Research Data Scientist

You will be in charge of developing next-generation fraud prevention systems by applying advanced analytics, machine learning, and pattern recognition techniques. Freedom of choosing what you need, for how long you need it, without any sort of commitment. Freedom of trying something new, without needing to worry if you don't like it.
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. Train deploy and maintain sophisticated Machine Learning models to spot and block potential frauds
Develop, enhance, and optimize methods for data acquisition, extraction, and processing to ensure the availability of high-quality, relevant data for fraud prevention
Research and experiment alternative approaches to combat fraudulent attempts
Apply pattern recognition and anomaly detection techniques to identify unusual activities and prevent potential fraud across our platform
Minimum of 4 years of experience in a similar role in Data Science or Machine Learning. Degree in Mathematics, Physics, Computer Science, Statistics or similar
High proficiency in Python.
Experience with Statistical Analysis and Machine Learning
Analytical and data oriented
Excellent knowledge of the English language
Ability to work independently with high problem solving skills