Sr. Data Scientist, CharlotteAI - (Remote, ROU)

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.

About the Role

CrowdStrike is seeking a Senior Data Scientist to provide technical leadership within our Charlotte AI team. In this role, you'll architect and drive the development of next-generation AI solutions while mentoring team members and shaping the technical direction of our AI-powered security analyst platform. You'll leverage your extensive experience to tackle our most complex challenges, lead research initiatives, and help scale Charlotte AI's capabilities across the Falcon Platform.

You'll work at the intersection of advanced AI/ML research and practical cybersecurity applications. You'll have access to vast, proprietary security datasets, significant GPU computing infrastructure, and the opportunity to see your innovations directly impact how organizations defend against cyber threats. This position combines the intellectual rigor of research with the satisfaction of building production systems that protect millions of users worldwide.

About Charlotte AI

Charlotte AI is CrowdStrike's pioneering generative AI security analyst, representing over a decade of AI innovation in cybersecurity. Using recent advances in Large Language Models, Charlotte AI empowers users of all skill levels to leverage the vast data available in the Falcon Platform while reducing security operations complexity and cost. It's a first-of-its-kind offering that transforms how security teams investigate threats, analyze incidents, and protect their organizations.

Learn more about Charlotte AI: https://www.crowdstrike.com/products/charlotte-ai/

What You'll Do

• Lead the architecture and development of complex LLM-based solutions, defining technical approaches and best practices for integration into Charlotte AI

• Drive research initiatives to expand Charlotte AI's capabilities, including novel approaches to security-focused AI/ML challenges

• Mentor junior data scientists and provide technical guidance across teams to elevate the overall quality of ML solutions

• Architect and optimize large-scale training pipelines for custom LLMs, ensuring production readiness and performance

• Implement mechanistic explainability and interpretability features to ensure Charlotte AI's recommendations are transparent and trustworthy for security professionals

• Collaborate with engineering teams to translate ML innovations into scalable, fault-tolerant microservices using modern cloud technologies

• Design and implement robust evaluation frameworks for model performance and security

• Work with massive-scale security data (processing 3 trillion events daily) to extract actionable insights and identify emerging threat patterns

• Partner with product managers and security experts to align model capabilities with real-world security operations needs

• Drive technical decision-making for ML infrastructure and tooling choices

• Contribute to the broader ML community through publications, patents, and open-source contributions while maintaining CrowdStrike's thought leadership in AI-powered security

What You'll Need

• 7+ years of applied machine learning experience developing and deploying production ML systems

• Strong foundation in ML, including LLMs, deep learning, transformer architectures and state-of-the-art NLP techniques

• Hands-on experienc