Full Stack Data Scientist

Full-time Other-General

Responsibilities Analyze structured and unstructured data to identify patterns of fraud and money laundering Develop machine learning models (classification, clustering, anomaly detection) for financial security problems Apply feature engineering, handle missing values, normalize data and balance datasets Prevent data leakage when splitting and validating datasets Create visualizations to communicate results to different audiences Experiment with various algorithms (Scikit-Learn, LightGBM, CatBoost, Keras, TensorFlow, PyTorch) Work with distributed data stores (Athena, Hive) processing large volumes Optimize SQL queries to reduce cost and execution time Handle structured data (CSV, Parquet) and unstructured data (JSON, images) Develop data transformation and preparation pipelines Create and maintain automated ML pipelines (training, validation, deployment) Containerize applications with Docker Manage pods and deployments with Kubernetes Ensure scalability and availability of solutions ...