Senior Data Scientist
Current- Combine different models to optimize decision making- Build real-time fraud risk prediction models using machine learning pipeline developed in Python, and implement models in production- Create real-time model feature calculation and set up automatic model refreshing pipeline, to make updated models available in production in hours- Conduct AB testing to compare the performance of different models- Collaborate with engineers to collect new data sources such as user behavior data and device data- Set up rules and decision logics based on partner business requirements before new client launch