Data Scientist Lead

3 days ago


Manila, National Capital Region, Philippines Trellix Full time
Trellix Cybersecurity Professional in Manila

Overview:

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 Summary:**

We seek an accomplished Data Scientist to collaborate with our Email Security team in developing 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:

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

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