Data Scientist

Booz Allen Hamilton

Quick summary

Work type: On-site
Location: Fort Bragg, NC
Salary: $99,000–$225,000 / yr
Posted: 4 days ago
Closes: Sep 8, 2026
Nearby: 24 roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $154k

This role $162k

$84k most similar roles pay here $240k

This role pays more than 62% of similar roles. Most pay $126,800–$181,855 — the shaded band above. At the midpoint, this role pays about $162k versus about $154k 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 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 · Data Scientist

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As a Data Scientist at Booz Allen, you will join a dynamic team focused on leveraging advanced analytics to solve complex operational challenges for critical missions. Your daily responsibilities include applying statistical methods, machine learning techniques, and data mining to extract valuable insights from diverse data sources. You will develop predictive models, conduct quantitative analyses, and create visualizations that drive informed decision-making. Ideal candidates possess experience with data exploration, cleaning, analysis, and visualization tools such as Python or R, alongside proficiency in natural language processing and distributed computing frameworks like Spark and Hadoop. Familiarity with Palantir Foundry and DevOps practices is a plus, particularly for those with experience within the DoD ecosystem. This role demands strong analytical skills and a TS/SCI clearance to work on high-impact projects that support mission-critical initiatives.

Skills

Python R SQL Spark Hadoop Databricks AWS EMR Kafka Tableau Qlik Power BI ArcGIS Palantir Foundry Pipeline Builder AIP DevOps CI/CD

What you'll do

Analyze structured and unstructured data to extract meaningful insights.
Develop predictive models using machine learning techniques for complex projects.
Clean and visualize data to support decision-making processes.
Apply statistical methods to address operational challenges in mission-focused areas.
Lead the development of advanced analytic solutions for critical programs.

What we're looking for

Extensive experience in data exploration, cleaning, analysis, and mining.
Proficiency in statistical programming languages for data analysis.
Expertise in developing predictive models using machine learning techniques.
Ability to lead complex program solutions and analyze structured/unstructured data.
TS/SCI clearance required.
Knowledge of distributed computing tools like Spark, Hadoop, or AWS EMR.

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