Google Inc.
Data Scientist, gUP Customers and Markets Analytics
Google Inc., Boulder, Colorado, United States, 80301
Data Scientist, gUP Customers and Markets Analytics
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Google
place
Boulder, CO, USA; Atlanta, GA, USAApplyinfo_outlineThe application window will be open until at least October 8, 2024. This opportunity will remain online based on business needs which may be before or after the specified date. Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Boulder, CO, USA; Atlanta, GA, USA .Minimum Qualifications:
Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.Preferred Qualifications:
6 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.About the Job:
The team provides advanced analytics for Customers and Markets to achieve its goals (e.g., AI transformation). We focus on opportunity identification and sizing, experimentation at velocity, and impact analysis to make a transformative impact.In this role, you will work cross-functionally with product, operations, engineering, and marketing stakeholders to facilitate data-informed business decisions, ingenuity, product improvements, and business solutions.In gTech Users and Products (gUP), our mission is to advocate for Google’s users by creating helpful and trusted experiences across the product ecosystem. We achieve this by meeting partners and consumers where they are with support and help, representing their needs with our product partners and proposing fixes and features that elevate their engagement with Google's diverse product ecosystem. Additionally, we provide a range of product services that ensure our products are optimized for every user, no matter where they are in the world (e.g., localization, digitization, partner integration and more).The US base salary range for this full-time position is $150,000-$223,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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:
Work on data modeling, metric development, data prototyping, and insight generation using statistical techniques and machine learning.Work with Engineering, Operations, and Marketing teams to identify areas to focus effort.Solve ambiguous problems and discover insights that drive operational, product, and marketing excellence.Ensure users have excellent product and service experiences.Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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corporate_fare
place
Boulder, CO, USA; Atlanta, GA, USAApplyinfo_outlineThe application window will be open until at least October 8, 2024. This opportunity will remain online based on business needs which may be before or after the specified date. Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Boulder, CO, USA; Atlanta, GA, USA .Minimum Qualifications:
Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.Preferred Qualifications:
6 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.About the Job:
The team provides advanced analytics for Customers and Markets to achieve its goals (e.g., AI transformation). We focus on opportunity identification and sizing, experimentation at velocity, and impact analysis to make a transformative impact.In this role, you will work cross-functionally with product, operations, engineering, and marketing stakeholders to facilitate data-informed business decisions, ingenuity, product improvements, and business solutions.In gTech Users and Products (gUP), our mission is to advocate for Google’s users by creating helpful and trusted experiences across the product ecosystem. We achieve this by meeting partners and consumers where they are with support and help, representing their needs with our product partners and proposing fixes and features that elevate their engagement with Google's diverse product ecosystem. Additionally, we provide a range of product services that ensure our products are optimized for every user, no matter where they are in the world (e.g., localization, digitization, partner integration and more).The US base salary range for this full-time position is $150,000-$223,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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:
Work on data modeling, metric development, data prototyping, and insight generation using statistical techniques and machine learning.Work with Engineering, Operations, and Marketing teams to identify areas to focus effort.Solve ambiguous problems and discover insights that drive operational, product, and marketing excellence.Ensure users have excellent product and service experiences.Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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