Cyber Data Scientist, Analytics and Insights

This role focuses on developing and sustaining data products for OT cybersecurity missions, specifically improving cyber threat detection and response using machine learning models and data engineering. The candidate will be the primary data science resource, collaborating with various stakeholders to advance analytic capabilities.

What you'd actually do

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

Skills

Required

  • machine learning model development
  • data engineering
  • OT cyber analytics
  • threat detection and response
  • Python or other relevant programming languages
  • SQL
  • cloud platforms (AWS, Azure, GCP)
  • data pipelines
  • cybersecurity concepts

Nice to have

  • experience with OT environments
  • experience with SIEM tools
  • experience with threat intelligence platforms

What the JD emphasized

  • machine learning model development
  • OT cyber analytics
  • threat detection and response
  • Active Secret security clearance required

Other signals

  • machine learning model development
  • data engineering
  • OT cyber analytics
  • threat detection and response