Required:

5 years of data science, analytics, or SIEM content development experience with a Bachelor's degree in a STEM field or Business Administration; 11 years of relevant experience may substitute for degree.
Must meet TESA Qualifications.
DoD 8140 - Cybersecurity (Cyber Defense Analyst) - Intermediate
Certifications - must hold active certifications (one of the following):
- GDAT (GIAC Defending Advanced Threats); OR
- GDSA (GIAC Defensible Security Architecture); OR
- Elastic Certified Analyst or Engineer; OR
- ArcSight Enterprise Security Manager Advanced Analyst Certified Expert; OR
- Microsoft Certified: Cybersecurity Architect Expert; OR
- Azure DevOps Engineer Expert; OR
- TCM Security PNPT
U.S. citizenship required
Active DoD TS/SCI clearance

Preferred:

Deep expertise with Elastic Stack (Elasticsearch, Logstash, Kibana, Beats) for SIEM content development and data pipeline management
Proficiency with Splunk SPL for advanced search, correlation rule development, and dashboard creation
Strong Python skills for data processing, algorithm development, and automation scripting
Familiarity with machine learning frameworks (e.g., scikit-learn, TensorFlow) for anomaly detection use cases
Experience with Kibana or Grafana for building operational security dashboards and visualizations
Knowledge of KQL (Kusto Query Language) for Microsoft Sentinel or Azure Log Analytics environments
Familiarity with ArcSight ESM for content development and event correlation in enterprise environments
Experience with threat intelligence platforms (e.g., MISP, OpenCTI) for converting intelligence into detection content

Peraton is hiring a Content Developer (Data Scientist) for its' Regional Cyber Center-Europe program.

Location: On-site, Wiesbaden, Germany

Potentially 2nd/3rd Shift work

Responsibilities:

Develop, tune, and maintain SIEM detection content including correlation rules, alerts, and watch-listsin Elastic and/or Splunk to improve threat detection fidelity across CSSP monitoring systems
Design and build automated data analytics pipelines that ingest, normalize, and process large volumes of security telemetry to support real-time and historical threat analysis
Create custom algorithms and machine learning models for anomaly detection, behavioral base-lining, and advanced threat identification within DoD network environments
Develop interactive dashboards and data visualizations in Kibana, Splunk, or similar platforms that provide actionable situational awareness for analysts and leadership
Conduct metrics analysis to measure CSSP operational performance, detection coverage, and response effectiveness, producing regular reports for program management and government stakeholders
Support threat intelligence content development by translating finished intelligence products into actionable SIEM queries, detection signatures, and automated response playbooks