TikTok Shop - Ecommerce Anti-Fraud Data Scientist

This role is based in Singapore.

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 mechanisms, 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 the timeline of key projects.

Qualifications:

- Bachelor’s degree or above in Mathematics, Statistics, Computer Science, Business Analytics, or related fields.

- 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 Qualifications:

- Ecommerce anti-fraud experience and GNE-related experience is a strong plus.

- Experience with ML model lifecycle management and A/B experiment design for risk initiatives.