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Senior Data Scientist - Acquisition and Sustainment with Security Clearance

Redhorse CorporationArlington, VA🇺🇸United StatesPosted 13 Jul 2026

Quick Overview

Work Type
Hybrid
Schedule
Employee
Level
Mid Senior

Job Description

About the Organization Now is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. We’re looking for thoughtful, skilled professionals who thrive as trusted partners building technology-agnostic solutions and want to apply their talents supporting customers with difficult and important mission sets. About the Role Redhorse is transforming how the Department of Defense (DoD) utilizes data and technology. We are seeking a highly skilled Senior-Level Data Scientist to join our team supporting the Under Secretary of Defense for Acquisition & Sustainment (OUSD(A&S)). You will play a critical role in advancing data-driven decision-making across the DoD, designing and implementing robust data solutions that directly impact national security initiatives and investments. This is a high-impact position offering significant opportunity to shape the future of DoD data management and analytics. Key Responsibilities * Support acquisition missions by extracting insights from structured and unstructured datasets. * Build predictive and prescriptive models to inform decision-makers and commanders. * Translate analytic outputs into clear, mission-relevant recommendations. * Develop machine learning, statistical, and optimization models. * Conduct feature engineering, validation, and performance tuning. * Clean, normalize, and integrate data from multiple classified and unclassified sources. * Ensure compliance with data governance standards aligned with DoD data strategies. * Understand how enterprise-level efforts align with the DoW Data Strategy. Required Experience/Clearance * Bachelor’s degree plus 7+ years of experience, or a Master’s degree plus 5+ years of experience. * Experience with big data systems, including Apache Spark and Databricks. * Experience with ETL processes. * Experience with the Advana Data Environment. * Experience with Amazon Web Services (AWS), Microsoft Azure, or MilCloud 2.0. * Experience engineering data pipelines across multiple security domains/classified networks. * Experience with multiple coding languages. * Active Secret security clearance.

Skills

AWS
ETL
Machine Learning
Apache
Apache Spark
Azure
Databricks

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