Manager - Data Science / Data Lake

Manager role focused on designing and modernizing cyber data, analytics, and security operations capabilities for clients, applying AI/ML and data engineering to cybersecurity use cases like detection engineering and threat hunting. Requires experience with cyber data platforms, cloud technologies, and AI development tools.

What you'd actually do

  1. Supporting the design and modernization of cyber data, analytics, and security operations capabilities for client environments
  2. Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity use cases such as detection engineering, threat hunting, and response acceleration
  3. Working with cyber data platforms, cloud technologies, and telemetry sources to improve visibility, analysis, and operational decision-making
  4. Contributing to strategy, design, and implementation workstreams across cyber transformation engagements
  5. Preparing analyses, client deliverables, and recommendations while coordinating with cross-functional stakeholders and project team members

Skills

Required

  • analytics consulting
  • cybersecurity analytics
  • security operations
  • artificial intelligence development tools
  • vector databases
  • LangChain
  • CrewAI
  • Python
  • SQL
  • R
  • SAS
  • data preparation
  • feature engineering
  • data visualization
  • machine learning workflows
  • cyber security cloud platforms
  • Google SecOps
  • AWS
  • Azure
  • SOC threat hunting
  • incident response

Nice to have

  • enterprise data science solutions
  • enterprise artificial intelligence solutions
  • detection engineering
  • threat response acceleration
  • parsing and normalizing cyber or information technology telemetry datasets
  • PyTorch
  • Keras
  • TensorFlow
  • Scikit-learn
  • NumPy
  • SciPy
  • Apache Kafka
  • Storm
  • Spark
  • client-ready materials
  • Microsoft PowerPoint
  • Microsoft Visio

What the JD emphasized

  • 10+ years of experience in analytics consulting, cybersecurity analytics, security operations, or a combination of these
  • 10+ years of experience with artificial intelligence development tools or frameworks such as vector databases, LangChain, or CrewAI
  • 10+ years of experience using Python, Structured Query Language (SQL), R, or SAS to prepare data for analysis, engineer features, visualize data, or support machine learning workflows
  • Experience working with cyber security cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security operations center (SOC) threat hunting or incident response

Other signals

  • applying artificial intelligence, machine learning, and data engineering methods to cybersecurity use cases
  • design and modernization of cyber data, analytics, and security operations capabilities
  • working with cyber data platforms, cloud technologies, and telemetry sources