Data Scientist - TikTok Integrity and Safety

Description

Join our team and leverage the power of data science to directly safeguard content, users, and privacy on TikTok. You will provide critical data-driven insights for platform responsibility and safety initiatives, including video content safety, live content safety, account security, privacy compliance, and moderation platforms, ultimately enhancing the safety experience for millions of users worldwide.

What will I be doing?
- Design, build, and maintain core metrics systems related to platform content safety and risk, including but not limited to content violation, user report, and account risk identification. Develop comprehensive monitoring and anomaly detection systems to quickly identify and analyze security incidents, providing data support for risk alerts and policy adjustments.
- Apply rigorous statistical methods, including A/B testing, causal inference, regression analysis, and more, to evaluate the effectiveness of security policies. You will deeply analyze experiment results, provide quantitative evidence for business decisions, and continuously optimize experiment design to improve evaluation efficiency.
- Develop quantitative analysis systems for specific business challenges and leverage data mining techniques to identify potential optimization opportunities. You will work closely with product, operations, R&D, and algorithm teams to translate analytical insights into actionable improvements and drive their implementation, ultimately improving platform safety.
- Continuously explore and summarize data analysis methodologies, create reusable analysis frameworks and tools to improve the overall analytical capabilities of the team. Participate in the design and iteration of data products, productizing data analysis capabilities to provide business teams with more efficient and convenient data services.

Requirements

Minimum Qualifications
- 2+ years of data science experience, with experience in Internet/content platform safety business. Bachelor's degree or above in statistics, data science, economics, mathematics, or a related field.
- Proficient in SQL, skilled in using data analysis tools such as Python/R, and possesses excellent visualization skills. Familiar with common machine learning algorithm principles and understands methods such as causal inference and A/B testing.
- Possesses excellent logical thinking, problem analysis and solving abilities, as well as good communication, expression, and cross-team collaboration skills.

Preferred Qualifications
- Experience in content security, integrity, or risk management is preferred.