Senior Manager, Data Science

🕒 August 17

🌐 United Kingdom, Spain, +1 more countries – Remote

🇬🇧 United Kingdom – Remote 🇪🇸 Spain – Remote 🇮🇪 Ireland – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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CrowdStrike

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2011

🔒 Cybersecurity

☁️ SaaS

🤖 Artificial Intelligence

Cybersecurity • SaaS • Artificial Intelligence

CrowdStrike is a cybersecurity company that provides cloud-based security services to stop breaches. It is recognized as a leader in endpoint protection, identity and cloud security, and managed detection and response. CrowdStrike's platform, Falcon, integrates artificial intelligence to offer real-time visibility, detection, and protection against sophisticated cyber threats. The company is lauded for its effectiveness in securing networks and data, making it a trusted partner for businesses worldwide.

📋 Description

• Lead and mentor a team of data scientists, providing technical guidance, career development, and performance management • Work with senior leadership to refine and define priorities, identify risks and gaps, support staff and budget planning, and disseminate key milestones to business leaders • Plan and prioritize team roadmaps, balancing research innovation with delivery of production ML systems • Stay current with emerging trends in machine learning and cybersecurity and evaluate new technologies for potential adoption • Collaborate with security research, engineering, product, and other cross-functional teams 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 development of advanced models for malware detection, behavioral threat analysis, and AI-driven security automation • Drive research initiatives resulting in publications, blog posts, patents, and other contributions to ML and security communities • Contribute to hands-on technical work when needed, maintaining deep expertise in ML systems and security applications

🎯 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 • 5+ years in a technical leadership or team lead capacity • Proven track record of leading ML projects from research to production deployment • Demonstrated ability to collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders • Ability to present and work with senior stakeholders in a business, communicate risks and opportunities, and translate business problems into technical objectives • Strong verbal and written communication skills, ability to track multiple projects, and distill key details for regular program management • Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency, and drive business outcomes • Deep expertise in cybersecurity, including experience in threat intelligence, malware analysis, or security operations • Experience with agentic AI systems, LLMs, or autonomous security automation • Track record of working with very large, sparse, high-dimensional datasets in production environments • Experience with advanced ML techniques including semi-supervised learning, online learning, and model optimization for reducing false positives • Strong knowledge of ML operations, including model monitoring, A/B testing, and production ML infrastructure • Comfortable working in cloud environments (AWS) and Linux systems • Proven ability to set technical vision and drive innovation in ML systems • Experience hiring, building, and scaling high-performing data science teams • Strategic mindset with ability to balance research exploration with pragmatic 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 build connections • Vibrant office culture with world class amenities • Great Place to Work Certified™ across the globe