Job Description

About the Team:

As part of the Governance and Experience (GNE) organization, our Risk Control and Security team safeguards TikTok Shop’s global marketplace for users, sellers, and creators. We blend data-driven insights, policy design, and technical innovation to combat fraud while preserving a seamless user experience. The E-commerce Anti-Fraud Data Scientist role sits at the intersection of defining success metrics system, risk analytics, and cross-functional collaboration to monitor and mitigate fraudulent activities.

Responsibilities:

- Define, standardize and monitor key performance metrics, building robust reporting models for effective tracking, evaluation, and continuous improvement

- Conduct deep-dive RCA for fraud metric anomalies, collaborate with product/algo/engineering teams to optimize detection mechanism, and deliver actionable mitigation actions.

- Design A/B experiments to evaluate model/strategy effectiveness, calculate ROI of anti-fraud initiatives, and scale high-impact solutions across global markets.

- Leverage AI driven approaches to build and iterate scalable tooling to facilitate monitoring and analytics.

- Lead cross-functional projects to address findings and present insights to key stakeholders and manage timeline of key projects.