Data Scientist

Booz Allen Hamilton

Closes tomorrow

Quick summary

Work type
On-site
Location
Fayetteville, NC
Salary
$99,000–$225,000 / yr
Posted
6 days ago
Closes
Jun 16, 2026 (soon)

Market check

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.

Most-posted roles

View all roles at Booz Allen Hamilton

At a glance

TL;DR · Data Scientist

As a Data Scientist at Booz Allen, you will join a dynamic team focused on leveraging advanced analytics to address complex operational challenges for mission-critical projects. Your daily responsibilities include applying statistical methods, machine learning techniques, and data mining to extract valuable insights from diverse datasets. You will work with ETL tools like dbt and Airflow to manage data pipelines and use technologies such as Spark, Databricks, Hadoop, Hive, AWS EMR, and Kafka for distributed computing. Additionally, you may utilize visualization tools like Tableau or Power BI to communicate findings effectively. This role requires a strong background in data exploration, cleaning, analysis, and visualization, with a preference for experience in the DoD sector and familiarity with Combatant Command environments.

What you'll do

  • Analyze complex data using statistical methods and machine learning techniques.
  • Extract value from diverse data sources to address operational challenges.
  • Develop predictive analytics models for mission-focused projects.
  • Use ETL tools like dbt and Airflow for data processing tasks.
  • Create actionable insights through data exploration, cleaning, and visualization.

What we're looking for

  • 3+ years of experience in data exploration, cleaning, analysis, visualization, and mining.
  • Proficiency with ETL tools like dbt and Airflow.
  • TS/SCI clearance required.
  • Bachelor’s degree in Computer Science, Data Science, or Mathematics.
  • Experience with distributed computing tools such as Spark, Databricks, Hadoop, Hive, AWS EMR, Kafka.
  • Knowledge of data visualization tools including Tableau, Qlik, Power BI, ArcGIS.

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