Qualifications Required: + 2+ years of experience in analytics consulting, cybersecurity analytics, security operations, or a combination of these (including internships and in-school experience) + 1+ years of experience with artificial intelligence development tools or frameworks such as vector databases, LangChain, or CrewAI + 1+ 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 cybersecurity 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. Preferred: + 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 support + 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 The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.