Lead Data Scientist, Fraud Modelling
Cape Town
ZAR 600K-780K (estimate) Senior-level Full Time
Tasks
- Build dashboards and reporting
- Build feature engineering and training pipelines
- Collaborate with product engineering compliance and finance
- Communicate model insights to non-technical stakeholders
- Deploy fraud and risk models to production
- Develop fraud detection models
- Improve precision recall and false positives
- Monitor model performance and drift
- Perform fraud analytics and trend analysis
Perks/Benefits
- Flexible working
- Free Coursera subscription
- Gym reimbursement
- Health and wellness benefits
- Home internet allowance
- Mental health and wellness therapy sessions
- PXA courses
- Parental leave
- Responsible PTO policy
- Technology stipend
Skills/Tech-stack
A/B | A/B Testing | Anomaly Detection | B testing | Behavioral clustering | BigQuery | Cloud Run | Community Detection | Data Versioning | Databricks | Decision Trees | Drift monitoring | Feature Engineering | Graph analytics | Imbalanced datasets | LightGBM | Link Analysis | MLOps | Machine Learning | Model Evaluation | Model retraining | Monitoring | Precision-recall | Python | REST APIs | ROC-AUC | Rule engines | SQL | Scikit-learn | Series analysis | Spark | Streaming Pipelines | Time Series | Time Series Analysis | Vertex AI | XGBoost
Education
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
Language: en
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