Data Scientist, CrowdStrike

• Undergraduate or post-graduate degree in a STEM field
• Extensive post/undergraduate experience in data science, machine learning, or any field employing computational science or data driven analyses
• Programming experience in Python
• 2+ year’s experience working on real world machine learning models and pipelines

Desirable

• CrowdStrike’s CTO Labs team is expanding -- we are at the exciting intersection of Machine Learning, Big Data, and Security and are looking to add a Data Scientist specializing in machine learning to our growing team
• You will have the opportunity to apply your coding, mathematical and scientific research skills to the bleeding edge of security technology
• You’ll be able to leverage large-scale rich data to meaningfully improve our supervised learning models and refine our identification of malicious computer software and behavioral threats
• CrowdStrike’s cybersecurity data is one-of-a-kind: we process nearly a trillion behavioral events per day and have over 2000 terabytes of malware samples in our research repository
• We are a cross-functional team with deep expertise in Machine Learning, Big Data, and Security
• Mine large scale and high dimensional data, identify patterns, and visualize trends
• Create predictive models using supervised learning techniques to detect and stop the most sophisticated threats
• Innovate new semi-supervised and online learning techniques to enhance our threat detection capabilities and reduce nuisance false positives for our customers
• Work closely with domain experts to improve our raw data and to derive more value from data collected
• Hone your ability to balance detail-oriented research with goal-oriented business objectives
• Implement and experiment with new algorithms and methodologies to help improve our machine learning models
• Automate and visualize analyses, results and processes in our machine learning pipeline

• Expected Close Date of Job Posting is:08-16-2025