Senior Data Scientist

Responsibilities

• Design, build, and deploy machine learning models for financial crime and risk challenges
• Work on fraud detection, chargeback prediction, anomaly detection, and transaction monitoring
• Transform ambiguous business problems into measurable ML solutions
• Partner with Product and Operations teams to define requirements and success metrics
• Build and maintain production-ready data pipelines and model-serving solutions
• Monitor model performance and continuously improve accuracy and reliability
• Collaborate with Data and Backend Engineering to operationalize machine learning at scale

Requirements

• 5+ years of experience in Data Science, Machine Learning, or Software Engineering
• Strong Python skills and experience with large-scale datasets
• Proven experience deploying machine learning models in production environments
• Strong understanding of supervised learning and classification problems
• Experience with anomaly detection, fraud prevention, or risk modeling
• Ability to translate business challenges into data-driven solutions
• Experience working cross-functionally with stakeholders

Preferred Qualifications

• Experience in financial crime, fraud prevention, AML, risk, or payments
• Experience in fintech, banking, or financial services
• Backend engineering experience and familiarity with production systems
• Experience building real-time decisioning or risk platforms
• Familiarity with modern MLOps practices and model monitoring

Benefits

• Competitive salary and benefits
• Stock options
• Discretionary performance bonus
• Access to the latest tools and technology
• Opportunity to build the best fintech app in Latin America