TikTok Shop - Ecommerce Anti-Fraud Data Scientist

Responsibilities 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.

Qualifications Minimum Qualification(s):

- Bachelor’s degree or above in Mathematics, Statistics, Computer Science, Business Analytic, or related fields (or post-graduation experience in data modeling/analysis).

- Proficient in SQL and Tableau; skilled in Python/R for data analysis, model building, and visualization.

- Strong ability to process complex datasets, identify fraud patterns, and translate insights into business actions.

- Strong problem-solving skills to effectively address evolving fraud challenges.

Preferred Qualification(s):

- Ecommerce anti-fraud experience (e.g., transaction fraud detection, ATO prevention) and GNE-related experience is a strong plus.

- Global market analysis experience or cross-regional project leadership experience.

- Experience with ML model lifecycle management (training, deployment, monitoring) and A/B experiment design for risk initiatives.

- Experience with AI based analytics tooling.

About TikTok TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.​

Why Join Us Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.​

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Diversity & Inclusion​

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects