Senior Data Science

Design, develop, and deploy scalable analytical models for fraud prevention in e-commerce and financial services. Monitor model performance, identify anomalies, and establish re-training strategies. Collaborate with cross-functional teams to ensure alignment on technical decisions and fraud prevention strategies.

Solid experience as a Data Scientist with autonomy in leading complex Data Science and Machine Learning projects. Deep knowledge of the end-to-end model lifecycle, from data exploration to deployment and continuous monitoring. Experience in Fraud Prevention and/or risk analysis using advanced Machine Learning and GenAI techniques is a significant advantage.

Hybrid work arrangement with a competitive salary. Opportunity to work on challenging and innovative projects in the technology sector of Latin America.