Lead Data Scientist

Role Overview

• Oversee the design, development, and implementation of scalable scoring models
• Collaborate with the Credit team to define data science strategies
• Guide and mentor junior data scientists
• Communicate complex technical concepts to non-technical stakeholders
• Establish rigorous testing and validation protocols
• Stay on top of industry trends and emerging technologies
• Work closely with product, engineering, and business teams to integrate data science outputs

Requirements

• Proven track record in developing and validating credit models
• Expertise in regression, classification, ensemble methods, and time-series forecasting
• Strong proficiency in Python (or R) and SQL
• Hands-on experience in libraries like scikit-learn, TensorFlow/PyTorch
• Experience building and managing robust data pipelines
• Familiarity with deploying machine learning models into production environments
• Proficiency in visualization tools such as Tableau
• Knowledge of agile development practices

Tech Stack

• Python
• PyTorch
• Scikit-Learn
• SQL
• Tableau
• Tensorflow

Benefits

• 5 weeks of vacation
• Private healthcare compensation
• Hobby grant
• Mental health support
• Share options
• Continuous learning resources and budget