Google
Data Scientist, Research, Search Ads
Google, Mountain View, California, us, 94039
Minimum qualifications:
+ Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
+ 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
Preferred qualifications:
+ 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
The team supports the SAGE (Search Ads and Google Experience) organization in developing important ad products at Google from classic text ads to rich shopping ads to exciting new products like Discovery ads.
+ Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer, and provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
+ Use custom data infrastructure or existing data models as appropriate, design and evaluate models to mathematically express and solve defined problems with limited precedent.
+ Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing/upcoming data infrastructure.
+ Own the process of gathering, extracting, and compiling data across sources via tools (e.g., SQL, R, Python), format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
+ Research, develop, and maintain metrics for Search Ads (e.g., A/B tests, experimentation).
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.
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+ Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
+ 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
Preferred qualifications:
+ 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
The team supports the SAGE (Search Ads and Google Experience) organization in developing important ad products at Google from classic text ads to rich shopping ads to exciting new products like Discovery ads.
+ Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer, and provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
+ Use custom data infrastructure or existing data models as appropriate, design and evaluate models to mathematically express and solve defined problems with limited precedent.
+ Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing/upcoming data infrastructure.
+ Own the process of gathering, extracting, and compiling data across sources via tools (e.g., SQL, R, Python), format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
+ Research, develop, and maintain metrics for Search Ads (e.g., A/B tests, experimentation).
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.
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