Cyber OT Data Scientist & ML Engineer

Relha LLC; Huntsville (AL); On-site; USD 120,000 - 165,000; Full time

Job summary

Deloitte’s GPS team is seeking a Data Scientist - L45 to build and operate analytics for operational technology cyber data. The role focuses on ontologies, ML models, data pipelines, and collaboration with security operations and cloud teams in a fast-paced environment.

You will work with cross-functional stakeholders to drive scalable analytics solutions and help meet mission objectives while maintaining rigorous data quality and security standards.

Qualifications

• 3+ years of experience with data modeling, Jira, machine learning, Python, and SQL.
• Must be legally authorized to work in the United States without the need for employer sponsorship.
• Active Secret security clearance required.

Responsibilities

• Develop and sustain operational technology cyber data ontologies that support analytics, detection, and reporting use cases.
• Build, train, test, and maintain machine learning models for operational technology cyber threat and attack detection.
• Design and maintain data pipelines that move sensor and telemetry data from on-premises environments to cloud platforms.
• Analyze cyber data to identify patterns, anomalies, and indicators that support security operations and mission objectives.
• Collaborate with technical leads, delivery teams, security operations center stakeholders, cloud and data teams, and program management to implement scalable analytics solutions.

Skills

Data modeling

Machine learning

Python

SQL

Team collaboration

Tools

Jira

Job description

Deloitte’s GPS team is seeking a Data Scientist - L45 to build and operate analytics for operational technology cyber data. The role focuses on ontologies, ML models, data pipelines, and collaboration with security operations and cloud teams in a fast-paced environment.

You will work with cross-functional stakeholders to drive scalable analytics solutions and help meet mission objectives while maintaining rigorous data quality and security standards.