Advanced Threat Detection Specialist
3 days ago
A Senior Cybersecurity Data Scientist is required to join our team, focusing on detecting and preventing unauthorised privileged access. The role involves applying advanced Machine Learning techniques, building detection models, and delivering production-ready solutions in collaboration with cybersecurity and engineering teams.
Job Description:
The successful candidate will be responsible for designing and deploying Machine Learning models for anomaly detection and behavioural analytics, monitoring and improving detection accuracy, reducing false positives, working with engineers to operationalize detection models at scale, communicating findings to technical and non-technical stakeholders, and leading project planning and mentoring team members.
Required Skills and Qualifications:
- Bachelor's/Master's in Computer Science, Data Science, Statistics, or Mathematics.
- 5+ years in Data Science/ML, ideally in cybersecurity or fraud detection.
- Strong skills in anomaly detection, behavioural 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.
Benefits:
This role offers a challenging opportunity to work with cutting-edge technology and contribute to the development of innovative solutions. As a Senior Cybersecurity Data Scientist, you will have the opportunity to collaborate with a talented team of professionals and develop your skills in a dynamic and supportive environment.
How You Will Make an Impact:
You will make a significant impact by developing and implementing advanced Machine Learning models that improve the security and integrity of our systems. Your expertise will help us stay ahead of emerging threats and ensure the confidentiality, integrity, and availability of our data.
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