Advanced Cybersecurity Threat Detection Specialist
6 days ago
We are seeking a seasoned data scientist to join our cybersecurity team. The ideal candidate will have expertise in detecting and preventing unauthorized privileged access.
The successful candidate will design and deploy machine learning models for anomaly detection and behavioral analytics, monitor and improve detection accuracy, work with engineers to operationalize detection models at scale, communicate findings to technical and non-technical stakeholders, and lead project planning and mentor team members.
Key Responsibilities:- Bachelor's/Master's degree in Computer Science, Data Science, Statistics, Mathematics
- 5+ years of experience in Data Science/ML, ideally in cybersecurity or fraud detection
- Strong skills in anomaly detection, behavioral analytics, classification models
- Proficient in Python, R, and ML libraries (scikit-learn, TensorFlow, PyTorch)
- Experience with large-scale datasets, data pipelines, and cloud environments
- Familiarity with privileged access management and threat detection
A collaborative and dynamic environment where you can grow your skills and contribute to high-profile projects.
Mentorship opportunities and training to help you stay up-to-date with industry trends and best practices.
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