The Brick

Data Scientist

• Own and shape the company's machine learning landscape with a focus on credit risk and portfolio health
• Design, build, and continuously improve credit scoring models using credit bureau, behavioral, and alternative data sources
• Leverage advanced ML/AI techniques (gradient boosting, neural networks, feature engineering) to optimize risk assessment
• Own the ML lifecycle from experimentation to production, ensuring scalable, robust, and explainable models in partnership with engineering teams
• Set up monitoring, model validation, and performance tracking systems to ensure predictive stability and compliance
• Collaborate with product, operations, and risk analysis teams to integrate ML-driven solutions into lending, collections, and new product launches
• Act as subject-matter expert in data science for risk, mentoring team members and setting best practices for model governance, fairness, and interpretability

Lead Data Scientist, Machine Learning