Senior Manager, Data Science

This is a fully remote position, open to applicants in United Kingdom, +2 more countries.

📋 Description

• Lead and mentor a team of data scientists, offering technical guidance, career development, and performance management.

• Collaborate with senior leadership to refine and establish priorities, identify risks and gaps, support staffing and budget planning, and communicate key milestones to business leaders.

• Strategically plan and prioritize team roadmaps, balancing research innovation with the delivery of production ML systems.

• Keep abreast of emerging trends in machine learning and cybersecurity, assessing new technologies for potential integration.

• Work in partnership with security research, engineering, product, and other cross-functional teams to align ML capabilities with business goals.

• Collaborate with security domain experts to pinpoint high-impact opportunities where ML can improve threat detection and response.

• Articulate complex technical concepts and ML insights to stakeholders throughout the organization.

• Oversee the development of advanced models for malware detection, behavioral threat analysis, and AI-driven security automation.

• Propel research initiatives that lead to publications, blog posts, patents, and other contributions to the ML and security communities.

• Engage in hands-on technical work as necessary, maintaining deep expertise in ML systems and security applications.

⛳️ Requirements

• Advanced degree (Master’s or PhD) in Computer Science, Data Science, Mathematics, Physics, or a related STEM field, OR a Bachelor’s degree with equivalent experience.

• 5+ years of experience in data science and machine learning.

• 5+ years in a technical leadership or team lead role.

• Demonstrated success in leading ML projects from research through to production deployment.

• Proven ability to collaborate with cross-functional teams and convey technical concepts to non-technical stakeholders.

• Capacity to present and engage with senior stakeholders in a business context, communicate risks and opportunities, and translate business challenges into technical objectives.

• Exceptional verbal and written communication skills, adept at managing multiple projects and distilling key details for regular program management.

• Proven experience leveraging AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency, and drive business results.

• Extensive expertise in cybersecurity, including experience with threat intelligence, malware analysis, or security operations.

• Experience with agentic AI systems, LLMs, or autonomous security automation.

• Proven track record of working with very large, sparse, high-dimensional datasets in production environments.

• Familiarity with advanced ML techniques including semi-supervised learning, online learning, and model optimization for reducing false positives.

• Strong knowledge of ML operations, encompassing model monitoring, A/B testing, and production ML infrastructure.

• Comfortable operating in cloud environments (AWS) and Linux systems.

• Proven capability to set a technical vision and drive innovation in ML systems.

• Experience in hiring, building, and scaling high-performing data science teams.

• Strategic mindset with the ability to balance research exploration with practical business outcomes.

• Published research, patents, or contributions to the ML or security communities.

🏝️ 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, regardless of level or role.

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

• Vibrant office culture with world-class amenities.

• Great Place to Work Certified™ across the globe.