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Data Scientist

BOOZ, ALLEN & HAMILTON, INC.Upper Marlboro, MD🇺🇸United StatesPosted Sep 11, 2026

Why This Role Stands Out

Leverage your expertise in data exploration, machine learning, and programming languages like Python or R to solve complex global challenges with Booz Allen Hamilton's renowned team. This hybrid role offers excellent growth potential and a competitive salary range of $77,600 - $176,000, making it an ideal opportunity for mid-senior data scientists eager to make a significant impact. Apply today to join a mission-driven organization and unlock the power of data for good.

Quick Overview

Salary
$77.6k - $176k/yr
Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Upper Marlboro, MD, United States
Posted
1 week ago
SQLETLMachine LearningTableauGitIoTPower BIPython

Job Description

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

This employer is a globally recognised leader in professional services, renowned for tackling complex challenges across both public and private sectors through cutting-edge data analytics and artificial intelligence. They are looking for a passionate Data Scientist excited by the prospect of turning intricate datasets into actionable insights that drive significant impact. Join a collaborative environment where you'll leverage advanced technologies to solve critical global issues, from fraud detection to national intelligence.

The Role

  • Work with clients to understand their challenges and translate them into data-driven questions.
  • Explore, clean, analyze, and visualize complex structured and unstructured data sets.
  • Develop and implement algorithms and predictive models using statistical and programming techniques.
  • Design and build automated analytic software and systems.
  • Create ETL pipelines to extract, transform, and load data from various sources, including APIs.
  • Collaborate with a team of experts to deliver objective answers and informed decision-making for clients.

What You'll Need

  • Proven experience in data exploration, cleaning, analysis, visualization, or mining.
  • Proficiency in statistical and general-purpose programming languages such as Python, R, or SQL.
  • Experience building ETL pipelines, querying APIs, and data conditioning.
  • Familiarity with version control tools like Git, GitLab, GitHub, or Bitbucket.
  • Solid understanding of statistical analysis, predictive modeling, and machine learning methods.
  • Ability to design and develop automated analytic software, techniques, and algorithms.
  • Ability to utilize data visualization tools such as Tableau, Power BI, or libraries like seaborn, matplotlib.
  • A Bachelor's degree.
  • TS/SCI clearance is required.

What's On Offer

  • Opportunity to apply data science for good and make a tangible impact on global challenges.
  • Collaborative work environment with opportunities to learn from and work with experienced professionals.
  • Access to a wide range of benefits including health, retirement, paid leave, and professional development.
  • Tuition assistance for continuous learning and career growth.
  • Potential for working with advanced technologies like IoT, machine learning, and artificial intelligence.

Apply via Haystack today!

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