Why This Role Stands Out
Leverage your expertise in data science and machine learning to bolster national security missions with a leading defense technology integrator, enjoying a hybrid work environment that fosters collaboration and innovation. This mid-senior role offers significant opportunities for skill development in cybersecurity analytics, working with cutting-edge tools and a reputable organization, making it an excellent next step for ambitious data scientists.
Quick Overview
Job Description
Company Description Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide. Job Description *** This position is contingent upon contract award *** Overview SOSi is seeking a Data Scientist III to support cybersecurity data science and enrichment activities in alignment with our customer.
This role is responsible for applying data science, machine learning, and data engineering techniques to enhance enterprise security monitoring, detection, threat hunting, user and entity behavior analytics, and data correlation services supporting cyber defense operations.
Responsibilities • Develop and apply data science, machine learning, and analytical models to support cyber defense operations • Support security monitoring, threat detection, threat hunting, and User & Entity Behavior Analytics (UEBA) through data enrichment and modeling • Examine and correlate data from multiple disparate sources to generate insights into threats affecting the enterprise • Define input/output requirements, data workflows, and completion criteria for products, data, and deliverables supporting other teams • Support development and integration of data engineering pipelines, automation workflows, and analytical outputs • Apply programming and data analysis techniques using Python, JSON, C++, Java, R, or Scala • Support deployment and operation of solutions using Kubernetes and Docker • Support integration of cyber data models with SIEM and SOAR platforms • Apply MITRE ATT&CK and MITRE D3FEND concepts to support cyber analytical use cases Qualifications • Experience:
- Five (5) or more years of experience in machine learning engineering, data science, data engineering, or software development
- Experience applying machine learning methods to complex data problems
- Experience supporting cyber data models and analytical workflows
- Experience integrating or supporting SIEM and SOAR technologies
- Experience using Kubernetes and Docker
- Experience with programming languages including Python, JSON, C++, Java, R, or Scala
- Experience applying MITRE ATT&CK and MITRE D3FEND concepts in cybersecurity contexts
- Clearance/Suitability:
- Secret (eligible) • Education:
- Master's or PhD in a quantitative field, or equivalent experience
- Certifications:
- Certified Analytics Professional (CAP) Additional Information Work Environment
- Normal office conditions with potential to perform duties in deployed locations.
- Core hours of operation are Monday through Friday, 0600 - 1700.
- May be requested to work evenings and weekends to meet program and contract needs.
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