Data Scientist

Booz Allen Hamilton

Quick summary

Work type: On-site
Location: Fayetteville, NC
Salary: $99,000–$225,000 / yr
Posted: 3 days ago
Closes: Aug 30, 2026
Nearby: 18 roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $151k

This role $162k

$84k most similar roles pay here $240k

This role pays more than 63% of similar roles. Most pay $126,800–$175,500 — the shaded band above. At the midpoint, this role pays about $162k versus about $151k 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 670 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 657 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 a Data Scientist at Booz Allen, you will join a dynamic team focused on leveraging advanced analytics to solve complex operational challenges for mission-critical projects. Your daily responsibilities include applying statistical methods and machine learning techniques to extract valuable insights from diverse data sources, conducting data exploration and cleaning, and creating visualizations that transform raw data into actionable intelligence. The role requires proficiency in data analysis tools and languages such as Python or R, alongside a strong understanding of predictive analytics and data mining. With experience in handling structured and unstructured data, you will support clients in making informed decisions to drive mission success across various industries.

Skills

Python R SQL Tableau PowerBI Spark Hadoop TensorFlow Scikit-learn Keras Azure AWS GitHub Jupyter Notebook CI/CD Docker Kubernetes

What you'll do

Analyze and clean complex datasets to extract meaningful insights.
Apply statistical methods and machine learning techniques to solve operational challenges.
Develop predictive models using diverse data sources for informed decision-making.
Visualize data trends and patterns to communicate findings effectively to stakeholders.
Support mission-focused projects by transforming raw data into actionable intelligence.

What we're looking for

Experience in data exploration, cleaning, analysis, visualization, and mining.
Proficiency in statistical methods, machine learning techniques, and predictive analytics.
Active TS/SCI clearance required.
Bachelor’s degree or higher.
Ability to address complex operational challenges using advanced analytics.

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