About the Team

TikTok Live Data Science team is responsible for Live growth, ecosystem and revenue strategy analytical work. We work closely with Algorithm team and Product team. The goal of the team is to generate actionable insights from data, driving Live to create an environment that brings communities together in real time to create meaningful and interactive connections around the globe. Our main tasks include metrics defining, root cause analysis, experimentation methodology, strategy evaluation and exploratory analysis to find more opportunities.

We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.
Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.
Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted.
Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.

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;