Cybersecurity AI/ML Lead - Data Scientist

What you'll do

• Partner with stakeholders and engineering teams to define security use cases, acquire data, and communicate analytical findings.
• Prepare datasets and develop, evaluate, document, and maintain statistical and machine-learning models for cybersecurity use cases.
• Establish guardrails for AI-assisted workflows and support model governance, security controls, auditability, and human validation.

What they ask for

• 5+ years of experience with formal training or certification in security engineering concepts.
• Advanced Python, including Pandas, SQL, and data visualization tools; working knowledge of Scikit-Learn and machine-learning or deep-learning frameworks such as PyTorch.
• Experience leading safe use of enterprise-authorized AI capabilities and validating AI-assisted security recommendations.
• Experience preparing complex modeling datasets and proficiency with SDLC, CI/CD, application resiliency, and secure software delivery.

Nice to have

• Bachelor’s degree in a related field plus 3+ years of applied data science experience; experience deploying models in production, including AWS SageMaker.
• Experience with cybersecurity telemetry and production model monitoring; working knowledge of LLMs, embeddings, and responsible AI practices.

Pay

USD 171,000.00-$260,000.00 base salary

Tools

Python, Pandas, SQL, Matplotlib, Seaborn, Plotly, Jupyter, SageMaker

AI focus

Applies machine learning, deep learning, and potentially Generative AI to security use cases; leads safe adoption of enterprise-authorized AI and establishes guardrails for AI-assisted and agentic workflows, with human validation and attention to sensitive data, traceability, and auditability.