Your missionYou will be in charge of developing next-generation fraud prevention systems by applying advanced analytics, machine learning, and pattern recognition techniques. Rather than having a predetermined path to follow, you will define the direction by experimenting, iterating, and making informed decisions to build scalable, high-impact solutions that effectively prevent fraud.Sub to freedom. Freedom of choosing what you need, for how long you need it, without any sort of commitment. Freedom to change your mind and your behavior, whenever you want. Freedom of trying something new, without needing to worry if you don’t like it.Freedom from debts and commitment. If you can’t carry on, cancel. Whenever. Freedom from purchasing and producing waste. Give it back when you don’t need it anymore, we’ll give it a new life.Our mission is ambitious: to create and consolidate an alternative consumption model based on a simple monthly fee to achieve circularity and financial sustainability.Easy to say, harder to do. That’s why we need youA few examples of your daily tasksTrain deploy and maintain sophisticated Machine Learning models to spot and block potential fraudsDevelop, enhance, and optimize methods for data acquisition, extraction, and processing to ensure the availability of high-quality, relevant data for fraud preventionResearch and experiment alternative approaches to combat fraudulent attemptsAnalyze and quantify behavioural patterns of our customer base in order to identify relevant patterns.Apply pattern recognition and anomaly detection techniques to identify unusual activities and prevent potential fraud across our platformIs this you?Minimum of 4 years of experience in a similar role in Data Science or Machine Learning. Previous experience focused on fraud prevention is a plusDegree in Mathematics, Physics, Computer Science, Statistics or similar High proficiency in Python.Experience with Statistical Analysis and Machine Learning Analytical and