Cybersecurity - Data Analyst - Python, AI/ML, LLM

Erias VenturesAnnapolis Junction, MD
15h$150,000 - $200,000

About The Position

We are seeking a Data Analyst to serve as behavioral scientists for AI systems, defining what constitutes “normal" behavior before identifying anomalies. In Phase 1, they conduct controlled experiments across various AI models, including commercial services and open-source models deployed locally, to observe resource utilization, API interaction patterns, and output features. They analyze telemetry data from these systems to establish statistical baselines and create anomaly detection algorithms that can differentiate between typical operational variations and security issues. A key aspect of their work involves distinguishing between conversational AI that functions in discrete sessions and autonomous AI agents that maintain persistent states and can alter their workflows.

Requirements

  • Six (6) years of demonstrated experience as a Data Analyst in programs and contracts of similar scope, type, and complexity.
  • Three (3) years of demonstrated experience in cybersecurity activities in programs and contracts of similar scope, type, and complexity.
  • Python data analysis (pandas, scikit-learn, numpy)
  • Statistical analysis and anomaly detection
  • Data visualization skills
  • Understanding of APIs and how systems communicate
  • Ability to document and explain results to senior leadership.
  • A current Top-Secret/SCI with polygraph security clearance is required.
  • Candidates cannot be sponsored or nominated for a government security clearance under this position.

Nice To Haves

  • Experience with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face)
  • Understanding of how AI systems behave (conversational vs. autonomous agents)
  • Cybersecurity or threat detection background
  • Will analyze behaviors of commercial AI services (ChatGPT, Claude) and open-source models
  • Will build detection algorithms (context) for AI-specific anomalies
  • Will work with large telemetry dataset

Responsibilities

  • Analyze telemetry data from AI systems to establish statistical baselines
  • Create anomaly detection algorithms to differentiate between typical operational variations and security issues
  • Distinguish between conversational AI and autonomous AI agents

Benefits

  • Above Market Hourly Pay
  • 11% Roth or Traditional 401k with Immediate Vesting and Deposit
  • Spot Bonuses for Assisting with Business Development and Company Growth
  • Professional Development Bonuses for Certificates and Degrees
  • Company subsidized Medical Coverage
  • 100% Company Paid Vision and Dental Coverage
  • 100% Company Paid Long Term Disability , Short Term Disability , and Group Life Insurance
  • Monthly Wellness Reimbursement
  • Paid Time Off with Flexible Work Schedules and Birthday Off
  • Amazon Prime Membership and Monthly Internet Reimbursement
  • Technology and Productivity Allowance for Equipment and Supplies
  • Morale Building and Company Events to Celebrate our Successes and Build our Community
  • Onboarding and Annual Swag
  • Company Paid Professional Development and Training
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