Cybersecurity Data Analyst

2 days ago

Singapore beBeeData Full time

Data Analyst Cybersecurity Specialist

We are seeking a highly skilled and motivated Data Analyst to join our cybersecurity team, focusing on detecting and preventing unauthorized privileged access. In this role, you will leverage advanced data analysis 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.

The ideal candidate will have experience in working with large-scale datasets, data pipelines, and cloud environments.

We offer competitive benefits, flexible work arrangements, and opportunities for professional growth and development.

  • Design, develop, and deploy advanced data analytics and machine learning models 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.
  • Communicate complex findings and insights clearly to both technical and non-technical stakeholders, driving data-informed decision-making.

Required Skills and Qualifications

Proven experience (typically 5+ years) in data science or machine learning roles, preferably within cybersecurity or fraud detection domains.

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. PhD preferred.

Strong expertise in anomaly detection, behavioral analytics, and classification models.

Familiarity with cybersecurity concepts, especially around privileged access management, threat detection, and risk mitigation.

  • Hands-on experience with Python, R, or similar programming languages and relevant ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
  • Experience working with large-scale datasets, data pipelines, and cloud environments.

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