Senior Data Scientist

Employment Type: Full time

Position Overview

CrowdStrike, a global leader in cybersecurity, is seeking an experienced Senior Data Scientist to join its expanding Data Science team. This role involves leading cutting-edge AI/ML research initiatives at the intersection of cybersecurity and advanced machine learning. The focus will be on mechanistic explainability, self-supervised learning, representation learning, and innovations that extend beyond current generative AI capabilities.

As part of the team, you will benefit from unique advantages, blending research depth with industry impact. You will have access to vast, proprietary datasets, significant GPU computing infrastructure for in-house LLM training, and the opportunity to see your research directly impact real-world cybersecurity challenges. You will join a team at the forefront of state-of-the-art generative AI solutions while also helping to define future AI innovation. The environment encourages publication in top-tier journals and conferences, alongside the satisfaction of seeing innovations deployed at scale.

The diverse team comprises professionals from varied backgrounds, united by a passion for advancing AI in cybersecurity. Whether your experience comes from research institutions, consulting, or industry roles, your unique perspective is valued. You will work alongside fellow PhDs and experienced practitioners in a culture that values intellectual curiosity and breakthrough thinking. A robust patent incentivization program rewards innovative thinking and intellectual property development. This inclusive environment makes CrowdStrike an ideal place for talented individuals from diverse professional backgrounds interested in fundamental AI research and its practical applications.

Responsibilities

• Lead research initiatives in mechanistic explainability, self-supervised learning, and representation learning to advance fundamental AI capabilities for cybersecurity applications.
• Develop novel machine learning architectures that move beyond current generative AI paradigms, creating more robust, transparent, and efficient models for complex multimodal cybersecurity data.
• Analyze diverse, high-dimensional datasets to discover latent patterns and extract meaningful insights from massive unlabeled data.
• Develop rigorous experimental frameworks and evaluation methodologies to validate theoretical advances across dimensions of performance, interpretability, robustness, and generalization in real-world cybersecurity contexts.
• Collaborate with Engineering teams to translate research breakthroughs into practical, deployable solutions.
• Publish findings in top-tier academic journals and present at leading conferences to advance the field.
• Create and file patents for novel methodologies and technologies developed during research.
• Engage with the broader research community to exchange ideas and stay current with cutting-edge developments.
• Mentor junior researchers and foster a collaborative environment.

Company Information

CrowdStrike protects the people, processes, and technologies that drive modern organizations. Since 2011, our mission has been to stop breaches, redefining modern security with the world's most advanced AI-native platform. Our customers span all industries, relying on CrowdStrike to keep their businesses running, their communities safe, and their lives moving forward. We are a mission-driven company that cultivates a culture of flexibility and autonomy, allowing every CrowdStriker to own their careers. We are always looking for talented individuals with limitless passion, a relentless focus on innovation, and a fanatical commitment to our customers, community, and each other. The future of cybersecurity starts with you.