Senior Credit Data Scientist
Tasks
- Automate model training and scoring using PySpark
- Build machine learning predictive models
- Conduct statistical analysis for credit risk indicators
- Create dashboards for decision-making
- Deploy machine learning models with Docker and Kubernetes
- Develop credit scorecards and risk assessment models
- Identify new data sources and evaluate emerging technologies
- Mentor junior data scientists and present results
- Track and report machine learning model performance
Perks/Benefits
- Cell phone benefits
- Data benefits
- Fibre connection discounts
- Medical aid benefits
- Retirement benefits
- Risk benefits
- Staff discounts
Skills/Tech-stack
Apache Airflow | Apache Spark | Basel accords | D3.js | Decision Trees | Docker | Factor Analysis | Gradient boosting | H2O | Hadoop | K-Means | Kubernetes | Logistic Regression | MLOps | MLflow | Matplotlib | Model Validation | Multiple Regression | NoSQL | Plotly | PyTorch | Python | Qlik | Random Forest | SQL | Scikit-learn | Series forecasting | Stress Testing | Tableau | TensorFlow | Time Series | Time Series Forecasting
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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