Quick Overview
Seniority
Mid Senior
Work mode
On Site
Location
New York, NY, United States
Posted
23 hours ago
PythonTensorFlowPyTorchScikit-learnMachine Learning
Job Description
Role: Jr. Security Analyst
Location: 100% On-Site (Manhattan, N.Y.)
Duration: 6+ Months
Probable Interview Process – 1st. Video. 2nd -- On-Site Mandatory
Local Candidates - Utilities Experience Preferred
Location: 100% On-Site (Manhattan, N.Y.)
Duration: 6+ Months
Probable Interview Process – 1st. Video. 2nd -- On-Site Mandatory
Local Candidates - Utilities Experience Preferred
JOB DESCRIPTION
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.
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.
• 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).
• 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).
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