Google
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Senior Data Scientist, Product
role at
Google . The position is open full‑time for the San Francisco Bay Area. If you have a criminal record, the San Francisco Fair Chance Ordinance and the California Fair Chance Act will be considered when determining your employment eligibility.
When applying, you may indicate your preferred working location from the following options:
Mountain View, CA, USA ;
New York, NY, USA ; or
San Francisco, CA, USA .
Minimum qualifications
Bachelor’s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
Eight years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). If you hold a master’s degree, five years of experience is sufficient.
Preferred qualifications
Master’s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
About the job Data Scientists provide quantitative support, market understanding and a strategic perspective to Google’s partners throughout the organization. As a member of the ML, Systems & Cloud AI (MSCA) team, you design, implement, and manage machine‑learning and infrastructure solutions that serve billions of users worldwide. You will collaborate closely with Engineering and Product Management, delivering insights through analytics, storytelling, and data‑driven recommendations.
Responsibilities
Perform analysis using SQL, R, and Python to solve open‑ended product and business problems.
Build new processes, procedures, and components that anticipate future challenges.
Report on key performance indicators (KPIs) to support business reviews and translate results into actionable product improvements.
Prototype and iterate analysis and business cases at scale, maintaining deep knowledge of Google’s data structures and metrics.
Influence cross‑functional teams to align resources and establish direction.
Benefits and Compensation The US base salary range for this full‑time position is $156,000–$229,000, plus bonus, equity and benefits.
Base salary only
is displayed; additional compensation is not included in the posted range.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Product Management and Engineering
Industries Information Services and Technology, Information and Internet
Google is an equal‑opportunity employer and is committed to protecting the civil and legal rights of all applicants and employees. We consider qualified applicants irrespective of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or criminal history, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing the Accommodations for Applicants form.
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Senior Data Scientist, Product
role at
Google . The position is open full‑time for the San Francisco Bay Area. If you have a criminal record, the San Francisco Fair Chance Ordinance and the California Fair Chance Act will be considered when determining your employment eligibility.
When applying, you may indicate your preferred working location from the following options:
Mountain View, CA, USA ;
New York, NY, USA ; or
San Francisco, CA, USA .
Minimum qualifications
Bachelor’s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
Eight years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). If you hold a master’s degree, five years of experience is sufficient.
Preferred qualifications
Master’s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
About the job Data Scientists provide quantitative support, market understanding and a strategic perspective to Google’s partners throughout the organization. As a member of the ML, Systems & Cloud AI (MSCA) team, you design, implement, and manage machine‑learning and infrastructure solutions that serve billions of users worldwide. You will collaborate closely with Engineering and Product Management, delivering insights through analytics, storytelling, and data‑driven recommendations.
Responsibilities
Perform analysis using SQL, R, and Python to solve open‑ended product and business problems.
Build new processes, procedures, and components that anticipate future challenges.
Report on key performance indicators (KPIs) to support business reviews and translate results into actionable product improvements.
Prototype and iterate analysis and business cases at scale, maintaining deep knowledge of Google’s data structures and metrics.
Influence cross‑functional teams to align resources and establish direction.
Benefits and Compensation The US base salary range for this full‑time position is $156,000–$229,000, plus bonus, equity and benefits.
Base salary only
is displayed; additional compensation is not included in the posted range.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Product Management and Engineering
Industries Information Services and Technology, Information and Internet
Google is an equal‑opportunity employer and is committed to protecting the civil and legal rights of all applicants and employees. We consider qualified applicants irrespective of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or criminal history, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing the Accommodations for Applicants form.
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