数据科学家（PGC-推荐策略） - TikTok
Core
Optimizing PGC content recommendation and distribution strategies, creator growth/incentives, and ecosystem health through data science, experimentation, and AI-native workflows.
Role type
Senior IC data scientist (recommendation strategy & creator ecosystem)
Builds
Recommendation algorithms, creator incentive mechanisms, and ecosystem health metrics for TikTok's global PGC content platform
Domain
Social media, short-form video, recommendation systems, creator economy
Deliverable
production ML models
Required skills
SQL, Python, experimental design, A/B testing, causal inference, recommendation system mechanics, LLM/AI Agent integration, statistical modeling
Preferred skills
Experience with AI-native data science workflows, prior work in content/recommendation/creator ecosystems, AI Agent tool implementation
Technologies
LLM, AI Agents, SQL, Python
Responsibilities
Design and evaluate product/recommendation/ecosystem strategy experiments; Build and monitor metric systems for user experience, content supply, and ecosystem health; Research creator lifecycle and incentive mechanisms to drive growth and monetization; Integrate LLM and AI Agents into data exploration, analysis, and strategy research; Collaborate with MLE and Product teams to iterate recommendation strategies; Translate complex business problems into verifiable data science questions and actionable insights
Seniority
Senior, hands-on IC