Working Hours: Monday – Thursday (8.30am –6pm), Friday (8.30am – 5.30pm) (Hybrid working arrangement)
Working Location: Central
Salary Package: Up to $10,000
Employment Type: Contract
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.
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.
Requirements:
- Degree in Computer Science, IT, or related field.
- Minimum 5 years of experience in machine learning, data science, preferably within cybersecurity or fraud detection domains.
- Strong expertise in anomaly detection, behavioral analytics, and classification models.
By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).
This authorizes us to:
- Contact you about potential opportunities.
- Delete personal data as it is not required at this application stage.
- All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.
Wong Siew Ting (Maeve) - R25127375
ScienTec Consulting Pte Ltd - 11C5781
