Cybersecurity Data Scientist

Booz Allen Hamilton

Quick summary

Work type: On-site
Location: McLean, VA
Salary: $77,600–$176,000 / yr
Posted: 5 days ago
Closes: Aug 27, 2026
Nearby: 99+ roles within 25 mi

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Competitive pay

How this pay compares to similar roles

Similar $155k

This role $127k

$64k most similar roles pay here $200k

This role pays less than 64% of similar roles. Most pay $126,800–$183,526 — the shaded band above. At the midpoint, this role pays about $127k versus about $155k for comparable roles.

Based on 239 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 702 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 693 roles with salary data.

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At a glance

TL;DR · Cybersecurity Data Scientist

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As a Cybersecurity Data Scientist at Booz Allen Hamilton’s Enterprise Cybersecurity team, you will design and operationalize data-driven solutions to enhance prevention, detection, response, and recovery outcomes. Your daily tasks include building custom AI/ML models for cybersecurity, such as supervised and unsupervised detection systems, anomaly analytics, NLP on security text, and LLM-assisted analyst tooling. You’ll engineer scalable data pipelines over various telemetry sources, apply rigorous evaluation methods to validate model performance, and integrate these solutions into security tools like SIEM, SOAR, and EDR. The role requires expertise in Python, SQL, PyTorch or TensorFlow, Hugging Face, LangChain, MLflow, and Kubernetes for CI/CD, along with a strong background in cybersecurity and AI governance. This position addresses critical enterprise infrastructure needs by driving innovative security solutions at scale.

Skills

Python SQL PyTorch TensorFlow scikit-learn Hugging Face LangChain pgvector OpenSearch Pinecone Milvus MLflow Weights and Biases SageMaker Vertex AI Kubeflow CI/CD MLOps FedRAMP IL4/5 HIPAA PCI Go PowerShell Bash SIEM SOAR UEBA CCSP CISSP GDPR CCPA

What you'll do

Design and deploy custom AI/ML solutions for cybersecurity use cases.
Engineer scalable data pipelines to produce high-quality datasets for security analytics.
Apply rigorous evaluation methods to validate model performance in cybersecurity contexts.
Integrate ML capabilities into security tools, enhancing detection and response playbooks.
Develop automation and infrastructure-as-code for repeatable ML pipeline deployments.
Lead cross-functional efforts to mature AI-enabled cybersecurity capabilities and practices.

What we're looking for

5+ years of experience in data science, machine learning engineering, or applied AI.
3+ years leading cross-functional ML initiatives in cybersecurity or security operations.
Experience designing and implementing AI/ML solutions over enterprise security telemetry.
Proficiency with Python and SQL for security and AI/ML use cases, including version control.
Expertise in modern AI/ML stack tools like PyTorch, TensorFlow, scikit-learn, Hugging Face.
Experience operationalizing AI/ML systems using MLOps practices and tools.