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 · 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) 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. Working at SOSi All interested individuals will receive consideration and will not be discriminated against for any reason.

Requirements

Must-haves

This position is contingent upon contract award ***
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
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
Secret (eligible)
Master’s or PhD in a quantitative field, or equivalent experience
Certified Analytics Professional (CAP)
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.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningpythonjavakubernetesdocker

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