Senior Product Data Scientist, Youtube Creator
Role details
Job location
Tech stack
Job description
As a part of the YouTube Data Science team, you will influence and inform YouTube's product and engineering leadership. In this role, you will work on projects that are at the heart of the business, having a seat at the table on decisions that drive YouTube's continued success, all guided by the mission of improving decisions at YouTube with science. As a part of the Creator Data Science team, you will understand the growth and behavior of YouTube's various creator ecosystem, from traditional media companies to individual creators who are just "getting started" and build tools, systems, and policies that help creators grow on the platform. You will be involved in collaborations across the Creator organisations and format teams (eg, Shorts, Live) as we build a holistic understanding of the creator ecosystem and monetization. At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we 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 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., * Collaborate with engineering and product teams to create new metrics, enable insights, and drive data-driven decision making.
- Analyze data sets and solve analytical issues to understand how Channel Memberships perform today and to inform future product roadmaps.
- Execute end-to-end analysis, including data gathering and requirements specification, processing, analysis, ongoing deliverables and presentations.
- Deliver business recommendations through effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
- Validate launch recommendations through experimental design and 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.
Requirements
Do you have experience in SQL?, Do you have a Master's degree?, * Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years work experience with a Master's degree)., * Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
- Experience influencing executive leadership.
- Ability to demonstrate a proven passion for YouTube and helping creators grow.