Full Stack Data Scientist

Full Stack Data Scientist to drive end-to-end data science life cycle for detection of cyber fraud and AML prevention. Responsibilities include analyzing structured and unstructured data, developing ML models (classification, clustering, anomaly detection), feature engineering, handling data leakage, building data pipelines, deploying and maintaining ML solutions in production, creating visualizations, experimentation with ScikitLearn, LightGBM, CatBoost, Keras, TensorFlow, PyTorch, and managing data with SQL/NoSQL databases, distributed stores (Athena, Hive), and cloud/container technologies (Docker, Kubernetes, AWS). Emphasis on model monitoring, drift detection, explainability (XAI), and communicating results to varied audiences. Proatividade, analytical mindset, and collaboration with multidisciplinary teams are valued in a hybrid work setup in Indaiatuba, Brazil.