Haystack
← Back to Jobs
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

Similar jobs