Data Scientist

Booz Allen Hamilton

Confirmed live today Low trust
Closes in 5 days

Quick summary

Work type
On-site
Location
Washington, DC
Employment
Full-time
Posted
84 days ago
Freshness
Confirmed live today
Closes
Nov 1, 2026 (soon)

Market check

Salary context

How this pay compares to similar roles

Similar $166k
$97k $233k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$204,800.

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 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

JOB TITLE: Data Scientist As a Data Scientist, you will join a team dedicated to transforming complex structured and unstructured data into objective answers to solve global challenges. You will work closely with clients to understand their specific needs, digging into data-rich environments to develop algorithms and systems. Your daily responsibilities include creating ETL pipelines, querying APIs, cleaning data, and designing automated analytic software. You will utilize programming languages such as Python, R, and SQL, alongside version control tools like Git, GitLab, GitHub, or Bitbucket. You must apply knowledge of statistical analysis, predictive modeling, and machine learning methods. Additionally, you will generate data visualizations using Tableau, Power BI, or ArcGIS. This role addresses technical problems in areas such as fraud detection, cancer research, and national intelligence.

What does a Data Scientist earn?

Median $173200 from 338 postings across 66 companies.

See salary data

What you'll do

  • Develop algorithms and systems to turn disparate data points into objective answers.
  • Create ETL pipelines by querying APIs, cleaning data, and creating storage schemas.
  • Design and develop automated analytic software, techniques, and machine learning models.
  • Integrate and extend free and open-source software or COTS products to solve problems.
  • Generate data visualizations using tools such as Tableau, Power BI, or ArcGIS.
  • Provide deep analysis of complex datasets to help clients make informed decisions.
  • Translate client questions and needs into actionable data science solutions.

What we're looking for

  • Experience using data science programming languages such as Python, R, or SQL.
  • Experience creating ETL pipelines, including querying APIs, cleaning data, and creating schemas.
  • Experience with version control tools including Git, GitLab, GitHub, or Bitbucket.
  • Knowledge of statistical analysis, predictive modeling, and machine learning methods.
  • Ability to design and develop automated analytic software, techniques, and algorithms.
  • Ability to develop solutions and integrate free and open-source software or COTS products.
  • Ability to generate data visualizations with tools such as Tableau, Power BI, or ArcGIS.
  • HS diploma and 7+ years of experience, or a Bachelor’s degree and 3+ years of experience in data science.
  • Active TS/SCI clearance and willingness to take a polygraph exam.
  • Experience with GEOINT, HUMINT, MASINT, OSINT, and SIGINT data and tools (preferred).
  • Experience with intelligence or operations analysis in the DoW or Intelligence Community (preferred).
  • Knowledge of DevOps, including CI/CD pipelines and Jenkins (preferred).

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