Sr. Security Data Scientist
Tasks
- Analyze security datasets for threat patterns
- Build behavioral profiling models
- Build threat risk models
- Collaborate with product teams on analytics tools
- Contribute to research patents and publications
- Create breach identification models
- Deploy and monitor models in production
- Develop anomaly detection models
- Evaluate model performance and reduce false positives
- Model attack paths with security graphs
- Recommend segmentation strategies
- Research graph based threat detection
- Track adversary and regulatory trends
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Anomaly Detection | Azure | Behavioral Profiling | GCP | Graph Algorithms | Graph Databases | Graph Neural Networks | Kubernetes | Machine Learning | Mitre Attack | Neo4j | Network Segmentation | Neural Networks | NumPy | Pandas | PyTorch | Python | Risk Modeling | SQL | Scikit-learn | Security Graphs | Statistical modeling | TensorFlow | Threat Intelligence | Threat detection | Zero Trust
Education
N/A
Roles
Data Scientist | Scientist | Security | Security Data Scientist
Regions
Countries
States
Cities
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