Google
Data Scientist III, Product, Applied AI, Developer Productivity
Google, Mountain View, California, us, 94039
Join to apply for the
Data Scientist III, Product, Applied AI, Developer Productivity
role at
Google Join to apply for the
Data Scientist III, Product, Applied AI, Developer Productivity
role at
Google Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) or 2 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. 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) or 2 years work experience with a Master's degree.
Preferred qualifications:
Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL).
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.
The Android Data Science team drives the data science initiatives (metrics, experiments, analyses, modeling, etc) for the entire Android organization. Our primary goal is to enable teams across Android to make better product decisions using data. The Platform and Devices Engineering, Infrastructure and Operations team (PDEIO) works to increase the productivity of all engineers in the ecosystem, starting right here at Google. The team enables everyone to ship high-quality code quickly. The goal is to take the world's largest operating system to new heights of efficiency, velocity and effectiveness.
Android is Google’s open-source mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world.
The US base salary range for this full-time position is $132,000-$189,000 + 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
Provide data science guidance, enabling data-motivated decisions that accelerate development and improve efficiency. Influence the team roadmap, advocating the development of the right tools and processes that empower engineers to build better products faster, and partner within Platform and Devices, Core Developer, and many other organizations to accelerate and simplify the developer workflows for Android and Chrome engineers. Work with the core infrastructure team to optimize the continuous integration (CI) pipelines in the era of autonomous development agents. Work with teams to develop and use foundational machine learning/artificial intelligence (ML/AI) models that seamlessly integrate with products and services solving business problems using ML and large-language models (LLM) solutions. Utilize AI/ML models and tools to optimize the use of compute resources used to build and test software in continuous integration pipelines.
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 Get notified about new Data Scientist jobs in
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Data Scientist III, Product, Applied AI, Developer Productivity
role at
Google Join to apply for the
Data Scientist III, Product, Applied AI, Developer Productivity
role at
Google Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) or 2 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. 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) or 2 years work experience with a Master's degree.
Preferred qualifications:
Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL).
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.
The Android Data Science team drives the data science initiatives (metrics, experiments, analyses, modeling, etc) for the entire Android organization. Our primary goal is to enable teams across Android to make better product decisions using data. The Platform and Devices Engineering, Infrastructure and Operations team (PDEIO) works to increase the productivity of all engineers in the ecosystem, starting right here at Google. The team enables everyone to ship high-quality code quickly. The goal is to take the world's largest operating system to new heights of efficiency, velocity and effectiveness.
Android is Google’s open-source mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world.
The US base salary range for this full-time position is $132,000-$189,000 + 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
Provide data science guidance, enabling data-motivated decisions that accelerate development and improve efficiency. Influence the team roadmap, advocating the development of the right tools and processes that empower engineers to build better products faster, and partner within Platform and Devices, Core Developer, and many other organizations to accelerate and simplify the developer workflows for Android and Chrome engineers. Work with the core infrastructure team to optimize the continuous integration (CI) pipelines in the era of autonomous development agents. Work with teams to develop and use foundational machine learning/artificial intelligence (ML/AI) models that seamlessly integrate with products and services solving business problems using ML and large-language models (LLM) solutions. Utilize AI/ML models and tools to optimize the use of compute resources used to build and test software in continuous integration pipelines.
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 Get notified about new Data Scientist jobs in
Mountain View, CA . 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 3 days ago Data Scientist, Energy Analytics, Google Cloud
Sunnyvale, CA $166,000.00-$244,000.00 3 days ago San Jose, CA $109,000.00-$192,400.00 1 week ago San Jose, CA $130,000.00-$200,000.00 13 hours ago Fremont, CA $145,000.00-$204,000.00 3 weeks ago Data Scientist Graduate (TikTok-Search)-2026 Start (MS)
San Jose, CA $114,000.00-$177,777.00 3 days ago San Mateo, CA $120,000.00-$135,000.00 2 weeks ago Mountain View, CA $136,301.00-$172,486.00 3 days ago Data Scientist, Product, Play Data Science and Analytics
Mountain View, CA $183,000.00-$271,000.00 2 weeks ago Data Scientist II – Experimentation & Measurement
San Mateo, CA $153,300.00-$229,900.00 2 weeks ago Sunnyvale, CA $173,000.00-$242,000.00 1 week ago Software Development Engineer In Test (SDET)
San Jose, CA $87,600.00-$186,000.00 20 hours ago San Jose, CA $144,000.00-$329,000.00 2 days ago San Jose, CA $123,500.00-$212,850.00 1 week ago Sunnyvale, CA $145,000.00-$204,000.00 6 days ago San Jose, CA $137,500.00-$236,500.00 1 week ago Mountain View, CA $141,000.00-$202,000.00 2 weeks ago Fremont, CA $145,000.00-$204,000.00 6 days 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 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 3 days ago Foster City, CA $178,000.00-$294,000.00 3 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