Data Scientist

Booz Allen Hamilton

Quick summary

Work type: On-site
Location: Arlington, VA
Salary: $77,600–$176,000 / yr
Posted: 3 days ago
Closes: Sep 23, 2026
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $156k

This role $127k

$63k most similar roles pay here $215k

This role pays less than 62% of similar roles. Most pay $126,800–$185,650 — the shaded band above. At the midpoint, this role pays about $127k 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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At a glance

TL;DR · Data Scientist

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As a Data Scientist at our innovative company, you will join a dynamic team focused on leveraging advanced analytics and machine learning to solve complex business challenges. Your primary responsibilities include developing sophisticated algorithms using Python, R, or SQL to extract meaningful insights from large datasets. You will work closely with cross-functional teams to implement cutting-edge solutions in areas such as artificial intelligence and natural language processing, ensuring that our products remain at the forefront of technological advancement. With a secret clearance, you’ll contribute to projects involving sensitive data, applying your expertise in distributed computing tools like Apache Spark, Hadoop, and Databricks to handle big data challenges efficiently.

Skills

Python R SQL Databricks MapReduce Hadoop Hive EMR Kafka Apache_Spark Gurobi MySQL

What you'll do

Analyze data using statistical programming languages like Python and R.
Develop machine learning models to solve complex business problems.
Implement natural language processing techniques for text analysis.
Work with distributed computing tools such as Apache Spark and Hadoop.
Ensure compliance with secret clearance requirements for sensitive projects.
Optimize algorithms for efficiency in large-scale data environments.

What we're looking for

Experience with statistical and general-purpose programming languages for data analysis.
Knowledge of Machine Learning, Artificial Intelligence, and Natural Language Processing.
Secret clearance required.
Bachelor’s degree in a relevant field.
2+ years of experience developing algorithms using R, Python, SQL, or NoSQL.
Familiarity with distributed data or computing tools like Databricks, Hadoop, Spark, Kafka.

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