数据科学家（模型算法方向）-抖音
Core
Develop user growth modeling, SOTA time series models, and user LTV models to solve long-cycle value modeling at macro and micro levels; apply experimental design, causal inference, and operations research for growth strategy evaluation and iteration.
Role type
Senior IC data scientist (growth modeling & causal inference)
Builds
Production ML models for user growth, LTV prediction, and strategic decision support
Domain
Internet / Mobile Apps / User Growth / Causal Inference
Deliverable
production ML models
Required skills
Time series modeling, Causal inference, Machine learning, Deep learning, LLM research and application, Operations research, Experimental design, Mathematical modeling
Preferred skills
Search, Recommendation, Advertising, RTA, NLP, Intelligent marketing, High-impact conference publications (AAAI/SIGIR/KDD/ACL/NeurIPS/CIKM/RecSys)
Technologies
LLM frameworks, Time series libraries, Causal inference libraries
Responsibilities
Research and implement SOTA time series and LTV models; Solve complexity measurement problems in growth strategy using causal inference and operations research; Abstract business problems into unified mathematical frameworks for cross-team enablement; Provide modeling support for strategic and tactical growth decisions.
