Data Scientist Project Intern (TikTok Integrity and Safety) - 2026 Start

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.

Internships at Our Company aims to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth.

As a Project Intern, you will contribute to impactful short-term projects and gain hands-on experience in a fast-paced, professional environment. This internship offers the opportunity to develop practical skills, apply your knowledge to real-world challenges, and explore your career interests.

Responsibilities - Assist in designing and maintaining core indicator systems for platform content security and risks, including content violations, user feedback, account risks, etc.; Participate in building monitoring and anomaly attribution systems, learning to quickly identify and analyze security incidents; - Learn to apply statistical scientific methods, including A/B testing, causal inference, regression analysis, etc., to assist in evaluating the effectiveness of various security strategies; Participate in experimental result analysis to provide data support for business decisions; - Under guidance, conduct quantitative analysis for specific business challenges, using data mining techniques to identify potential optimization opportunities; Collaborate with product, operations, algorithm and other teams to transform analytical insights into actionable improvement plans; - Participate in data cleaning and preprocessing work to ensure data quality and provide reliable data foundation for risk analysis; - Assist in generating data visualization reports and monitoring dashboards to help teams intuitively understand risk situations and strategy effectiveness; - Learn and apply data analysis methodologies, participate in the accumulation of analytical frameworks and tools, enhancing both personal and team analytical capabilities.