Cyber Analytics Data Scientist

4 weeks ago


Singapore PAYPAL PTE. LTD. Full time
Job Description
A Cyber Analytics Data Scientist role is available at PayPal PTE. LTD., working with the Cybersecurity Operations team to develop advanced capabilities for Threat Detection Engineering, Cyber Defense Center, Cyber Threat Intelligence, and Offensive Security teams.

About This Job
This role requires a skilled data scientist with expertise in machine learning to create innovative solutions enabling faster detection and automated response to emerging threats. You will leverage data analytics and machine learning techniques to translate our data-at-scale into actionable outcomes through data science and engineering approaches.

Key Responsibilities
You will work closely with the Cybersecurity Operations team to design, develop, and implement machine learning models for detecting and responding to cyber threats across various data sources, including network traffic, user behavior, endpoint activity, and product web sessions.

  • Continuously refine and enhance detection algorithms based on new threat intelligence and feedback from incident response teams.
  • Analyze and apply threat intelligence data to improve detection capabilities, ensuring that models are trained on the latest threat actor behaviors and techniques.

Requirements
To be successful in this role, you should have:

  • Bachelor's or Master's degree in Computer Science, Data Science, Cybersecurity, or a related field.
  • 3+ years of experience in data science and machine learning, preferably within a cybersecurity context.
  • Proficiency in programming languages such as Python or R, and experience with machine learning frameworks (e.g., MLlib, TensorFlow, PyTorch, Scikit-learn).
  • Familiarity with cybersecurity concepts, threat detection methodologies, and threat intelligence frameworks.
  • Strong analytical skills with the ability to translate complex data into actionable insights.
  • Excellent communication skills, capable of conveying technical concepts to non-technical audiences.
  • Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
  • Experience designing new and working with existing deep learning models.
  • Experience with NLP models like embedding models and transformer models.
  • Experience working with time series data.
  • Experience working with supervised, unsupervised, and semi-supervised machine learning settings.
  • Experience developing and testing software services for production deployment.

Salary and Benefits
The estimated salary range for this position is $140,000 - $200,000 per annum. In addition to competitive pay, we offer a comprehensive benefits package, including medical, dental, and vision insurance, 401(k) matching, paid time off, and opportunities for professional growth and development.

PayPal PTE. LTD.

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