Senior AI/ML Data Scientist – Cybersecurity Ops

CrowdStrike; United States; On-site; USD 140,000 - 215,000; Full time

Benefits offered by this job

Equity awards

Wellness programs

Generous vacation

Parental leave

Professional development

Job summary

CrowdStrike is seeking a Senior Data Scientist to design, build, and deploy advanced AI systems within the NGSIEM Agentic AI team. You will develop models for anomaly detection, event classification, ranking, correlation, and automated security reasoning.

You will own end-to-end AI/ML architecture, drive innovation across LLMs, vector search and AI workflows, and balance quality with latency, cost and security impacts. Strong collaboration with product and security teams is essential.

Qualifications

• 8+ years of experience building and scaling large-scale AI/ML, search, and ranking systems in cybersecurity.
• Deep expertise in semantic retrieval, vector search, ranking, and NLP/LLMs.
• Experience with large-scale production systems, latency and cost constraints.
• Proven ability to influence executive stakeholders and drive technical decisions.

Responsibilities

• Design, build and deploy advanced AI systems analyzing millions of security events per second.
• Own end-to-end AI/ML architecture including data pipelines, model development and monitoring.
• Lead architecture for retrieval, ranking, vector search, RAG, and anomaly detection at enterprise scale.

Skills

AI/ML leadership

Semantic retrieval

Vector search

NLP/LLMs

Go/Python/SQL

Experimentation frameworks

Communication

Cross-functional collaboration

Education

MS/PhD or equivalent in CS/Stats/Physics

Tools

Spark

Kafka

S3

Iceberg

Parquet

Job description

CrowdStrike is seeking a Senior Data Scientist to design, build, and deploy advanced AI systems within the NGSIEM Agentic AI team. You will develop models for anomaly detection, event classification, ranking, correlation, and automated security reasoning.

You will own end-to-end AI/ML architecture, drive innovation across LLMs, vector search and AI workflows, and balance quality with latency, cost and security impacts. Strong collaboration with product and security teams is essential.