CrowdStrike · 9 hours ago
Director of Data Science - NGSiem AI Engineering
CrowdStrike is a global leader in cybersecurity, seeking an innovative and visionary Director of Data Science to lead their Generative AI initiatives for the NGSiem product line. This role involves defining and executing the data science strategy to enhance threat detection and incident response capabilities through AI-driven solutions.
Artificial Intelligence (AI)Cloud Data ServicesCloud SecurityCyber SecurityNetwork Security
Responsibilities
Partner with product management to define and plan the data science strategy for GenAI initiatives for NGSiem, translating business needs into impactful AI solutions
Drive innovation in AI/ML methodologies specifically tailored for complex cybersecurity use cases, pushing the boundaries of what's possible in threat detection and response
Foster strong collaboration to drive leadership alignment on strategic investments required to meet ambitious business objectives
Establish best practices and build foundational components to facilitate reuse, rapid iteration, and accelerated go-to-market for AI-powered features
Lead all data science efforts for NGSiem to significantly advance detection, triage, and proactive threat hunting capabilities through AI
Establish rigorous accuracy standards and SLAs, incorporate industry best practices, and build robust tools for evaluating and continuously improving model efficacy
Develop and implement advanced engineering and modeling methodologies for the iterative improvement of AI model accuracy and performance at scale
Design and build intelligent AI agents and optimize ML models to automate a broad spectrum of security use cases, including but not limited to detection management, sophisticated threat hunting and analysis, and rapid response actions
Drive cutting-edge research and implementation of novel approaches for security-specific Natural Language Processing (NLP) and advanced reasoning capabilities
Strategically leverage and actively contribute to enterprise-level AI platforms, ensuring seamless integration and scalability
Lead and grow a world-class team of data scientists, ML engineers, and research scientists
Cultivate a culture of innovation and technical excellence through mentorship and development
Partner with engineering teams to define strategy and ensure seamless execution
Foster collaboration with product, design, and security teams
Stay at the forefront of AI/ML research, particularly in areas relevant to cybersecurity
Drive adoption of state-of-the-art techniques in large language models, multimodal AI, and agentic systems
Establish rigorous experimentation frameworks and A/B testing methodologies
Ensure responsible AI practices, including fairness and explainability
Qualification
Required
PhD in Computer Science, Machine Learning, Statistics, or related quantitative field, OR
Master's degree with 8+ years of relevant industry experience
5+ years of experience leading data science teams in production environments
3+ years of experience with large language models, generative AI, or related technologies
Deep expertise in machine learning, deep learning, and statistical modeling
Extensive experience with LLMs, transformer architectures, and generative AI techniques
Proficiency in Python, R, or similar languages for data science and ML
Experience with ML frameworks (PyTorch, TensorFlow, Hugging Face, etc.)
Experience in MLOps, model deployment, and production ML systems
Experience with cloud platforms (AWS, Azure, GCP) and distributed computing
Knowledge of vector databases, embedding models, and RAG architectures
Proven track record of building and leading high-performing data science teams
Experience managing complex, multi-project initiatives with dependencies
Strong communication skills with ability to present technical concepts to executive leadership
Experience working in fast-paced, high-growth technology companies
Demonstrated ability to translate business requirements into technical solutions
Experience in cybersecurity, threat detection, or security analytics
Background in anomaly detection, fraud detection, or similar security-adjacent domains
Knowledge of cybersecurity frameworks, threat intelligence, and security operations
Experience with time-series analysis, log analysis, or security event correlation
Experience with agentic AI systems, multi-agent frameworks, or autonomous systems
Background in reinforcement learning, particularly for decision-making systems
Experience with model interpretability and explainable AI practices
Experience with real-time ML systems and low-latency inference
Previous experience at a high-growth SaaS or cybersecurity company
Experience with enterprise B2B products and customer-facing AI systems
Background in building AI products that operate at scale (millions of users/events)
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
Company
CrowdStrike
CrowdStrike is a cybersecurity technology firm that provides cloud-delivered protection for cloud workloads, identity, and data.
H1B Sponsorship
CrowdStrike has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (116)
2024 (62)
2023 (91)
2022 (60)
2021 (49)
2020 (22)
Funding
Current Stage
Public CompanyTotal Funding
$1.24BKey Investors
ARK Investment ManagementAccelCapitalG
2022-12-01Post Ipo Equity· $4.6M
2021-01-12Post Ipo Debt· $750M
2019-06-12IPO
Recent News
2026-01-25
Business Insider
2026-01-24
2026-01-23
Company data provided by crunchbase