Data Scientist III (Remote, ROU)

Undelucram.ro on behalf of:

Crowdstrike SRL

About the Role:

CrowdStrike is seeking a Sr Data Scientist II to join our team driving Applied Generative AI Research and establishing enterprise-wide standards for Generative AI implementation. You will work closely with other Scientists, Software Engineers and Product Managers to provide technical leadership and strategic direction, while accelerating the adoption and integration of AI capabilities across the organization.

You will shape the technical vision, mentor team members, and make high-impact decisions that influence the company's AI strategy. This is a unique opportunity to lead groundbreaking developments in Applied Generative AI research and establish frameworks that democratise AI throughout CrowdStrike’s ecosystem. Your work will help standardise and scale GenAI applications across various business units, revolutionising how we leverage AI in the cybersecurity space. This opportunity presents a dynamic, growth-oriented startup environment for a driven, research-focused professional who can bridge the gap between cutting-edge AI research and practical enterprise implementation.

What You’ll Do:

• 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
  
  

What You’ll Need:

• 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 if You Have:

• Patents or significant intellectual property contributions in AI
• Strong research portfolio with publications in leading AI journals and conferences
• Experience with cybersecurity applications of machine learning
• Track record of successful research-to-production implementations at scale
• History of contributions to open-source ML projects