Senior Data Scientist, E-commerce - USDS

About the team:

The E-commerce Risk Control and Security team is dedicated to protect TikTok Shop from fraudulent activities and user abuses, ensuring a trustworthy and user-friendly marketplace for buyers, sellers, and creators. As a global team, we are developing and managing foundational platforms including the risk decision engine, enforcement framework, and model & graph platforms. These systems are tackling some of the highest throughput challenges across Global E-commerce.



Responsibilities:

- Be responsible for end-to-end data analysis projects in the e-commerce security field, including collecting, cleaning, and transforming e-commerce security-related data (such as transaction logs, user behavior data, abnormal order data, and fraud records), perceive and identify security risks from it, promote the implementation of data-driven e-commerce security solutions, and have the ability to implement and execute solutions in the production environment.

- Monitor and analyze e-commerce security data trends, including information leakage, malicious crawling of commodity/price data, etc.; identify data anomalies, potential security risks and optimization directions, improve the security of the e-commerce platform, and protect the rights and interests of users and merchants.

- Be responsible for data-based diagnosis of e-commerce security issues, use statistical methods and data mining technologies to conduct root cause analysis on e-commerce security pain points, and provide implementable security solutions to support e-commerce security decision-making.

- Collaborate deeply with e-commerce business teams, product teams, security teams and engineering teams, understand e-commerce security needs, convert them into e-commerce security data analysis tasks, and design and deliver scalable data analysis solutions to solve complex e-commerce security challenges.