Cybersecurity AI/ML Lead - Data Scientist

What you'll do

• Partner with stakeholders and engineering teams to define security use cases, obtain data, and communicate analytical findings.
• Prepare security datasets and develop, evaluate, and document statistical and machine learning models.
• Build and maintain production code, support model governance, and establish guardrails for AI-assisted workflows.

What they ask for

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

Nice to have

• Bachelor’s degree in Data Science, Mathematics, Statistics, Econometrics, Computer Science, or a related field, plus 3+ years of applied data science experience.
• Experience with cybersecurity telemetry, production model monitoring or deployment, AWS SageMaker, or Large Language Models and responsible AI practices.

Pay

$171,000.00-$260,000.00 USD base salary

Tools

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

AI focus

Applies enterprise-authorized AI and AI/ML to security engineering workflows, including safe use, human-in-the-loop validation, auditability, and guardrails for AI-assisted and agentic workflows. Understands appropriate use of Generative AI and transformer architectures.