Senior Business Data Scientist, Trust and Safety

Job description

Minimum qualifications: - Master's degree in a quantitative discipline (e.g., Statistics, Engineering, and Sciences), or equivalent practical experience. - 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. Preferred qualifications: - 6 years of experience in a global business driving business outcomes using data analysis, statistical analysis, data pipelines (e.g., SQL), and dashboard solutions (e.g., Tableau, Qlik). - 3 years of experience in utilizing data science techniques to solve business issues, including using statistical modeling techniques and programming languages (e.g., Python or R) for data analysis. - Experience in trust and safety, content moderation, or risk analysis. - Experience in leading technical projects, influencing cross-functional teams and navigating ambiguous environments. - Excellent communication, people-management, and stakeholder skills, with the ability to translate data into clear, actionable insights for non-technical audiences. About the job: Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams...