Senior Data Analyst: Advanced Threat Detection
3 days ago
We are seeking a highly skilled and motivated data scientist to join our cybersecurity team, focusing on detecting and preventing unauthorized privileged access. In this role, you will leverage advanced data science techniques and machine learning models to identify security threats, mitigate risks, and protect critical assets.
You will collaborate closely with business stakeholders, cybersecurity experts, and engineers to deliver actionable insights and production-ready solutions.
Key Responsibilities:
- Engage with various stakeholders and cybersecurity teams to deeply understand evolving challenges related to unauthorized privileged access.
- Identify opportunities for data-driven solutions.
- Design, develop, and deploy advanced machine learning models and analytical techniques to detect anomalous behavior and potential security breaches.
- Continuously monitor and evaluate model performance; iterate to improve detection accuracy and reduce false positives.
- Collaborate with engineering teams to build scalable and reliable production systems that operationalize detection models.
- Lead, mentor, and support the engineering team, fostering their technical growth and development.
- Communicate complex findings and insights clearly to both technical and non-technical stakeholders, driving data-informed decision-making.
- Lead project planning and timeline management to ensure timely delivery of analytics solutions.
Required Skills and Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
- Proven experience (typically 5+ years) in data science or machine learning roles, preferably within cybersecurity or fraud detection domains.
- Strong expertise in anomaly detection, behavioral analytics, and classification models.
- Hands-on experience with Python, R, or similar programming languages and relevant ML libraries.
- Familiarity with cybersecurity concepts, especially around privileged access management, threat detection, and risk mitigation.
- Experience working with large-scale datasets, data pipelines, and cloud environments.
Benefits:
- Opportunity to work with a leading cybersecurity organization.
- Collaborative and dynamic work environment.
- Professional growth and development opportunities.
Others:
- By submitting an application, you acknowledge that you have read and understood the terms and conditions of our privacy notice.
- Only shortlisted candidates will be notified.
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