Google
Data Scientist III, Research, Brand Advertising, YouTube Ads
Google, Mountain View, California, us, 94039
Data Scientist III, Research, Brand Advertising, YouTube Ads
Join to apply for the Data Scientist III, Research, Brand Advertising, YouTube Ads role at Google. Overview
As a Data Scientist in the brand ads quality team, you will leverage a quantitative repertoire spanning operations research, game theory, statistics, and machine learning to build optimization solutions that help advertisers allocate more budget to YouTube, where user engagement is strongest. You will be involved in activities such as relevance targeting, creative recommendation, bidding optimization, and impact measurement. You will own projects from solution design to production launch and collaborate with Software Engineers and Project Managers. Responsibilities
Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Translate and refine questions into tractable analyses, evaluation metrics, or mathematical models. Design and evaluate models to express and solve defined problems with limited precedent, using custom data infrastructure or existing data models as appropriate. Gather information, goals, priorities, and context around questions, as well as the existing and upcoming data infrastructure. Own data gathering, extraction, and compilation across sources using relevant tools (e.g., SQL, R, Python). Re-format, restructure, or validate data to ensure quality and readiness for analysis. Qualifications
Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or performing statistical analysis, or a PhD degree. 3 years of work experience with Online Marketplace Design, Adtech, and Causal Inference. Preferred qualifications: Master's or PhD degree in a quantitative field such as Engineering, Computer Science, Mathematics, Statistics, Economics, or Business Science. 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or performing statistical analysis, or a PhD degree. Compensation and Benefits
The US base salary range for this full-time position is $141,000-$202,000 plus bonus, equity, and benefits. Salary ranges are determined by role, level, and location. Your recruiter can share the specific salary range for your location during the hiring process. Compensation details in US role postings reflect base salary only and do not include bonus, equity, or benefits. Learn more about benefits at Google. About the Job
In this role you will work on industry-leading optimization solutions to help advertisers optimize YouTube ad spend, measure impact, and improve return on investment. You will partner with Software Engineers and Project Managers and contribute from solution design to data-driven analyses and production launch. EEO and Accommodations
Google is proud to be an equal opportunity workplace and 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 Google’s EEO Policy and EEO is the Law. If you require an accommodation, please let us know by completing the Accommodations for Applicants form. Additional Information
Please note that the compensation details listed reflect base salary only.
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Join to apply for the Data Scientist III, Research, Brand Advertising, YouTube Ads role at Google. Overview
As a Data Scientist in the brand ads quality team, you will leverage a quantitative repertoire spanning operations research, game theory, statistics, and machine learning to build optimization solutions that help advertisers allocate more budget to YouTube, where user engagement is strongest. You will be involved in activities such as relevance targeting, creative recommendation, bidding optimization, and impact measurement. You will own projects from solution design to production launch and collaborate with Software Engineers and Project Managers. Responsibilities
Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Translate and refine questions into tractable analyses, evaluation metrics, or mathematical models. Design and evaluate models to express and solve defined problems with limited precedent, using custom data infrastructure or existing data models as appropriate. Gather information, goals, priorities, and context around questions, as well as the existing and upcoming data infrastructure. Own data gathering, extraction, and compilation across sources using relevant tools (e.g., SQL, R, Python). Re-format, restructure, or validate data to ensure quality and readiness for analysis. Qualifications
Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or performing statistical analysis, or a PhD degree. 3 years of work experience with Online Marketplace Design, Adtech, and Causal Inference. Preferred qualifications: Master's or PhD degree in a quantitative field such as Engineering, Computer Science, Mathematics, Statistics, Economics, or Business Science. 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or performing statistical analysis, or a PhD degree. Compensation and Benefits
The US base salary range for this full-time position is $141,000-$202,000 plus bonus, equity, and benefits. Salary ranges are determined by role, level, and location. Your recruiter can share the specific salary range for your location during the hiring process. Compensation details in US role postings reflect base salary only and do not include bonus, equity, or benefits. Learn more about benefits at Google. About the Job
In this role you will work on industry-leading optimization solutions to help advertisers optimize YouTube ad spend, measure impact, and improve return on investment. You will partner with Software Engineers and Project Managers and contribute from solution design to data-driven analyses and production launch. EEO and Accommodations
Google is proud to be an equal opportunity workplace and 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 Google’s EEO Policy and EEO is the Law. If you require an accommodation, please let us know by completing the Accommodations for Applicants form. Additional Information
Please note that the compensation details listed reflect base salary only.
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