Security Analyst, Jr., Onsite NYC

job summary:

Role Summary

Join the team applying AI and machine learning to real security challenges: threat detection, log analysis, anomaly spotting, and automation. You'll work alongside senior engineers and Enterprise Architect to build and support tools that strengthen our security posture.

What You'll Do

Help develop, tune, and monitor AI/ML models for threat detection and log analysis.

Prepare and label security data (logs, alerts, telemetry) for model training.

Build scripts and automation to streamline security workflows.

Integrate AI tooling into existing security pipelines.

Document models, data sources, and workflows clearly.

Collaborate across security and engineering teams.

What You Bring

Bachelor's in Computer Science, Cybersecurity, Data Science, or a related field, or equivalent experience.

Working knowledge of Python.

Interest in security and AI, with a drive to learn and grow.

Strong communication and attention to detail.

Nice to Have

Experience with ML libraries (scikit-learn, PyTorch, TensorFlow).

Familiarity with security fundamentals (networking, logging, common threats).

Exposure to SIEM/SOAR platforms or cloud environments.

A relevant certification (Security+, AZ-900, or similar).

location: New York, New York
job type: Contract
salary: $46 - 50 per hour
work hours: 9am to 6pm
education: Bachelors
responsibilities:

Role Summary Join the team applying AI and machine learning to real security challenges: threat detection, log analysis, anomaly spotting, and automation. You'll work alongside senior engineers and Enterprise Architect to build and support tools that strengthen our security posture.

What You'll Do

• Help develop, tune, and monitor AI/ML models for threat detection and log analysis.
• Prepare and label security data (logs, alerts, telemetry) for model training.
• Build scripts and automation to streamline security workflows.
• Integrate AI tooling into existing security pipelines.
• Document models, data sources, and workflows clearly.
• Collaborate across security and engineering teams.

What You Bring

• Bachelor's in Computer Science, Cybersecurity, Data Science, or a related field, or equivalent experience.
• Working knowledge of Python.
• Interest in security and AI, with a drive to learn and grow.
• Strong communication and attention to detail.

Nice to Have

• Experience with ML libraries (scikit-learn, PyTorch, TensorFlow).
• Familiarity with security fundamentals (networking, logging, common threats).
• Exposure to SIEM/SOAR platforms or cloud environments.
• A relevant certification (Security+, AZ-900, or similar).

qualifications:

Role Summary

Join the team applying AI and machine learning to real security challenges: threat detection, log analysis, anomaly spotting, and automation. You'll work alongside senior engineers and Enterprise Architect to build and support tools that strengthen our security posture.

What You'll Do

Help develop, tune, and monitor AI/ML models for threat detection and log analysis.

Prepare and label security data (logs, alerts, telemetry) for model training.

Build scripts and automation to streamline security workflows.

Integrate AI tooling into existing security pipelines.

Document models, data sources, and workflows clearly.

Collaborate across security and engineering teams.

What You Bring

Bachelor's in Computer Science, Cybersecurity, Data Science, or a related field, or equivalent experience.

Working knowledge of Python.

Interest in security and AI, with a drive to learn and grow.

Strong communication and attention to detail.

Nice to Have

Experience with ML libraries (scikit-learn, PyTorch, TensorFlow).

Familiarity with security fundamentals (networking, logging, common threats).

Exposure to SIEM/SOAR platforms or cloud environments.

A relevant certification (Security+, AZ-900, or similar).

skills:

AI and machine learning,AI,cloud environments,Cybersecurity,logging,Computer Science,threat detection,log analysis,ML models,knowledge of Python,PyTorch,ML libraries,scikit-learn,SIEM,TensorFlow,attention to detail,communication,automation,Data Science,security fundamentals,model training,security,security posture,telemetry,AI tooling,workflows

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.