Ecommerce Anti-Fraud Data Scientist

About the role

Join TikTok’s Risk Control and Security team within the Governance and Experience organization to protect the global TikTok Shop marketplace. As an Ecommerce Anti‑Fraud Data Scientist you will define success metrics, build analytical tools, and collaborate across product, engineering, and algorithm teams to detect and mitigate fraudulent activity.

Key responsibilities

• Define, standardize and monitor key performance metrics; develop robust reporting models for continuous improvement.
• Conduct root‑cause analysis of fraud metric anomalies and work with cross‑functional teams to refine detection mechanisms.
• Design and run A/B experiments to evaluate anti‑fraud models and calculate ROI of initiatives.
• Leverage AI‑driven approaches to build scalable monitoring and analytics tooling.
• Lead cross‑functional projects, present insights to stakeholders, and manage project timelines.

Required profile

• Bachelor’s degree or higher in Mathematics, Statistics, Computer Science, Business Analytics or a related field.
• Strong problem‑solving abilities and experience processing complex datasets to uncover fraud patterns.
• Ability to translate analytical findings into actionable business recommendations.

Required skills

• Proficiency in SQL.
• Experience with Tableau for data visualization.
• Programming skills in Python and/or R for data analysis and model building.

What we offer

• Opportunity to work on high‑impact anti‑fraud solutions for a global e‑commerce platform.
• Collaboration with diverse, international teams across product, engineering, and risk.
• Access to cutting‑edge AI and analytics tools.