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cybersecurity python machine learning data science security analytics📋 Description
- Analyze security data to support threat detection and risk scoring.
- Build data-driven models to improve cybersecurity analytics.
- Extract insights from behavioral data to combat social engineering.
- Collaborate with Engineering to enhance attack simulation and training features.
- Present findings to stakeholders to inform security decisions.
🎯 Requirements
- Strong data science and analytics experience.
- Proficiency in Python and ML libraries.
- Experience with cybersecurity analytics or threat data.
- Skilled at processing large-scale behavioral data.
- Strong communication and cross-team collaboration.
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