About this role
Data Scientist – Credit Risk and Fraud at Employer. Location: North America. Role: design models, feature engineering, train models Requirements: Strong hands-on data science and ML; Python; SQL; large-scale datasets; production ML lifecycle; English communication. Category: Data and Analytics Seniority: Mid Level Tools: Python, Pandas, NumPy, scikit-learn, XGBoost, LightGBM, SQL, PySpark, MLflow, LangChain, LangGraph Commitment: Full Time Workplace: Remote Languages: English