A senior data scientist at a leading fintech startup spent three weeks building what should have been a breakthrough fraud detection model. The algorithm was elegant, the code was clean, and initial tests looked promising. Then came production deployment. Within hours, the system was flagging legitimate transactions as fraudulent while missing obvious scams. The culprit? Training data is…