— Innovative solution for fraud detection;
— Real-time prediction;
— Data collection process;
— Strategic view and modelling roadmap.
— Strong knowledge of Python (numpy, pandas, scikit-learn, etc.);
— Experience with big data technologies;
— Experience with at least one DL frameworks (Tensorflow, PyTorch);
— Experience in developing model from scratch (problem definition, data collection, feature engineering, model selection, validation, tuning, etc.);
— Deep understanding of classical ML Algorithms;
— Good knowledge of math and statistics;
— Good knowledge of PostgreSQL, MS SQL.
— Knowledge sharing abilities;
— High level of personal responsibility, readiness to commit on projects instead of tasks;
— Degree in Computer Science, Engineering, Mathematics or a related field.