Senior Consultant - Data Science / Data Lake
- Supporting the design and modernization of cyber data, analytics, and security operations capabilities for client environments
- Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity use cases such as detection engineering, threat hunting, and response acceleration
- Working with cyber data platforms, cloud technologies, and telemetry sources to improve visibility, analysis, and operational decision-making
- Contributing to strategy, design, and implementation workstreams across cyber transformation engagements
- Preparing analyses, client deliverables, and recommendations while coordinating with cross-functional stakeholders and project team members
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
- 3+ years of experience in analytics consulting, cybersecurity analytics, security operations, or a combination of these
- 2+ years of experience with artificial intelligence development tools or frameworks such as vector databases, LangChain, or CrewAI
- 2+ 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
- Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or a field aligned to the role; or 4 years of equivalent professional experience
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
- Experience supporting the design, development, or deployment of enterprise data science or artificial intelligence solutions
- Experience applying artificial intelligence, machine learning, or advanced data engineering to cybersecurity use cases such as detection engineering or threat response acceleration
- Experience parsing and normalizing cyber or information technology telemetry datasets
- Experience with PyTorch, Keras, TensorFlow, Scikit-learn, NumPy, or SciPy
- Experience with Apache Kafka, Storm, or Spark
- Experience creating client-ready materials using Microsoft PowerPoint or Microsoft Visio
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