
Cybersecurity Data Scientist
5 days ago
As a Data Scientist for Cybersecurity and Anomaly Detection, you will play a key role in our team by applying advanced Machine Learning techniques to detect and prevent unauthorized privileged access.
The ideal candidate will have experience in designing and deploying Machine Learning models for anomaly detection and behavioral analytics, as well as monitoring and improving detection accuracy.
You will work closely with engineers to operationalize detection models at scale and communicate findings to technical and non-technical stakeholders.
Leadership skills are also essential, as you will lead project planning and mentor team members.
Required Skills and Qualifications:
- Bachelor's/Master's degree in Computer Science, Data Science, Statistics, or Mathematics
- 5+ years of experience in Data Science/ML, ideally in cybersecurity or fraud detection
- Strong knowledge of anomaly detection, behavioral analytics, classification models, and data mining
- 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
Benefits:
This is an exciting opportunity to join a dynamic team and contribute to the development of cutting-edge solutions in cybersecurity and anomaly detection.
We offer a collaborative and innovative work environment, opportunities for professional growth and development, and a competitive compensation package.
Others:
By submitting your application, you acknowledge that you have read, understood, and agree with our privacy notice.
Thank you for considering this opportunity
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