Data Science Project Intern (TikTok LIVE) - 2026 Start

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.

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.

Applications are reviewed on a rolling basis, so we encourage you to apply early.

Responsibilities

• Conduct data analysis in LIVE related business, including watching experience, creator ecosystem, agency management, algorithm improvement etc.
• Design metrics framework to measure product healthiness, keep track of core metrics and understand root causes of metric movements.
• Conduct scientific evaluation with statistical methods, including A/B testing and causal inference.
• Identify growth opportunities with data analytics, and drive business decisions. Work with PM/MLE/RD to deliver product and strategy improvement.
• Research data science theories and methodology, improve analysis efficiency and data product tools.

Minimum Qualification(s)

• Currently pursuing a Bachelor's degree in Data Science or a related discipline.
• Expertise in SQL
• Strong analytical and causal reasoning mindset, and rigidity on statistical correctness. Strong communication and passion about product challenges.

Preferred Qualification(s)

• Experience of LIVE related business.
• Knowledge of machine learning and recommendation systems.
• Experience programming with Python or R.