Data Scientist Graduate [TikTok LIVE-Data Science] - 2026 Start (BS/MS)

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible.

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.

Responsibilities - What You'II Do
1. Conduct data analysis in LIVE related business, including watching experience, creator ecosystem, agency management, algorithm improvement and etc..
2. Design metrics framework to measure product healthiness, keep tracking of core metrics and understand root causes of metric movements.
3. Conduct scientific evaluation with statistical methods, including A/B testing and casual inference.
4. Identify growth opportunities with data analytics, and drive business decisions. Work with PM/MLE/RD to deliver product and strategy improvement.
5. Research data science theories and methodology, improve analysis efficiency and data product tools.

Minimum Qualifications
1. Bachelor's degree in data science, statistics, econometrics or a related scientific major,
2. Expertise in SQL
3. Strong analytical and causal reasoning mindset, and rigidity on statistical correctness. Strong communication and passion about product challenges.

Preferred Qualifications
1. Experience of LIVE related business.
2. Knowledge of machine learning and recommendation systems.
3. Experience programming with Python or R.