Senior Data Scientist, E-commerce - USDS

Responsibilities

About the team:
The E-commerce Risk Control and Security team is dedicated to protecting Tik Tok Shop from fraudulent activities and user abuses, ensuring a trustworthy and user-friendly marketplace for buyers, sellers, and creators. As a global team, we develop and manage foundational platforms including the risk decision engine, enforcement framework, and model & graph platforms. These systems tackle some of the highest throughput challenges across Global E-commerce.

• 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.

• Bachelor’s degree or above in Computer Science, Data Science, Information Security, Business Analytics, or a related discipline.
• 5+ years of experience in data analytics, with proficiency in SQL, Python, and relevant analytical tools/languages, be able to detect cyber threats and risks by data-driven approaches.
• Excellent capabilities to investigate, identify, analyze hidden issues from e-commerce business data and security logs.
• Strong business judgment and ability to work independently in a fast-paced, ambiguous environment, strong cross-team communication skills to achieve results.

• Experienced in data science and e-commerce security risk mitigation, such as data security, traffic security, or anti-bot.
• Experienced in e-commerce and retail related business fields, familiar with e-commerce security risks and data analysis scenarios.
• Demonstrated communication skills to bridge business and technical teams, able to efficiently promote projects from risk detection to solution implementation; good stress resistance and stability.

USDS is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at

For Los Angeles County (unincorporated) candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

【For Pay Transparency】Compensation Description (Annually). The base salary…