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

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. PhD preferred.
• 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 (e.g., scikit-learn, TensorFlow, PyTorch).
• 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.

If you would like to know more about this role, do drop me a message or you can alternatively drop me an email stated below.
latha@dhc.com.sg
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We regret to inform you that only shortlisted candidates will be notified. All applications will be treated with the strictest confidence.
Latha M
Senior Researcher
Dynamic Human Capital Pte Ltd,
2 Kallang Avenue #03-08 CT Hub Singapore 339407
EA License No: 12C6253 |Registration No: R198757

• Engage with various stakeholders and cybersecurity teams to deeply understand evolving challenges related to unauthorized privileged
• access and 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