Director, Data Scientist
Tasks
- Collaborate with engineering teams
- Define technical roadmap
- Deploy machine learning models
- Design AML detection models
- Design crypto risk detection models
- Develop machine learning models
- Ensure model documentation
- Ensure model explainability
- Ensure model governance
- Establish data science pipelines and systems
- Iterate on production models
- Lead data science team
- Monitor model performance
- Partner with product teams
- Prepare training data
- Prototype model features
- Set technical priorities
Perks/Benefits
Skills/Tech-stack
Anomaly Detection | Anti-Money Laundering | Behavior Modeling | Crypto Risk Detection | Data Pipelines | Data Preparation | Data Processing | Distributed data | Distributed data processing | Financial crime | Financial crime risk | Financial crime risk modeling | Fraud Detection | Large Scale Data | Large-scale | Machine Learning | Model Explainability | Model Governance | Model Monitoring | Money Laundering | Production Machine Learning | Python | Risk Modeling | Risk detection
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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