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.
Nice to haves:
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 business issues, including using statistical modeling techniques and programming languages (e.g., Python, 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 management skills, with the ability to translate data into clear, insights for non-technical audiences.
What you'll be doing:
Develop understanding of product, Trust and Safety manual and automated processes, tools and customer expectations. Design and develop scalable measurements to support reporting needs.
Lead the statistical design, definition, and implementation of metrics.
Design, implement and own technical implementation of production-level data pipelines, documentation, check-in process, etc.
Build and scale AI-based content rating systems in partnership with Engineering teams.
Collaborate with and influence business and engineering stakeholders to ensure our data is telling the right story.
Perks and benefits:
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Equal opportunity and affirmative action employer.
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English proficiency is a requirement for all roles unless stated otherwise in the job posting.