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 Ecommerce 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.