Responsibilities Fraud Detection Development: Develop, train, and test machine learning models for fraud detection using cutting-edge algorithms Data Analysis and Management: Perform complex data analysis, identify key trends, and utilize big data technologies to deliver insight Required skills: 7+ years of experience in data science Experience with traditional Client (XGB, RF, etc.), deep learning applications to time series modeling, natural language processing, computer vision, and anomaly detection techniques Strong proficiency in deep learning tools and frameworks such as TensorFlow, PyTorch, scikit-learn, etc Full-stack development experience on cloud ecosystems Extensive experience with big data technologies like Dask, Hadoop, Spark, and related ecosystems