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Full time
Technology
BA

Data Scientist

BOOZ, ALLEN & HAMILTON, INC.Washington, DC🇺🇸United StatesPosted 11 Sept 2026

Why This Role Stands Out

Leverage your data science expertise in a hybrid role where you'll unlock insights from complex datasets to solve global challenges across diverse sectors, with a competitive salary range of USD 77,600 - 176,000. This opportunity is perfect for analytical minds passionate about machine learning and AI, offering significant growth and impact as you collaborate with clients and a talented team. Apply to join Booz Allen Hamilton and make a real-world difference using data for good.

Quick Overview

Salary
$77.6k - $176k/yr
Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Washington, DC, United States
Posted
5 days ago
SQLETLMachine LearningTableauGitPower BIPython

Job Description

Data Scientist | Washington, DC, United States | Hybrid | $77,600.00 - $176,000.00

We're hiring on behalf of a globally recognised professional services firm that leverages data science to solve complex challenges across both public and private sectors. This employer is known for its commitment to making a real-world impact through innovation and advanced analytics. They foster a collaborative environment where data scientists can grow while contributing to meaningful projects.

The Role

  • Unlock insights from complex structured and unstructured data sets.
  • Partner with clients to understand their needs and translate them into data-driven solutions.
  • Develop algorithms and systems using a variety of tools and frameworks.
  • Transform disparate data points into objective answers for informed decision-making.
  • Design and develop automated analytic software, techniques, and algorithms.
  • Utilize data visualization tools to present findings effectively.

What You'll Need

  • Experience in data exploration, cleaning, analysis, visualization, data science, or data mining.
  • Proficiency in programming languages for data analysis such as Python, R, or SQL.
  • Experience building ETL pipelines, including API querying and data conditioning.
  • Familiarity with version control tools like Git, GitLab, GitHub, or Bitbucket.
  • Knowledge of statistical analysis, predictive modeling, and machine learning methods.
  • Ability to create automated analytic software, techniques, and algorithms.
  • Experience with data visualization tools (e.g., Tableau, Power BI, seaborn, matplotlib).
  • TS / SCI clearance.
  • Bachelor's degree.

What's On Offer

  • A supportive team environment with opportunities for learning and growth.
  • The chance to work on projects with significant global and national impact.
  • Competitive salary range and a comprehensive benefits package.
  • Opportunities for professional development and tuition assistance.

Apply via Haystack today!

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