Data Scientist

Booz Allen Hamilton

Quick summary

Work type
On-site
Location
Alexandria, VA
Salary
$99,000–$225,000 / yr
Posted
2 days ago
Closes
Sep 3, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $171k
This role $162k
$84k most similar roles pay here $240k

This role pays less than 53% of similar roles. Most pay $126,800–$214,500 — the shaded band above. At the midpoint, this role pays about $162k 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

As a senior data scientist at Booz Allen Hamilton, you will join the Defense Solutions team to apply advanced data science techniques and collaborate with DoD clients to enhance strategic decision-making. Your daily tasks include designing statistical analyses on complex datasets, developing high-quality visualizations for diverse audiences, leading projects from inception to delivery, and mentoring junior analysts. You will leverage Python or R alongside libraries such as pandas, NumPy, and scikit-learn, while also working with SQL for data management and distributed computing frameworks like Spark. With a focus on large-scale datasets and agile workflows, you must possess 6+ years of experience in statistical analysis, algorithm development, and data management, along with TS/SCI clearance. Additional skills in NLP, geospatial analysis, Databricks, and machine learning model deployment are highly valued for tackling intricate challenges within the DoD’s strategic landscape.

What you'll do

  • Design and execute statistical analyses on large, complex datasets from multiple sources.
  • Develop production-quality data visualizations for technical and executive audiences.
  • Lead data science projects from scoping through delivery to ensure analytical rigor.
  • Translate strategic questions into analytical approaches and deliver actionable insights.
  • Mentor junior data scientists and establish best practices for reproducible analyses.

What we're looking for

  • 6+ years experience in data science, statistical analysis, or quantitative research.
  • Expertise in developing algorithms using R or Python with libraries like pandas and scikit-learn.
  • Proficiency in analyzing structured and unstructured data sources.
  • Strong background in statistics including hypothesis testing and regression analysis.
  • Experience managing large-scale data in SQL across multiple databases and warehouses.
  • Knowledge of distributed computing frameworks such as Spark or DASK for big data processing.
  • TS/SCI clearance required.

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