Sr. Data Scientist II (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. 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 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

Benefits of Working at CrowdStrike:

• Remote-friendly and flexible work culture

• Market leader in compensation and equity awards

• Comprehensive physical and mental wellness programs

• Competitive vacation and holidays for recharge

• Paid parental and adoption leaves

• Professional development opportunities for all employees regardless of level or role

• Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections

• Vibrant office culture with world class amenities

• Great Place to Work Certified™ across the globe

CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.

CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements.

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