As an advanced data scientist on our national security team, you will lead complex analytics projects for the Department of Defense by applying your expertise in machine learning, artificial intelligence, and statistical analysis to evaluate AI methodologies and enhance strategic intelligence. Your daily tasks include continuous auditing, testing, evaluation, verification, and validation (TEVV) of AI systems, developing modular and scalable testing libraries using object-oriented programming, and creating automated data input modules for synthetic data generation. You will work independently on classified networks, ensuring high-integrity datasets are maintained for rigorous testing and evaluation. This role requires a strong background in mathematics, statistics, information science, and machine learning, along with experience in CI/CD pipelines and AI risk mitigation, to guide critical missions from start to finish.
Skills
Python
Java
R
C++
CI/CD
Terraform
Git
Docker
Kubernetes
PostgreSQL
MySQL
MongoDB
TensorFlow
PyTorch
Scikit-learn
Spark
MLOps
TEVV
AI风险管理
数据可视化工具
统计学方法
What you'll do
Evaluate AI methodologies to enhance real-world impact on strategic intelligence.
Develop continuous auditing, testing, evaluation, verification, and validation (TEVV) procedures for AI systems.
Create automated data input modules and synthetic data generation tools for rigorous testing.
Manage high-integrity datasets for accurate testing and evaluation of AI models.
Visualize complex technical findings into clear narratives for non-technical leadership.
Work independently on classified networks supporting Department of Defense clients.
What we're looking for
8+ years of experience in correlating complex technical findings into various narrative products.
Proficient in object-oriented programming (OOP) and functional programming for building scalable testing libraries.
Experience with CI/CD pipelines, including AI/ML validation processes.
Expertise in automated data input modules and synthetic data generation for high-integrity datasets.
Ability to work independently on classified networks supporting DoD or IC clients.
Strong visualization skills for complex data and concepts, presenting system risks clearly to non-technical leadership.
Market check
Salary context
This
$99,000–$225,000
range sits above
68%
of similar postings on FindRole.
Peer median band
$99,000–$192,400
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$126,800–$178,431
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
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
627 open roles
on FindRole.
Listed pay typically runs
$86,800–$198,000
across 614 roles with salary data.
Python
TypeScript
JavaScript
C++
CI/CD
Terraform
Kubernetes
Docker
PostgreSQL
Git
Agentic AI LLM systems
RAG architectures
Vector databases
Contextual memory systems
Modern web test automation frameworks
Large-scale monorepo environments
Performance optimization
Debugging
Reliability engineering
IDA_Pro
Ghidra
Binary_Ninja
x32dbg
x64dbg
gdb
WinDbg
C
C++
Python
Go
Java
PE_file_format
ELF_file_format
Mach-O_file_format
Wireshark
netcat
Frida
QEMU
Unicorn_Engine
AI
ML