Cybersecurity AI/ML Lead & Data Scientist

Socket.dev; McLean (VA); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Health care

On-site wellness centers

Retirement plan

Backup childcare

Tuition reimbursement

Mental health support

Financial coaching

Job summary

JPMorgan Chase & Co. in the United States (McLean) seeks a Cybersecurity AI/ML Lead - Data Scientist to design and deliver scalable, auditable data-driven security solutions supporting Cyber Operations teams.

You will perform data analysis, statistical modeling, and ML/DL techniques, build production-grade code, and govern AI-enabled security workflows with human-in-the-loop validation and security-conscious design.

Qualifications

• 5+ years of security engineering concepts experience.
• Strong grounding in statistics and data analysis for security use cases.
• Proficiency with Python data science stack and ML frameworks.

Responsibilities

• Partner with stakeholders to define security data use cases and acquire data.
• Perform exploratory data analysis and communicate findings to stakeholders.
• Develop and evaluate ML/DL models for cybersecurity needs and outcomes.
• Prepare model-ready datasets with feature engineering and data quality checks.
• Establish guardrails for AI workflows with traceability and security standards.
• Support model governance and document interpretation, performance, and limitations.
• Design, build, and maintain secure production code for analytics and ML solutions.

Skills

Data analysis

Statistics

Python

Machine Learning

Model governance

Explainability

CI/CD

Communication

Education

Bachelor's degree in Data Science

Tools

Jupyter

SageMaker

VS Code

Scikit-Learn

PyTorch

Job description

JPMorgan Chase & Co. in the United States (McLean) seeks a Cybersecurity AI/ML Lead - Data Scientist to design and deliver scalable, auditable data-driven security solutions supporting Cyber Operations teams.

You will perform data analysis, statistical modeling, and ML/DL techniques, build production-grade code, and govern AI-enabled security workflows with human-in-the-loop validation and security-conscious design.