Staff/Senior Data Scientist (Risk & Fraud), Algorithm
Tasks
- Analyze business requirements
- Apply models with cross functional teams
- Build feature engineering pipelines
- Deploy machine learning solutions
- Develop machine learning platforms and tools
- Implement real time risk management models
- Train machine learning models
- Translate requirements into machine learning problems
- Troubleshoot model issues
Perks/Benefits
Skills/Tech-stack
Feature Engineering | Keras | LLM | Machine Learning | Model Deployment | PyTorch | Python | Real Time | Real-time risk | Real-time risk management | Risk Management | SQL | Scikit-learn | TensorFlow
Education
N/A
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