Senior Data Scientist Fraud Prevention Shipping IT

Model the behavior of buyers, sellers, and all actors involved in logistics within the marketplace, focusing on generating knowledge about patterns and fraud prevention. Implement new and scalable solutions based on statistics, data science, and generative AI techniques. Design, train, and evaluate Machine Learning, Deep Learning models, and LLM-based agents capable of adapting to complex production environments.

Experience developing machine learning, deep learning, or generative AI solutions; experience in e-commerce, fintech, or logistics is valued. Proficiency in Python and data libraries such as NumPy, Pandas, Scikit-learn, and Matplotlib; experience with TensorFlow, Keras, or PyTorch. Knowledge of relational and distributed databases, ideally BigQuery, and processing large volumes of data.

Hybrid work modality. Opportunity to work on challenging and innovative projects that leave a mark on technology in Latin America.