Data Scientist

• Own a real-world project stream end-to-end, such as syndicate detection, user behavior sequencing, market manipulation detection, or feature discovery
• Process and analyze billions of records using PySpark, Hive, and Trino
• Develop robust SQL pipelines for feature engineering and validation
• Build, evaluate, and iterate on machine learning models
• Translate model performance into business metrics such as detection rate, false-positive rate, and latency
• Work with the Risk AI DS team on risk-detection models using large-scale user behavior, fund-flow, and market data

Data Scientist jobs in Taiwan

Data Scientist, Analytics