数据科学家（Research）-TikTok
Core
Designing decision-making mechanisms, optimizing experimental frameworks and quantitative evaluation methods, and solving general problems in user and content understanding to improve decision and analysis efficiency for TikTok's product and recommendation systems.
Role type
Senior IC data scientist (research & experimentation)
Builds
Advanced statistical and machine learning solutions for A/B testing (handling weak significance, network effects, etc.) and user/content understanding models.
Domain
Social media, Recommendation systems, Large Language Models (LLM)
Deliverable
production ML models
Required skills
Python, Statistical analysis, Machine learning, A/B testing design, Large Language Model (LLM) application, Data mining
Preferred skills
Hadoop, Spark, Hive, Recommendation algorithms
Responsibilities
Design and optimize experimental frameworks and quantitative evaluation methods; Develop advanced statistical or ML solutions for complex A/B testing scenarios; Build ML solutions for deep user and content understanding.
Seniority
Senior, hands-on IC
