Google
Overview
Staff Data Scientist, Product, Workspace – Google Join to apply for the Staff Data Scientist, Product, Workspace role at Google. The application window is open for a period with location options available. Minimum qualifications are listed below; preferred qualifications are also provided. Responsibilities
Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Provide leadership through proactive contributions (e.g., suggests new analyses, infrastructure or experiments to drive improvements in the business). Own outcomes for projects by covering problem definition, metrics development, data extraction and manipulation, visualization, creation and implementation of investigative/statistical models, and presentation to stakeholders. Develop solutions, lead, and manage problems that may be ambiguous and lacking clear precedent by framing problems, generating hypotheses, and making recommendations from a perspective that combines both problem-solving and product-specific expertise. Oversee the integration of cross-functional and cross-organizational project/process timelines, develop process improvements and recommendations, and help define operational goals and objectives. Oversee the contributions of others and develop colleagues’ capabilities in the area of specialization. Qualifications
Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience. 7 years of experience with statistical data analysis. 6 years of experience conducting A/B tests to drive improvement of product metrics. 5 years of experience with data mining, querying, and managing investigative projects. 3 years of experience developing and managing metrics or evaluating programs/products. Preferred qualifications
Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 12 years of experience solving 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. You will weave stories with meaningful insight from data and make critical recommendations for your fellow Googlers in Engineering and Product Management. Workspace is a cloud-based productivity suite that includes Gmail, Calendar, Meet, Documents, Sheets, Slides, Drive and more. It serves over three billion active users globally and shapes people’s experiences at home, school and work. This is an exciting time to join an innovative team and help define the future of hybrid work. Google emphasizes engineering excellence and developers’ impact, from scalability and storage to large-scale applications. Roles span across Ads, Chrome, Android, YouTube, and more, with a focus on using technology to improve users’ experiences. The US base salary range for this full-time position is $183,000-$271,000 + bonus + equity + benefits. Salary ranges are determined by role, level, and location. Individual pay is influenced by work location and other factors including skills, experience, and education. Recruiters can share more specifics during the hiring process. Compensation details listed reflect base salary only and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities (additional)
Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Provide leadership through proactive contributions (e.g., suggests new analyses, infrastructure or experiments to drive improvements in the business). Own outcomes for projects by covering problem definition, metrics development, data extraction and manipulation, visualization, creation, and implementation of investigative/statistical models, and presentation to stakeholders. Develop solutions, lead, and manage problems that may be ambiguous and lacking clear precedent by framing problems, generating hypotheses, and making recommendations from a perspective that combines both, problem-solving and product-specific expertise. Oversee the integration of cross-functional and cross-organizational project/process timelines, develop process improvements and recommendations, and help define operational goals and objectives. Oversee the contributions of others and develop colleagues’ capabilities in the area of specialization. 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
Not Applicable Employment type
Full-time Job function
Information Technology and Engineering Industries: Information Services and Technology, Information and Internet Referrals increase your chances of interviewing at Google by 2x Notes: This refined description preserves the core job information, omitting extraneous postings and non-essential boilerplate while ensuring proper formatting with allowed tags. The content remains focused on the role, responsibilities, qualifications, and legal notices.
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Staff Data Scientist, Product, Workspace – Google Join to apply for the Staff Data Scientist, Product, Workspace role at Google. The application window is open for a period with location options available. Minimum qualifications are listed below; preferred qualifications are also provided. Responsibilities
Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Provide leadership through proactive contributions (e.g., suggests new analyses, infrastructure or experiments to drive improvements in the business). Own outcomes for projects by covering problem definition, metrics development, data extraction and manipulation, visualization, creation and implementation of investigative/statistical models, and presentation to stakeholders. Develop solutions, lead, and manage problems that may be ambiguous and lacking clear precedent by framing problems, generating hypotheses, and making recommendations from a perspective that combines both problem-solving and product-specific expertise. Oversee the integration of cross-functional and cross-organizational project/process timelines, develop process improvements and recommendations, and help define operational goals and objectives. Oversee the contributions of others and develop colleagues’ capabilities in the area of specialization. Qualifications
Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience. 7 years of experience with statistical data analysis. 6 years of experience conducting A/B tests to drive improvement of product metrics. 5 years of experience with data mining, querying, and managing investigative projects. 3 years of experience developing and managing metrics or evaluating programs/products. Preferred qualifications
Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 12 years of experience solving 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. You will weave stories with meaningful insight from data and make critical recommendations for your fellow Googlers in Engineering and Product Management. Workspace is a cloud-based productivity suite that includes Gmail, Calendar, Meet, Documents, Sheets, Slides, Drive and more. It serves over three billion active users globally and shapes people’s experiences at home, school and work. This is an exciting time to join an innovative team and help define the future of hybrid work. Google emphasizes engineering excellence and developers’ impact, from scalability and storage to large-scale applications. Roles span across Ads, Chrome, Android, YouTube, and more, with a focus on using technology to improve users’ experiences. The US base salary range for this full-time position is $183,000-$271,000 + bonus + equity + benefits. Salary ranges are determined by role, level, and location. Individual pay is influenced by work location and other factors including skills, experience, and education. Recruiters can share more specifics during the hiring process. Compensation details listed reflect base salary only and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities (additional)
Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Provide leadership through proactive contributions (e.g., suggests new analyses, infrastructure or experiments to drive improvements in the business). Own outcomes for projects by covering problem definition, metrics development, data extraction and manipulation, visualization, creation, and implementation of investigative/statistical models, and presentation to stakeholders. Develop solutions, lead, and manage problems that may be ambiguous and lacking clear precedent by framing problems, generating hypotheses, and making recommendations from a perspective that combines both, problem-solving and product-specific expertise. Oversee the integration of cross-functional and cross-organizational project/process timelines, develop process improvements and recommendations, and help define operational goals and objectives. Oversee the contributions of others and develop colleagues’ capabilities in the area of specialization. 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
Not Applicable Employment type
Full-time Job function
Information Technology and Engineering Industries: Information Services and Technology, Information and Internet Referrals increase your chances of interviewing at Google by 2x Notes: This refined description preserves the core job information, omitting extraneous postings and non-essential boilerplate while ensuring proper formatting with allowed tags. The content remains focused on the role, responsibilities, qualifications, and legal notices.
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