Data Scientist III
At a glance
Mid-level Data Science role at SOSi. Washington · full-time · no salary stated · we estimate $124,650–$151,250.
SOSi has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Build analytical and machine-learning models that help cyber defense teams monitor activity and detect threats
- Enrich and compare information from separate sources to surface threats affecting the enterprise
- Set data and workflow requirements, including completion standards, for products and deliverables used by other teams
- Help create data pipelines and automation, then support their use with Kubernetes and Docker
- Connect cyber data models to SIEM and SOAR tools and apply MITRE frameworks to analytical use cases
What you bring
- At least five years in machine-learning engineering, data science, data engineering or software development
- A master’s or PhD in a quantitative discipline, or equivalent experience
- Hands-on experience with machine learning, cyber data models, SIEM or SOAR, Kubernetes and Docker
- Programming experience with Python, JSON or another listed language, plus use of MITRE ATT&CK and D3FEND in cybersecurity
Who this fits
This role suits someone who can apply data science and engineering to cyber defense workflows. You need to be eligible for a Secret clearance and hold the Certified Analytics Professional credential. The position is hybrid in Washington, with weekday core hours and possible evening or weekend work; duties may also take place in deployed locations. The role depends on a contract award.
From the employer
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.
*** 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.
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