OT Cyber Analytics Engineer II

Deloitte France; Huntsville (AL); On-site; USD 110,000 - 160,000; Full time

Job summary

Deloitte’s AI & Data team in the Government & Public Services practice seeks an AI & Data Engineer II to advance analytics, ML model development, and data pipelines for cybersecurity and operational technology use cases.

You will collaborate with cross-functional teams to deliver scalable analytics solutions that support mission objectives while maintaining rigorous data quality and security standards.

Qualifications

• Bachelor’s degree required.
• Active Secret security clearance required.
• 3+ years of experience with data modeling, Jira, machine learning, Python, and SQL.
• Ability to travel 25%, on average, based on work and clients served.
• Must be legally authorized to work in the United States without employer sponsorship.

Responsibilities

• Develop and sustain operational technology cyber data ontologies for analytics, detection, and reporting use cases.
• Build, train, test, and maintain ML models for OT cyber threat detection.
• Design and maintain data pipelines moving sensor and telemetry data to cloud platforms.
• Analyze cyber data to identify patterns, anomalies, and indicators for security operations.
• Collaborate with leads, delivery teams, SOC stakeholders, cloud and data teams, and program management to implement scalable analytics solutions.

Skills

Independent work

Communication

Attention to detail

Relationship building

Project leadership

Task prioritization

Interpersonal skills

Time management

Mentoring others

Education

Bachelor’s degree

Tools

Jira

Python

SQL

Machine learning

Data modeling

Job description

Deloitte’s AI & Data team in the Government & Public Services practice seeks an AI & Data Engineer II to advance analytics, ML model development, and data pipelines for cybersecurity and operational technology use cases.

You will collaborate with cross-functional teams to deliver scalable analytics solutions that support mission objectives while maintaining rigorous data quality and security standards.