Applied Data Scientist

Booz Allen Hamilton

Quick summary

Work type
On-site
Location
Arlington, VA
Salary
$99,000–$225,000 / yr
Posted
5 days ago
Closes
Sep 21, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $156k
This role $162k
$84k most similar roles pay here $240k

This role pays more than 60% of similar roles. Most pay $126,800–$185,650 — the shaded band above. At the midpoint, this role pays about $162k versus about $156k 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 729 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 717 roles with salary data.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · Applied Data Scientist

Join our dynamic team as an Applied Data Scientist where you will design, develop, and deploy machine learning and AI-driven solutions to real-world problems. You’ll collaborate closely with clients to translate their needs into technical specifications, build robust data pipelines, and deploy scalable models in production environments. Your daily tasks include applying statistical methods, software engineering practices, and modern tools like Git and CI/CD to deliver end-to-end ML solutions. Ideal candidates have experience with Python, Linux-based systems, and cloud environments, as well as a strong background in machine learning and data science. Additional skills such as deep learning, reinforcement learning, and containerization with Docker and Kubernetes are highly valued. This role offers the opportunity to work on impactful projects that drive measurable business outcomes at scale.

What you'll do

  • Design and implement machine learning models for real-world applications.
  • Develop end-to-end ML pipelines including data ingestion, training, evaluation, and deployment.
  • Deploy machine learning solutions into production environments reliably at scale.
  • Translate client mission needs into technical AI and ML solutions effectively.
  • Write high-quality code in languages like Python for robust system development.

What we're looking for

  • Experience developing and applying machine learning and AI algorithms.
  • Proficient in building and deploying ML/AI solutions into production environments.
  • Expertise in designing end-to-end ML pipelines, including data ingestion and deployment.
  • Strong coding skills in Python for production-quality code development.
  • Experience working with large-scale structured and unstructured data.
  • Familiarity with modern software engineering practices like Git, testing, and CI/CD.
  • Bachelor's degree required.

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