Google
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Senior Data Scientist, Product
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Google 2 days ago Be among the first 25 applicants Join to apply for the
Senior Data Scientist, Product
role at
Google Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Kirkland, WA, USA; New York, NY, USA; Sunnyvale, CA, USA . 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 plus a Master's degree).
Preferred qualifications:
Master'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).
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 ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
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
Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Help solve problems, narrowing down multiple options into the best approach, and take ownership of open-ended ambiguous business problems to reach an optimal solution. Build new processes, procedures, methods, tests, and components with foresight to anticipate and address future issues. Report on Key Performance Indicators (KPIs) to support business reviews with the cross-functional/organizational leadership team. Translate analysis results to business insights or product improvement opportunities. Build and prototype analysis and business cases iteratively to provide insights at scale. Develop comprehensive knowledge of Google data structures and metrics, advocating for changes where needed for product development. Influence across teams to align resources and direction.
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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Senior Data Scientist, Product
role at
Google 2 days ago Be among the first 25 applicants Join to apply for the
Senior Data Scientist, Product
role at
Google Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Kirkland, WA, USA; New York, NY, USA; Sunnyvale, CA, USA . 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 plus a Master's degree).
Preferred qualifications:
Master'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).
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 ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
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
Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Help solve problems, narrowing down multiple options into the best approach, and take ownership of open-ended ambiguous business problems to reach an optimal solution. Build new processes, procedures, methods, tests, and components with foresight to anticipate and address future issues. Report on Key Performance Indicators (KPIs) to support business reviews with the cross-functional/organizational leadership team. Translate analysis results to business insights or product improvement opportunities. Build and prototype analysis and business cases iteratively to provide insights at scale. Develop comprehensive knowledge of Google data structures and metrics, advocating for changes where needed for product development. Influence across teams to align resources and direction.
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
Sunnyvale, CA . Mountain View, CA $110,000.00-$160,000.00 4 weeks ago 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 5 days ago Menlo Park, CA $206,000.00-$281,000.00 2 weeks ago Data Science Manager, Demand Planning and Forecasting
San Francisco Bay Area $225,000.00-$275,000.00 2 weeks ago Santa Clara, CA $197,000.00-$300,080.00 20 hours ago San Francisco Bay Area $250,000.00-$275,000.00 3 weeks ago San Francisco Bay Area $250,000.00-$275,000.00 2 weeks ago San Francisco Bay Area $240,000.00-$280,000.00 2 weeks ago Senior Director, Commercial Data Science
Palo Alto, CA $154,000.00-$237,150.00 2 weeks ago Senior Data Scientist, Marketing Inference
San Jose, CA $375,666.00-$450,799.00 1 week ago Director, Data Science - Agent-Led Engagement in Conversational Commerce
Sunnyvale, CA $169,000.00-$338,000.00 4 days ago Director, Scientific Content Engineering/Data Science, QDI
Senior Manager, Infrastructure Data Science
Director of Data Science - Recommendations and E-Commerce
Pleasanton, CA $201,700.00-$267,300.00 2 months ago Director, Data Science – Quality & LLM Judging Systems for Conversational Commerce
Sunnyvale, CA $169,000.00-$338,000.00 4 days 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
San Jose, CA $89,300.00-$146,900.00 2 weeks ago Director of Finance and Administration, Biomedical Data Science
Stanford, CA $205,050.00-$283,688.00 2 weeks ago Director of Finance and Administration, Biomedical Data Science
Stanford, CA $205,050.00-$283,688.00 9 months ago Senior Data Management Analyst (Short Term Employee)
Data Scientist, Analytics - Safety Response
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