应用研究员-因果推断与大模型应用
Core
Researching causal inference methods and large model applications to optimize business decision-making processes and experimental designs.
Role type
Senior Research Scientist (Causal Inference & LLM Applications)
Builds
Scalable statistical solutions, decision support tools, and experimental analysis frameworks.
Domain
Technology, Data Science, Causal Inference, Large Language Models
Deliverable
production ML models
Required skills
Causal inference, experimental design, Bayesian inference, optimization, reinforcement learning, large model applications, Python, SQL, R, academic research, problem definition
Preferred skills
Published academic papers, ability to explain complex principles simply
Responsibilities
Optimize experimental design and analysis schemes based on business scenarios; Support business intelligence decision flows using LLM agents and ML tools; Optimize computational and storage solutions for statistical methods at scale; Guide mid-platform product iteration by extracting commonalities from business problems.
