Data Scientist, Mid

Booz Allen Hamilton

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: Alexandria, VA
Employment: Full-time
Posted: 28 days ago
Freshness: Confirmed live today
Closes: Dec 27, 2026
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $162k

$86k $222k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$196,250.

Based on 240 similar postings.

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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 1662 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 904 roles with salary data.

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At a glance

TL;DR · Data Scientist, Mid

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JOB TITLE: Data Scientist, Mid The Data Scientist, Mid joins a collaborative team to support the Department of Defense with Cyber Risk Management. In this role, you will lead the development of algorithms and systems to transform disparate data points into objective answers for informed decision-making. Your daily responsibilities include drafting documentation like DSAs and data memorandums, developing clear use cases, and mentoring junior analysts. You will build and maintain automated ETL pipelines using API integrations to ingest and transform data from unstructured sources like reports. Required technical skills include Python, PySpark, SQL, and Databricks. You must possess a TS/SCI clearance and experience in data engineering or analytics. The work involves solving complex cybersecurity data problems within the Department of Defense and Intelligence Community data ecosystems.

What does a Data Scientist earn in Virginia?

Median $162000 from 89 postings across 9 companies.

See salary data

Skills

Python PySpark SQL Databricks ETL API Machine Learning Natural Language Processing Qlik Advana Maven Data Engineering Data Governance Cybersecurity

What you'll do

Develop and lead the creation of algorithms and systems to solve complex data problems.
Build and maintain automated ETL pipelines using API integrations to ingest and transform data.
Extract and structure information from unstructured sources like reports and documents into analysis-ready data.
Draft and manage technical documentation including DSAs, appointment letters, and data memorandums.
Develop clear use cases that reflect the operational needs of Department of Defense clients.
Translate disparate data points into objective answers and actionable insights for executive decision-making.
Mentor junior analysts and guide teammates through technical data science tasks.

What we're looking for

5+ years of experience with Python, PySpark, SQL, or Databricks.
4+ years of experience with data engineering or analytics.
4+ years of experience delivering actionable insights and performance metrics.
Experience building and maintaining automated ETL pipelines leveraging API integrations.
Experience extracting and structuring information from unstructured sources into analysis-ready data.
Experience mentoring junior analysts.
Ability to communicate complex technical concepts to technical teams and executive stakeholders.
Bachelor’s degree.

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