Senior Data Scientist – GenAI

🕒 July 29

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

🇬🇧 United Kingdom – Remote 🇪🇸 Spain – Remote 🇷🇴 Romania – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

🇬🇧 UK Skilled Worker Visa Sponsor

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

👻 Ghost score 10%

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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 architect the research strategy for applying AI to cybersecurity. • Drive innovation in AI applications, including novel approaches to reasoning, summarisation, and interactivity • Make strategic decisions about GenAI model architectures, training approaches, and deployment strategies • Implement cutting edge ML/AI research in the context of cybersecurity • Build production ready AI systems that operate at CrowdStrike’s massive scale. • Mentor and guide scientists while fostering a culture of engineering excellence • Lead cross-functional initiatives and collaborate with senior leadership to align technical strategy with business goals • Represent CrowdStrike's technical excellence through publications, speaking engagements, and thought leadership • Establish best practices, technical standards, and evaluation frameworks for the team

🎯 Requirements

• Advanced degree (PhD or Masters) in Computer Science, Data Science, or a related field • 8+ years of applied machine learning / research experience, with demonstrated leadership in developing production-grade models • Deep expertise in LLM and deep learning training and deployment at scale • Have a bias-for-action, ability to make high-judgement decisions, and be comfortable in the face of ambiguity. • 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

🏖️ 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