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Full time
Technology
Data Scientist
BOOZ, ALLEN & HAMILTON, INC.Alexandria, VA🇺🇸United StatesPosted 14 Jul 2026
Why This Role Stands Out
This mid-senior Data Scientist role offers a competitive salary and the chance to make a significant impact by leveraging advanced analytics to inform strategic decisions. You'll thrive here if you're passionate about solving complex challenges with data and eager to grow your expertise in a collaborative, hybrid environment that encourages innovation. Don't miss this exciting opportunity to contribute to meaningful work and advance your career.
Quick Overview
Salary
$77.6k - $176k/yr
Work Type
Hybrid
Schedule
Full Time
Level
Mid Senior
Job Description
Data Scientist | Alexandria, VA, United States | Hybrid
We're hiring on behalf of a renowned professional services firm that plays a critical role in national security and public sector innovation. This organization is recognized for its cutting-edge work in applying advanced analytics to solve complex challenges for government agencies. They foster a collaborative environment where data science expertise drives impactful decision-making and strategic advancement.
The Role
• Design and execute statistical analyses on large, complex datasets from multiple sources.
• Develop production-quality data visualizations, plots, and dashboards for technical and executive audiences.
• Lead data science projects from scoping through delivery, ensuring analytical rigor and alignment with mission objectives.
• Collaborate with stakeholders to translate strategic questions into analytical approaches and deliver actionable insights.
• Respond to ad-hoc analytical requests while managing competing priorities and deadlines in an agile workflow.
• Mentor junior data scientists and establish best practices for reproducible, well-documented analyses.
What You'll Need
• 4+ years of experience with data science, statistical analysis, or quantitative research.
• 4+ years of experience with the development of algorithms, leveraging R or Python in data analysis libraries such as pandas, NumPy, scikit-learn, or Tidyverse.
• 4+ years of experience analyzing structured and unstructured data sources.
• Experience with statistics, including hypothesis testing, regression analysis, experimental design, and uncertainty quantification.
• Experience with data management in SQL, including managing large-scale data across multiple databases and data warehouses.
• TS/SCI clearance required.
What's On Offer
• Opportunity to work on impactful projects with national security implications.
• A collaborative team environment with opportunities for leadership and mentorship.
• Access to a flexible work model to support work-life balance.
• Comprehensive benefits package including health, financial, and retirement offerings.
Apply via Haystack today!
Skills
SQL
NumPy
Scikit-learn
Agile
Pandas
Python
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