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Full time
Technology

Data Scientist, Mid

BOOZ, ALLEN & HAMILTON, INC.McLean, VA🇺🇸United StatesPosted 9 Jul 2026

Quick Overview

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

Job Description

Data Scientist, Mid | McLean, VA, United States | Hybrid | $77,600.00 - $176,000.00 This employer is seeking a Data Scientist to leverage their expertise in machine learning and artificial intelligence to solve complex global challenges. The role offers the opportunity to transform large datasets into actionable insights for both private and public sector clients, spanning areas from fraud detection to national intelligence. Join a team that values innovation and real-world impact. The Role • Work with clients to understand their needs and translate them into data science solutions. • Explore and analyze rich data environments to uncover critical information. • Lead the development of algorithms and systems to derive objective answers from data. • Utilize a range of tools and frameworks to process and interpret complex datasets. • Create compelling data visualizations to support client decision-making. What You'll Need • 2+ years of experience with data science programming languages such as Python or R. • Experience building ETL pipelines, including data querying, cleaning, and conditioning. • Proficiency with version control tools like Git. • Knowledge of statistical analysis, predictive modeling, and machine learning methods. • Ability to design and develop automated analytic software and algorithms. • A Bachelor's degree and 3+ years of data science experience, or 7+ years of equivalent experience. • TS/SCI clearance is required. What's On Offer • Opportunity to work on meaningful projects impacting global challenges. • Collaborative team environment with a focus on client success. • Comprehensive benefits package including health, retirement, and paid leave. • Professional development opportunities and tuition assistance. Apply via Haystack today!

Skills

ETL
Machine Learning
Git
Python

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