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 analysis findings.
• Prepare datasets and develop, evaluate, document, and maintain statistical and machine learning models for cybersecurity use cases.
• Set guardrails for AI-assisted workflows and support model governance, security controls, and auditability.

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 in security engineering workflows, including validation and data-sensitivity awareness.
• Knowledge of statistics, complex dataset preparation, model evaluation and interpretation, SDLC, CI/CD, application resiliency, secure software delivery, and financial services IT systems.

Nice to have

• Bachelor’s degree in a related field plus 3+ years of applied data science experience; experience with TCP/IP, cybersecurity technologies, and security telemetry.
• Production model monitoring or deployment experience, including AWS SageMaker; familiarity with Large Language Models, vector embeddings, 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 machine learning, deep learning, and potentially Generative AI to security use cases; leads safe, human-validated use of enterprise-authorized AI and establishes guardrails for AI-assisted and agentic workflows.