Senior Data Scientist (Cybersecurity)

TL;DR

Senior Data Scientist (Cybersecurity): Building machine learning algorithms and statistical models to reduce false positives and filter scanning noise in security telemetry with an accent on security governance adoption and contextual risk prioritization. Focus on developing predictive models and establishing a scalable data delivery structure for security operations.

Location: Los Angeles, United States (Remote work options available)

Salary: USD 160,000–190,000

What you will do

• Build data dashboards for security governance adoption
• Develop machine learning algorithms to reduce false positives
• Create statistical models to filter scanning noise
• Build predictive models and establish data delivery structures
• Prioritize vulnerabilities using contextual risk analysis
• Analyze and structure security telemetry data

Requirements

• Senior-level experience in Data Science
• Proficiency in Python, R, and SQL
• Experience with PyTorch and TensorFlow
• Expertise in Data Visualization and Machine Learning
• Must be based in the United States

Culture & Benefits

• Education and fitness budgets
• Flexible work schedule (Flextime)
• Mentorship and personalized growth roadmaps
• Professional growth opportunities and techtalks
• Remote work options