Cyber Security Operations Consultant

Position Overview

Join Deloitte's Cyber Defense & Resilience (D&R) Security Operations team as a Consultant – Cyber Defense & Resilience – Security Operations. In this dynamic environment, you'll be part of the largest group of cybersecurity professionals worldwide working at the intersection of cybersecurity, advanced cyber data engineering, AI and ML. Recruiting for this role ends on 12/31/2025.

Cyber Defense & Resilience is an integrated team of security and data technologists who serve as a trusted advisor and managed service provider across security data modernization, Data Ops, AI, and ML. Our team supports clients in running smarter, faster, and more efficiently while continuously developing and innovating technology solutions.

Key Responsibilities

• Design and modernize large scale cyber data and analytics programs that promote organizational intelligence and implement as-a-service based subscription models.
• Harness bleeding edge cyber big data and AI technologies including Databricks for Cyber, AWS Security Lake, Google Sec Ops, Splunk, Crowdstrike, and Palo Alto.
• Enable day-to-day operations, maintenance, and enhancements of data platforms by leveraging standardized, automated, and AI-enabled Data Ops capabilities.
• Advance clients’ AI and Analytics journeys with flexible expertise, experience-hardened assets, and curated datasets.

Required Qualifications

• 2-4 years of relevant Analytics consulting or industry experience.
• Experience with AI development tools such as vector databases (e.g., Pinecone, Elastic) and AI frameworks (e.g., Langchain, CrewAI).
• 2-4 years’ experience in statistical analysis, machine learning, and data mining techniques.
• Proficiency in statistical computer languages (Python, SQL, R, SAS, etc.) for data preparation, visualization, and feature generation.
• 2-4 years’ experience using cybersecurity cloud platforms such as Google SecOps, AWS, or Azure.
• 1-4 years’ experience with SOC threat hunting and incident response.
• Demonstrated expertise managing a full life cycle analytics engagement from strategy to implementation.
• Bachelor’s Degree in Engineering, Mathematics, Empirical Statistics or 4 years equivalent professional experience.
• Ability to travel up to 50% based on client and industry needs.
• Limited immigration sponsorship may be available.

Preferred Qualifications

• Experience architecting, designing, developing and deploying enterprise data science solutions incorporating AI capabilities such as NLP, Chatbots, Virtual Assistants, and Computer Vision, alongside big data tools for managing massive datasets.
• Knowledge of how AI, ML, and advanced data engineering intersect with cybersecurity use cases, particularly for threat detection and response acceleration.
• Experience parsing and normalizing cyber or IT-specific telemetry datasets.
• Expertise in Python machine and deep learning frameworks and libraries (e.g., PyTorch, Keras, Tensorflow, Scikit-learn, Numpy, SciPy).
• Experience designing and implementing Apache Open Source frameworks (e.g., Kafka, Storm, Spark) to manage end-to-end data lifecycles.
• Ability to work independently and manage multiple task assignments.
• Strong oral and written communication skills, including effective presentation skills (e.g., MS Visio, MS PowerPoint).

Benefits & Perks

• Compensation Range: $80,400 to $148,000
• For applicants needing accommodation, please visit this link.