Senior Data Scientist

Senior Data Scientist role within Equifax's Global Identity and Fraud Analytics team. Work with stakeholders to formulate and apply modeling solutions across industries such as Financial Services, Telecommunications, eCommerce, Healthcare, Insurance and Government. Responsibilities include manipulating large diverse datasets, translating business requests into use cases and test cases, preparing training data, iterating on algorithms, presenting results to internal and external customers, collaborating with cross-functional teams to develop and deploy analytical prototypes, and ensuring end-to-end delivery with software teams. Required capabilities include applying advanced predictive modeling techniques (e.g., generalized regression, Bayesian methods, random forest, gradient boosting, neural networks, SVM), hands-on data mining and modeling in Python, R, and SQL, and strong ability to communicate complex analytical concepts; preferred experience includes 4+ years in data science domains such as identity/fraud, credit risk, or security analytics, plus deep learning and feature engineering in big data environments.