Email Threat Detection Expert

5 days ago


Manila, National Capital Region, Philippines Trellix Full time
Data Scientist - Email Security Team at Trellix

**About Us:**

Trellix, the trusted CISO ally, is redefining the future of cybersecurity with its GenAI-powered platform. Our comprehensive security solutions empower over 53,000 customers to gain confidence in the protection and resilience of their operations.

We're dedicated to addressing the 4-million-person cybersecurity talent gap by creating a home for anyone seeking a meaningful future in cybersecurity. We invite candidates from various industries to join us in shaping cutting-edge security solutions.

**Job Description:**

We are seeking an experienced Data Scientist to join our Email Security team and contribute to the development of innovative data-driven models to detect and mitigate email-borne threats. This role will be instrumental in enhancing our ability to detect sophisticated attacks, improve automation, and proactively safeguard our customers.

Key Responsibilities:

  1. Design, develop, and implement data-driven models to detect and prevent email-based security threats.
  2. Analyze large datasets of email communications to identify patterns, anomalies, and emerging threats.
  3. Leverage behavioral pattern detection techniques to identify suspicious email activities and attack vectors.
  4. Collaborate with security researchers, engineers, and threat intelligence teams to improve detection capabilities and reduce false positives.
  5. Monitor, evaluate, and refine models to maintain high detection efficacy and adapt to evolving threats.
  6. Develop and optimize feature extraction techniques tailored to identifying malicious emails, attachments, and URLs.
  7. Work closely with software engineering teams to integrate data models into production systems.
  8. Participate in cross-functional meetings, providing insights based on data analysis findings and contributing to proactive defense strategies.
  9. Maintain and enhance data pipelines for training, deploying, and monitoring analytical models.
  10. Stay current with advancements in data science, artificial intelligence, and cybersecurity to continuously improve detection methodologies.


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