Key skills
PythonPyTorchScikit-LearnSQLTableauTensorflowRMachine LearningTensorFlowscikit-learnAgile
About this role
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