Data Scientist Sênior (Prevenção a Fraudes)

Requisitos

• Good foundation in Python and SQL
• Experience with Machine Learning models in production
• Practical experience with large volumes of data
• Mastery of classic ML algorithms (classification/regression) for risk scores using XGBoost, LightGBM, Random Forest
• Experience productizing and maintaining live and batch ML models

Desejáveis

• Experience with Databricks (Data Asset Bundles, Model Serving, Online Features with DynamoDB)
• Prior experience in fintechs, payments, or financial institutions
• Direct experience in fraud prevention or combating financial crimes
• Knowledge of fraud-related financial metrics (approval rate, chargeback)
• Knowledge of data streaming (Kafka, Kinesis) and real-time processing