago Menlo Park, CA $253,000.00-$314,000.00 2 weeks ago Machine Learning Manager - Applied ML (San Francisco) San Francisco, CA $253,000.00-$314,000.00 2 weeks ago Oakland, CA $193,000.00-$329,000.00 1 month ago San Francisco, CA $241,000.00-$268,000.00 1 month ago Tech Lead Manager, Machine Learning - Perception San Francisco, CA $230,000.00-$280,000.00 5 months ago Director, Data Science and Machine Learning San Francisco County, CA $240,000.00-$275,000.00 1 month ago San Francisco, CA $358,000.00-$478,000.00 3 days ago VP, Head of Data Sciences & Advanced AnalyticsEngineering Manager, Machine Learning – Economy ML San Mateo, CA $289,460.00-$338,270.00 6 days ago Sr. Engineering Manager, Machine Learning South San Francisco, CA $230,000.00-$310,000.00 2 weeks ago Director, Data Science/AI Product Owner (Gen AI/ Agentic AI)Director, Data Science/AI Product Owner (Predictive AI/ Agentic AI)Engineering Manager, Machine Learning Platform San Francisco, CA $176,490.00-$245,100.00 2 weeks ago Mountain View, CA $225,000.00-$275,000.00 6 days ago Manager, Machine Learning Engineering, Content RankingDirector of Data Science - Recommendations and E-Commerce San Francisco, CA $201,700.00-$267,300.00 2 months ago Director, Data Science / AI Product Owner (Analytical Workbench) San Francisco, CA $225,000.00-$325,000.00 2 months ago San Francisco, CA $146,000.00-$237,000.00 5 days ago Manager II, Machine Learning Engineering, Core EngineeringDirector, Scientific Content Engineering/Data Science, QDI We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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Data Scientist Manager II, Research, YouTube
role at
Google Data Scientist Manager II, Research, YouTube Join to apply for the
Data Scientist Manager II, Research, YouTube
role at
Google 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 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.
Not sure what skills you will need for this opportunity Simply read the full description below to get a complete picture of candidate requirements.
Minimum qualifications:
Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 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. 3 years of experience as a people manager within a technical leadership role.
About The Job
At Google, data scientists not only revolutionize search, they routinely work on scalability and storage solutions, applications and new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the technological achievements.
YouTube Data Science (YTDS) is an analyst team that is part of the YouTube engineering organization, and works with engineering, product and executive leadership towards making better data-driven decisions to improve YouTube. Through work on YouTube’s new and emerging consumer experiences, the team empowers viewers and creators to engage more with one another, building and fostering communities.
As a Data Scientist, you will evaluate and improve Google's products. You will collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems.
At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.
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
Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models. Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent. Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure. Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Separately format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
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 levelNot Applicable Employment type
Employment typeFull-time Job function
Job functionInformation Technology and Engineering IndustriesInformation Services and Technology, Information and Internet Referrals increase your chances of interviewing at Google by 2x Sign in to set job alerts for “Data Science Manager” roles. Palo Alto, CA $204,000.00-$286,000.00 3 weeks ago Menlo Park, CA $253,000.00-$314,000.00 2 weeks ago Machine Learning Manager - Applied ML (San Francisco) San Francisco, CA $253,000.00-$314,000.00 2 weeks ago Oakland, CA $193,000.00-$329,000.00 1 month ago San Francisco, CA $241,000.00-$268,000.00 1 month ago Tech Lead Manager, Machine Learning - Perception San Francisco, CA $230,000.00-$280,000.00 5 months ago Director, Data Science and Machine Learning San Francisco County, CA $240,000.00-$275,000.00 1 month ago San Francisco, CA $358,000.00-$478,000.00 3 days ago VP, Head of Data Sciences & Advanced AnalyticsEngineering Manager, Machine Learning – Economy ML San Mateo, CA $289,460.00-$338,270.00 6 days ago Sr. Engineering Manager, Machine Learning South San Francisco, CA $230,000.00-$310,000.00 2 weeks ago Director, Data Science/AI Product Owner (Gen AI/ Agentic AI)Director, Data Science/AI Product Owner (Predictive AI/ Agentic AI)Engineering Manager, Machine Learning Platform San Francisco, CA $176,490.00-$245,100.00 2 weeks ago Mountain View, CA $225,000.00-$275,000.00 6 days ago Manager, Machine Learning Engineering, Content RankingDirector of Data Science - Recommendations and E-Commerce San Francisco, CA $201,700.00-$267,300.00 2 months ago Director, Data Science / AI Product Owner (Analytical Workbench) San Francisco, CA $225,000.00-$325,000.00 2 months ago San Francisco, CA $146,000.00-$237,000.00 5 days ago Manager II, Machine Learning Engineering, Core EngineeringDirector, Scientific Content Engineering/Data Science, QDI 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