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Full timeTechnology

Data Scientist

BOOZ, ALLEN & HAMILTON, INC.Alexandria, VA🇺🇸United StatesPosted Oct 3, 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
SeniorityMid Senior
Employment typeFull Time
Work modeHybrid
LocationAlexandria, VA, United States
Posted3 weeks ago
SQLNumPyScikit-learnAgilePandasPython

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!

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