Sr. Data Scientist (Hybrid)

As a global leader in cybersecurity CrowdStrike protects the people processes and technologies that drive modern organizations. Since 2011 our mission hasnt changed were here to stop breaches and weve redefined modern security with the worlds most advanced AI-native platform. We work on large scale distributed systems processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries and they count on CrowdStrike to keep their businesses running their communities safe and their lives moving forward. Were also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. Were always looking to add talented CrowdStrikers to the team who have limitless passion a relentless focus on innovation and a fanatical commitment to our customers our community and each other. Ready to join a mission that matters The future of cybersecurity starts with you.

About the Role:
CrowdStrike is seeking an exceptional Senior Data Scientist to join our NGSIEM Agentic AI this role you will design build and deploy advanced AI systems that analyze and prioritize millions of security events per second enabling organizations to rapidly identify and respond to emerging threats. You will develop intelligent models for anomaly detection event classification ranking correlation and automated security reasoning. As a key contributor you will take ownership of complex technical challenges drive innovation across the AI stack and help shape the next generation of AI-powered security operations.

This is a hybrid role based out of our office in Sunnyvale CA requiring 2 days per week on-site.

What Youll Do:

AI Search & Retrieval Strategy

• Lead the architecture and technical strategy for large-scale retrieval ranking vector search RAG and anomaly detection systems operating at enterprise scale.

• Drive innovation across LLMs AI-powered discovery personalization and autonomous AI workflows.

• Define the future direction of AI-driven reasoning ranking and investigation capabilities across the platform.

AI/ML Architecture & Technical Leadership

• Own end-to-end AI/ML architecture including data pipelines feature engineering model development deployment monitoring evaluation and continuous improvement.

• Establish scalable architecture patterns engineering standards experimentation frameworks and operational best practices across multiple teams.

• Drive foundational investments and technical direction across AI platforms retrieval infrastructure model-serving systems and ML tooling.

• Balance model quality customer experience latency scalability reliability security and infrastructure cost when making architectural decisions.

Product & Business Impact

• Define evaluation methodologies experimentation strategies and success metrics to assess product model and business impact.

• Partner closely with Product Engineering Security Infrastructure and Operations teams to identify high-value opportunities and deliver scalable AI solutions.

• Communicate technical trade-offs recommendations and results clearly to both technical and executive audiences.

Technical Leadership

• Lead highly ambiguous multi-quarter initiatives spanning Product Engineering Data Science and other stakeholders.

• Influence organization-wide technical strategy investment priorities and long-term AI roadmap decisions.

• Represent the organization in executive reviews and drive alignment on major technical and product initiatives.

• Mentor junior scientists while fostering a culture of technical excellence and innovation.

What Youll Need:

• 8 years of experience building and scaling large-scale AI/ML search retrieval ranking in the cybersecurity space.

• MS PhD or equivalent industry experience in Computer Science Statistics Physics or a related quantitative discipline.

• Deep expertise in semantic retrieval vector search ranking systems recommendation systems NLP/LLMs RAG architectures and agentic AI systems.

• Strong understanding of retrieval and ranking trade-offs experimentation methodologies model evaluation and operational excellence.

• Experience operating large-scale production systems with demanding latency scalability reliability and cost requirements.

• Proven track record of delivering measurable business impact through AI and machine learning innovation.

• Experience leading cross-functional initiatives across multiple organizations and stakeholder groups.

• Ability to influence executive stakeholders and drive strategic technical decisions across large organizations.

• Exceptional communication leadership strategic thinking and mentoring skills.

• Strong programming skills in Go Python SQL and modern machine learning ecosystems.

• Experience designing and deploying end-to-end ML solutions including data acquisition feature engineering model development evaluation deployment and monitoring.

• Strong knowledge of experimentation frameworks online evaluation A/B testing causal inference and model validation methodologies.

• Proficiency in Anomaly Detection MITRE entities Detection EngineeringTriage and Investigation.

• Experience with modern AI infrastructure large-scale data processing distributed systems and production ML platforms.

• Ability to communicate data-driven insights uncertainty assumptions and trade-offs to technical and non-technical audiences.

Technologies:

• Python Go SQL Spark Kafka S3 Iceberg Parquet

• Machine Learning Deep/Reinforcement Learning Time-Series Modeling Anomaly Detection Recommendation Systems Ranking Systems

• LLMs RAG Agentic AI Multi-Agent Systems AI Evaluation

• Vector Search Hybrid Search Embeddings Retrieval Systems Knowledge Graphs Ranking & Relevance Optimization

• Kubernetes Distributed Systems Model Serving Feature Stores ML Pipelines Experimentation Platforms Model Monitoring

• Threat Detection Security Analytics UEBA Detection Engineering AI-Powered SOC Workflows

Bonus Points:

• Published research patents open-source contributions or recognized thought leadership in AI machine learning search retrieval or cybersecurity.

• Experience building large-scale search recommendation retrieval or agentic AI systems serving enterprise or consumer products.

• Experience leading technical strategy for AI platforms ML infrastructure or AI-native product initiatives.

• Demonstrated success driving zero-to-one innovation and scaling solutions to enterprise-wide adoption.

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Benefits of Working at CrowdStrike:

• 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

CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.

CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race color creed ethnicity religion sex (including pregnancy or pregnancy-related medical conditions) sexual orientation gender identity marital or family status veteran status age national origin ancestry physical disability (including HIV and AIDS) mental disability medical condition genetic information membership or activity in a local human rights commission status with regard to public assistance or any other characteristic protected by law. We base all employment decisions--including recruitment selection training compensation benefits discipline promotions transfers lay-offs return from lay-off terminations and social/recreational programs--on valid job requirements.

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