About Triam Security:

Triam Security is revolutionizing software supply chain security through our advanced vulnerability database platform and CleanStart product line. We provide
hardened, vulnerability-free container images with built-in security, compliance,
and performance benefits. Our mission is to transform container security by eliminating pre-existing vulnerabilities and providing full visibility and control over the
software supply chain.

Role Overview:

As a Senior Data Scientist on our Data Science team, you will lead the development
of AI and machine learning solutions to enhance our vulnerability database and automate security operations. You will design and implement generative AI models
with agentic workflows that can automate build processes, threat research, and operational tasks across our platform. Your expertise in advanced AI techniques and
security data will be crucial in creating intelligent systems that dramatically improve our ability to identify, predict, and mitigate security risks.

Key Responsibilities:

• Design and develop generative AI models for security automation
• Create agentic workflows that can autonomously perform security tasks
• Build machine learning systems to enhance vulnerability detection and classification
• Develop predictive models for identifying potential security threats
• Implement natural language processing for security advisory analysis
• Design AI systems that can automate build and package selection decisions
• Collaborate with Threat Research and Build teams to understand automation needs
• Develop data pipelines and processing systems for security intelligence
• Lead research initiatives in applying AI to software supply chain security
• Mentor junior data scientists and establish best practices

Required Qualifications

• 5+ years of experience in data science, machine learning, or related fields
• Strong background in generative AI and large language models
• Experience with agentic AI systems and autonomous workflows
• Proficiency in Python and data science libraries (PyTorch, TensorFlow, etc.)
• Knowledge of natural language processing and text analysis
• Experience with data pipelines and processing large datasets
• Understanding of software security concepts and vulnerabilities
• Strong analytical and problem-solving skills
• Advanced degree in Computer Science, Data Science, or related field

Preferred Qualifications:

• Experience applying AI to cybersecurity problems
• Knowledge of container security and software supply chain concepts
• Background in vulnerability analysis or threat intelligence
• Experience with reinforcement learning or autonomous systems
• Understanding of DevOps workflows and automation
• Publications or research in AI security applications
• Experience with graph-based data modeling and analysis
• Knowledge of compliance and security standards