
201 - 500 employees
💼 Consulting
🎖️ Defense
📦 Logistics
Consulting • Defense • Logistics
Redhorse Corporation is a technology-driven company specializing in providing innovative solutions to complex problems faced by government and defense organizations. With expertise in AI-driven innovation, cyber analytics, and data science, Redhorse focuses on transforming how governmental bodies interact with data and technology. The company prioritizes customer-centric, mission-focused partnerships to deliver impactful results and tackle challenges head-on. It serves markets including federal civilian, defense, intelligence, and homeland security, offering services that enable digital transformation, mission enablement, and infrastructure development.
🔥 15 hours ago
🇺🇸 United States – Remote
💵 $140k - $170k / year
⏰ Full Time
🟠 Senior
🤖 Artificial Intelligence
👻 Ghost score 0%
Where this job comes from
Posted on Redhorse Corporation's careers page, not through a job board
First seen by Remote Rocketship 15 hours ago
Still open on Redhorse Corporation's site. Checked 1 hour ago.

201 - 500 employees
💼 Consulting
🎖️ Defense
📦 Logistics
Consulting • Defense • Logistics
Redhorse Corporation is a technology-driven company specializing in providing innovative solutions to complex problems faced by government and defense organizations. With expertise in AI-driven innovation, cyber analytics, and data science, Redhorse focuses on transforming how governmental bodies interact with data and technology. The company prioritizes customer-centric, mission-focused partnerships to deliver impactful results and tackle challenges head-on. It serves markets including federal civilian, defense, intelligence, and homeland security, offering services that enable digital transformation, mission enablement, and infrastructure development.
• Lead day-to-day modeling team delivery, including task prioritization, sprint planning, peer reviews, and cross-functional coordination • Translate mission objectives, operational challenges, and stakeholder inputs into modeling requirements, assumptions, and acceptance criteria • Provide architectural direction on modeling techniques, feature engineering, data inputs, validation protocols, and performance tradeoffs • Review modeling pipelines, system documentation, and analytical products for quality, consistency, and compliance with enterprise data governance standards • Partner with data engineers, software developers, product owners, and USAF stakeholders to integrate models into scalable production pipelines • Identify technical dependencies, resource bottlenecks, and delivery risks and provide mitigation paths to program leadership • Mentor data scientists and analysts and establish repeatable modeling frameworks, version control, and documentation practices • Develop predictive models using aircraft maintenance records and real-time sensor telematics to forecast component failures, optimize fleet maintenance schedules, increase aircraft availability, and minimize downtime
• Active DoD Secret clearance; applicants must currently possess an active Secret clearance to be considered • 6+ years of progressive experience in data science, advanced analytics, or machine learning • Experience leading technical projects or multidisciplinary teams • Track record of leveraging data products to drive operational strategies and high-impact business outcomes • Experience managing technical workflows in collaborative, agile development environments such as Scrum or Kanban • Ability to articulate complex AI/ML methodologies, validation results, and technical concepts to non-technical operational leaders • Working knowledge of modern data platforms, cloud architectures, and analytics visualization tools such as Power BI and Tableau • Master’s degree in a quantitative discipline or equivalent practical experience • Preferred: experience with Advana/WDP/BLADE, DoD maintenance operations, supply chain logistics, aviation telemetry, CBM+, full-lifecycle modeling workflows, data governance and lineage, automated data quality validation, and relevant technical or management certifications
• Comprehensive benefits programs • Performance-based or other incentive compensation, where applicable • Reasonable accommodations for qualified individuals with disabilities or disabled veterans
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