AI数据策略（体验监察方向）-TikTok Shop
Core
Building a consumer experience issue identification tag system and leveraging AI to automate problem detection, root cause analysis, and quantify improvements on retention, repurchase, and GMV.
Role type
Senior IC data scientist (AI strategy & experience monitoring)
Builds
Consumer experience tag system, automated problem identification, root cause analysis models
Domain
E-commerce, Consumer Experience, AI/ML
Deliverable
production ML models
Required skills
NLP, Large Language Models (LLM), SQL, Python, Statistical Analysis, A/B Testing, Causal Inference, Knowledge Graphs, Data Tagging Systems
Preferred skills
Experience with Hadoop/Spark/Hive, Experience combining AI for data production, Deep understanding of e-commerce user experience journey
Technologies
NLP, LLM, SQL, Python, R, Hadoop, Spark, Hive
Responsibilities
Design and build a consumer experience tag system integrating user feedback and business nodes; Implement automated problem identification and root cause analysis using AI; Collaborate with product, operations, and customer service teams to drive experience improvements.
