Google
Data Scientist, Research, YouTube Gaming Discovery
Google, San Bruno, California, United States, 94066
Data Scientist, Research, YouTube Gaming Discovery
Data Scientist influences and informs YouTube’s product and engineering leadership. The Gaming Discovery team helps gamers find YouTube content whether it's videos about gaming (e.g., gaming‑related content) or Playables (e.g., mini‑games playable within the YouTube app). At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting‑edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.
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
Experience with machine learning and experiment design principles.
Experience with recommender systems.
Responsibilities
Collaborate with stakeholders in cross‑project and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into analysis, evaluation metrics or mathematical models.
Use custom data infrastructure or existing data models. 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 and 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 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.
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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
Experience with machine learning and experiment design principles.
Experience with recommender systems.
Responsibilities
Collaborate with stakeholders in cross‑project and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into analysis, evaluation metrics or mathematical models.
Use custom data infrastructure or existing data models. 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 and 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 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.
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