Director of Data Science

Summary

Join Experian as a Director of Data Science and lead data science projects focused on credit risk scoring. You will build and mentor a team, develop credit risk models using machine learning and traditional statistical techniques, and collaborate with various teams. This hands-on role requires expertise in Python, data analysis, and model deployment. You will communicate technical insights to both technical and non-technical stakeholders. The position offers a remote work environment and a comprehensive benefits package.

Requirements

• Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field
• 8+ years of data science experience, focusing on credit risk modeling
• Experience leading teams
• Hands-on experience developing and deploying machine learning models, especially in credit risk contexts
• Fundamental knowledge in general processes around targeting, Fraud detection, acquisitions, Account management, collections
• Advanced proficiency in Python and main libraries such as Pandas, NumPy, Scikit-learn, and TensorFlow/PyTorch
• Knowledge of statistical modeling, feature engineering, and machine learning algorithms
• Experience working with big data technologies and distributed systems (e.g., Spark, Hadoop)
• Knowledge of credit risk scoring methodologies, regulatory frameworks, and model governance
• Experience scrapping data and parsing unstructured data

Responsibilities

• Build and mentor a team of data scientists specializing in credit risk modeling
• Build the data science strategy for credit risk modeling and analytics with our goals
• Collaborate with teams, including product, engineering, and compliance, to integrate models into our workflows
• Design scalable, accurate, and explainable credit risk models and models solving problems across the entire credit life-cycle using machine learning and traditional statistical techniques
• Write high-quality, production-grade Python code to prototype and implement models
• Ensure compliance with regulatory requirements and company policies
• Analyze large datasets to identify trends and drivers of credit risk, ensuring applicable insights for partners
• Develop approaches to feature engineering and data enrichment to improve model performance
• Maintain existing models, ensuring they remain up-to-date with changing data and our needs
• Communicate technical concepts and model outcomes to non-technical partners
• Provide strategic insights to executive leadership based on data science outcomes

Preferred Qualifications

Experience with Visualization tools such as Tableau

Benefits

• Health, Dental, Vision Insurance
• 401k match up to 4% of 100% of your salary
• 20% app bonus target
• Remote work environment