Manager, Data Science (Remote, UK, Ireland or Spain)

Overview

In this role you will lead a data science team at the nexus of ML, big data, and security to advance threat detection and agentic AI. You will set technical strategy, mentor researchers, and collaborate with security and product teams to deliver impactful security solutions. You’ll work with CrowdStrike’s massive security data to push AI-driven capabilities and contribute to research and real-world deployment. This is a hands-on leadership position shaping the future of ML in cybersecurity.

Pay / Benefits

• 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
• Vibrant office culture with world class amenities

Responsibilities

• Lead and mentor a team of data scientists, providing technical guidance, career development, and performance management
• Establish technical standards and best practices for ML development, deployment, and monitoring
• Define and drive the technical strategy for machine learning initiatives in threat detection and agentic AI for security
• Lead ML projects from initial research through production deployment, ensuring successful delivery and measurable impact
• Plan and prioritize team roadmaps, balancing research innovation with delivery of production ML systems
• Stay current with emerging trends in ML and cybersecurity, and evaluate new technologies for potential adoption
• Collaborate with cross-functional teams including security research, engineering, and product to align ML capabilities with business objectives
• Partner with security domain experts to identify high-impact opportunities where ML can enhance threat detection and response
• Communicate complex technical concepts and ML insights to stakeholders across the organization
• Guide the development of advanced models for malware detection, behavioural threat analysis, and AI-driven security automation
• Drive research initiatives that result in publications, blog posts, patents, and other contributions to the ML and security communities
• Contribute to hands-on technical work when needed, maintaining deep expertise in ML systems and security applications

Key requirements

• Advanced degree (Master’s or PhD) in Computer Science, Data Science, Mathematics, Physics, or related STEM field, OR Bachelor’s degree with equivalent experience
• 5+ years of experience in data science and machine learning, with at least 2 years in a technical leadership or team lead capacity
• Proven track record of leading ML projects from research to production deployment
• Strong understanding of cybersecurity concepts, threat landscape, and security operations
• Programming proficiency in Python and experience with ML frameworks and big data technologies
• Experience mentoring and developing data scientists and ML engineers
• Demonstrated ability to collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders

• Leadership and people management
• Strategic thinking
• Effective communication with non-technical stakeholders
• Python programming
• ML frameworks (e.g., TensorFlow, PyTorch)
• Big data technologies

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