CrowdStrike

Data Scientist III

CrowdStrike

full-time

Posted on:

Origin:  • 🇷🇴 Romania

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Job Level

Mid-LevelSenior

Tech Stack

CloudCyber SecurityPython

About the role

  • Lead and architect the research strategy for Applied GenAI initiatives, establishing technical standards and frameworks for enterprise-wide implementation
  • Drive innovation in GenAI applications across business units, developing novel approaches for diverse use-cases while ensuring consistent quality and performance
  • Make strategic decisions about GenAI model architectures, training approaches, and deployment strategies that can scale across the organisation
  • Mentor and guide Data Scientists while fostering a culture of excellence and knowledge sharing across teams
  • Lead cross-functional initiatives to standardise GenAI practices, collaborating with senior leadership to align technical strategy with business goals and ensure successful adoption
  • Represent CrowdStrike's technical excellence through publications, speaking engagements, and thought leadership
  • Establish best practices, technical standards, and evaluation frameworks for GenAI implementation that can be adopted company-wide
  • Design and implement processes for democratising GenAI capabilities, making them accessible and usable across different teams and skill levels
  • Create documentation, guidelines, and training materials to enable successful GenAI adoption throughout the organisation

Requirements

  • Advanced degree (PhD or Masters) in Computer Science, Data Science, or a related field
  • 5+ years of applied machine learning / research experience, with demonstrated leadership in developing production-grade models
  • Deep expertise in LLM training / deployment at scale
  • Strong technical leadership experience, including mentoring teams and driving technical strategy
  • Advanced knowledge of Python, Deep Learning frameworks, and cloud technologies
  • Expert-level understanding of GPU technologies and optimisation techniques
  • Outstanding communication skills with ability to influence senior stakeholders
  • Track record of solving complex technical challenges at scale
  • Bonus: Patents or significant intellectual property contributions in AI
  • Bonus: Strong research portfolio with publications in leading AI journals and conferences
  • Bonus: Experience with cybersecurity applications of machine learning
  • Bonus: Track record of successful research-to-production implementations at scale
  • Bonus: History of contributions to open-source ML projects