Research Data Scientist, YouTube Creator

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Bruno, CA, USA; Mountain View, CA, USA.

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.

About the job

YouTube Data Science team influences and informs YouTube’s product and engineering leadership. We have a long history of working on projects that are at the heart of the business and have a seat at the table when it comes to the decisions that drive YouTube's continued success. Our mission statement? Improving decisions at YouTube with science.

The focus of the Creator Data Science team is to understand the growth and behavior of YouTube's 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. In this role, you will be involved in collaborations across the Creator organization and format teams (e.g., Shorts, Live) as we build a holistic understanding of the creator ecosystem and business generation.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Work with the engineering and product teams to create new metrics, maintain classifiers, enable insights, and drive data-driven decision making.
• Work with data sets and solve investigative issues to understand how brand agreement performs and the impact of new features.
• Conduct end-to-end analysis, including data gathering and requirements specification, processing, analysis, ongoing deliverables and presentations.
• Make business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
• Support launch decisions 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.