Risk Data Scientist at T-Bank develops and improves credit scoring models for the bank's lending products, using ML to estimate default probability and directly influence credit decisions and business returns. Stack: Python ML (scikit-learn, LightGBM, CatBoost, PyTorch), SQL (PostgreSQL, Greenplum), Airflow, Git.
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