Senior Manager, Data Science

🕒 il y a 2 mois

🌐 Royaume-Uni, Espagne, +1 autres pays – Distant

🇬🇧 Royaume-Uni – Télétravail 🇪🇸 Espagne – Télétravail 🇮🇪 Irlande – Télétravail

⏰ Temps Plein

🟠 Senior

📊 Data Scientist

🇬🇧 Parrain de Visa de Travailleur Qualifié UK

Cette entreprise a parrainé des visas de Travailleur Qualifié du Royaume-Uni par le passé.

👻 Score fantôme 22%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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CrowdStrike

Site WebLinkedInTous les Emplois

5001 - 10000 employés

Fondée en 2011

🔒 Cybersecurity

☁️ SaaS

🤖 Intelligence artificielle

Cybersecurity • SaaS • Artificial Intelligence

CrowdStrike est une société de cybersécurité qui fournit des services de sécurité cloud pour mettre fin aux intrusions. Reconnue comme un leader de la protection des endpoints, de la sécurité des identités et du cloud, et du Managed Detection and Response (MDR), CrowdStrike propose la plateforme Falcon, qui intègre l’intelligence artificielle pour offrir une visibilité, une détection et une protection en temps réel contre des cybermenaces sophistiquées. L’efficacité de l’entreprise à sécuriser les réseaux et les données en fait un partenaire de confiance pour les entreprises du monde entier.

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

🎯 Exigences

• 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

🏖️ Avantages

• 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