数据策略研发工程师（J106300）
Core
Build user-side and commercial data warehouses, develop growth prediction and experiment evaluation models, and implement user intent recognition models to drive business optimization.
Role type
Senior IC data strategy engineer (growth & commercialization)
Builds
Production data pipelines, ROI/LTV/DAU prediction models, A/B testing frameworks, and user intent recognition systems
Domain
Internet / E-commerce / Data Strategy
Deliverable
production ML models
Required skills
Data warehouse modeling (ODS/DWD/DWS/ADS), Spark, SQL, Python, A/B testing design, LTV/ROI prediction, user intent recognition, cohort analysis, funnel analysis
Preferred skills
Flink, Kafka, ClickHouse/Doris, large model deployment, 10M+ DAU product experience
Technologies
Spark, Hive, Flink, Kafka, SQL, Python, ClickHouse, Doris
Responsibilities
Build ODS/DWD/DWS/ADS layered data models and offline data pipelines; Develop ROI, LTV, and conversion prediction models; Construct DAU forecasting and anomaly detection systems; Process features and samples for user intent recognition models; Collaborate with product and operations to define and execute growth strategies
Seniority
Mid-Senior, hands-on IC
