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Full time
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Data Scientist

BOOZ, ALLEN & HAMILTON, INC.Kensington, MD🇺🇸United StatesPosted 28 Jul 2026

Why This Role Stands Out

Leverage your expertise in data science, machine learning, and AI to solve global challenges and drive impactful solutions across diverse sectors, with a competitive salary range of USD 77,600 - 176,000 and the flexibility of a hybrid work mode. You'll thrive in this role if you're passionate about uncovering insights from complex datasets and collaborating with talented teams to develop innovative algorithms and systems. Don't miss this chance to grow your career and make a real difference; apply today!

Quick Overview

Salary
$77.6k - $176k/yr
Work Type
Hybrid
Schedule
Full Time
Level
Mid Senior

Job Description

Data Scientist | Kensington, MD, United States | Hybrid | $77,600.00 - $176,000.00

This employer is a well-respected firm known for its commitment to solving complex global challenges. They are seeking a Data Scientist to leverage cutting-edge technologies like machine learning and AI to derive insights from vast datasets, impacting both private and public sectors. The role offers a unique opportunity to contribute to meaningful projects and make a tangible difference.

The Role

  • Explore, clean, analyze, visualize, and mine complex datasets to uncover critical insights.
  • Develop and implement algorithms and systems using statistical analysis, predictive modeling, and machine learning methods.
  • Construct ETL pipelines, query APIs, and prepare data for storage with an emphasis on efficient and clean data handling.
  • Design and develop automated analytic software and algorithms to empower informed decision-making.
  • Utilize data visualization tools to present findings clearly to clients and stakeholders.
  • Work with sensitive data and require an active TS/SCI clearance.

What You'll Need

  • Proven experience in data exploration, cleaning, analysis, visualization, science, or mining.
  • Proficiency in statistical and general-purpose programming languages like Python, R, or SQL.
  • Experience building ETL pipelines, including API querying and data conditioning.
  • Familiarity with version control tools such as Git, GitLab, GitHub, or Bitbucket.
  • Solid understanding of statistical analysis, predictive modeling, and machine learning techniques.
  • A Bachelor's degree in a relevant field.

What's On Offer

  • The opportunity to work on impactful projects that address global challenges.
  • A collaborative team environment with opportunities for learning and growth.
  • Competitive salary range of $77,600.00 - $176,000.00.
  • A comprehensive benefits package including health, retirement, and professional development support.

Apply via Haystack today!

Skills

SQL
ETL
Machine Learning
Git
Python

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