Data Scientist Graduate (TikTok Platform Safety) - 2027 Start (PhD)
Core
Design metrics systems, monitoring tools, and statistical analysis frameworks to safeguard content, users, and privacy on TikTok's platform.
Role type
PhD-level data scientist (platform safety)
Builds
Core metrics systems, anomaly detection systems, and quantitative analysis frameworks for risk identification and policy evaluation.
Domain
Social media platform safety and content moderation
Deliverable
production ML models
Required skills
Statistical and causal inference, A/B testing, regression analysis, data mining, Python, SQL, R, forecasting, classification methods
Preferred skills
Data science research experience, internship experience in data science, cross-functional collaboration
Technologies
Python, SQL, R
Responsibilities
Design and maintain core metrics systems for content violation and account risk identification; Develop monitoring and anomaly detection systems for security incidents; Apply statistical methods to evaluate security policies and optimize experiment design; Develop quantitative analysis systems to identify optimization opportunities; Create reusable analysis frameworks and tools to productize data analysis capabilities.
