Data Scientist

Booz Allen Hamilton

Quick summary

Work type: On-site
Location: McLean, VA
Salary: $69,400–$158,000 / yr
Posted: 38 days ago
Closes: Jul 28, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $171k

This role $114k

$51k most similar roles pay here $238k

This role pays less than 95% of similar roles. Most pay $126,800–$214,500 — the shaded band above. At the midpoint, this role pays about $114k versus about $171k for comparable roles.

Based on 240 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 375 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 368 roles with salary data.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · Data Scientist

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As an advanced data scientist on our Security team, you will leverage your expertise in mathematics and programming to perform complex data exploration and analytics projects. You’ll apply innovative AI methodologies to solve real-world problems, working collaboratively with a team dedicated to critical missions. Your daily tasks include developing ML operations pipelines, deriving variational inference procedures mathematically, and implementing them using frameworks like PyTorch or TensorFlow. Ideal candidates have experience in areas such as computer vision, natural language processing, and learning on graphs, along with the ability to rapidly learn new technical domains and apply them to machine learning challenges. Knowledge of cloud systems like AWS is a plus, ensuring you can contribute effectively to shaping the future of analytics while advancing your career through access to cutting-edge tools and opportunities for publication or conference presentation.

Skills

Python PyTorch TensorFlow Numpy machine learning computer vision natural language processing learning on graphs AWS

What you'll do

Develop and implement advanced machine learning models using Python and frameworks like PyTorch.
Apply mathematical theories to derive variational inference procedures for novel models.
Rapidly learn new technical domains and apply them to solve complex machine learning problems.
Collaborate on data exploration and analytics projects to provide actionable insights for clients.
Guide a team in applying AI methodologies to improve government processes and public services.
Publish or present research findings at conferences, contributing to the advancement of data science.

What we're looking for

Experienced in coding with Python for data science projects.
Proficient in machine learning operations pipelines and frameworks like PyTorch or TensorFlow.
Strong background in mathematics, statistics, probability theory, and linear algebra.
Capable of deriving variational inference procedures mathematically and implementing them.
Skilled at bridging theoretical knowledge with practical applications in real-world scenarios.
Rapid learner in new technical domains relevant to machine learning challenges.

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