Data Science Intern (TikTok LIVE) - 2027 Summer
TikTok · San Jose, CA · 3 mo ago
Engineering$35/hrInternship
About the role
TikTok Live Data Science team is responsible for Live growth, ecosystem, and revenue strategy analytical work. We work closely with the Algorithm team and Product team to generate actionable insights from data, driving Live to create an environment that brings communities together in real time for meaningful and interactive connections globally.
Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.
Responsibilities
- Conduct data analysis in LIVE-related business, including watching experience, creator ecosystem, agency management, and algorithm improvement.
- Design metrics framework to measure product health, track core metrics, and understand root causes of metric movements.
- Conduct scientific evaluation using 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 improvements.
- Research data science theories and methodology to improve analysis efficiency and data product tools.
Requirements
- Individuals completing or who have recently completed a Bachelor's/Master's degree in Data Science or a related discipline.
- Expertise in SQL.
- Strong analytical and causal reasoning mindset, with rigor on statistical correctness.
- Strong communication skills and passion for product challenges.
Preferred Qualifications
- Experience with LIVE-related business.
- Knowledge of machine learning and recommendation systems.
- Experience programming with Python or R.
Benefits
- Day-one access to health insurance, life insurance, and wellbeing benefits.
- 10 paid holidays per year and paid sick time (56 hours if hired in the first half of the year, 40 if hired in the second half).
- Eligibility for housing allowance (for interns not working 100% remote).
Pay
The hourly rate for this position is $35.