Master's degree in a quantitative discipline such as Statistics, Engineering, 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 large global business managing business outcomes using data analysis, statistical analysis, data pipelines (e.g. SQL), and dashboard solutions (e.g., Tableau, Qlik).
3 years of experience utilizing data science techniques to solve complex business challenges, including using statistical modeling techniques and programming languages (e.g., Python, R) for data analysis.
Experience in leading complex technical projects, influencing cross-functional teams and navigating ambiguous environments.
Experience in Trust and Safety, content moderation, or risk analysis.
Excellent communication, people management, and stakeholder management skills, with the ability to translate data into clear, actionable insights for non-technical audiences.