Data Scientist
2 First Place, Cnr Simmonds & Pritchard Streets, Johannesburg, 2001, South Africa
ZAR 240K-300K (estimate) Entry-level Full Time
Tasks
- Analyze and query large datasets
- Build real time fraud scoring systems
- Collaborate across technology operations and product teams
- Deploy and enhance fraud capabilities across payments platforms
- Develop machine learning models for fraud detection
- Ensure compliance with regulatory audit and risk frameworks
- Modernize payments ecosystems using data and AI
- Optimize fraud detection accuracy and reduce false positives
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Anomaly Detection | Apache Spark | Azure | Fraud Detection | Google Cloud | Graph analytics | Hadoop | Kafka | Machine Learning | Model Deployment | PyTorch | Python | Real Time | Real-time Scoring | SAS | SQL | Scikit-learn | Supervised Learning | TensorFlow | Unsupervised Learning
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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