Google
Data Scientist, Research, YouTube Shopping Discovery
Google, Mountain View, California, us, 94039
Data Scientist, Research, YouTube Shopping Discovery
Join to apply for the
Data Scientist, Research, YouTube Shopping Discovery
role at
Google Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Mountain View, CA, USA; San Bruno, CA, USA Minimum qualifications
Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience. 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. Experience building and analyzing recommendation systems or search tools. Preferred qualifications
Excellent problem-solving and project management skills, with the ability to communicate insights to technical management teams. Excellent statistical analysis skills. About the Job
YouTube plays a role in how consumers discover and research brands and products. Shopping has a dynamic three-sided marketplace (viewers, creators, and merchants) and recommendations are central to success. In this role, you will work with Engineering and Product teams to identify new opportunities and execute high-leverage projects that bridge existing gaps in the recommendations ecosystem. Responsibilities
Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. 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 and upcoming data infrastructure. Own the process of gathering, extracting, and compiling data across sources via relevant 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. 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.
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Join to apply for the
Data Scientist, Research, YouTube Shopping Discovery
role at
Google Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Mountain View, CA, USA; San Bruno, CA, USA Minimum qualifications
Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience. 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. Experience building and analyzing recommendation systems or search tools. Preferred qualifications
Excellent problem-solving and project management skills, with the ability to communicate insights to technical management teams. Excellent statistical analysis skills. About the Job
YouTube plays a role in how consumers discover and research brands and products. Shopping has a dynamic three-sided marketplace (viewers, creators, and merchants) and recommendations are central to success. In this role, you will work with Engineering and Product teams to identify new opportunities and execute high-leverage projects that bridge existing gaps in the recommendations ecosystem. Responsibilities
Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. 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 and upcoming data infrastructure. Own the process of gathering, extracting, and compiling data across sources via relevant 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. 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.
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