Quantitative Analyst SETA - STO

Location: On-site daily at DARPA HQ in Arlington, Virginia, United States; travel up to 15%

Salary: $150,000–$195,000 per year, depending on experience

Company

Everforth hirify.global is the federal segment of Everforth, delivering technology solutions in data and AI, cybersecurity, and enterprise transformation for defense, intelligence, and federal civilian agencies.

What you will do

• Support DARPA program managers in developing, integrating, and scaling complex adaptive system models and data-intensive analytical capabilities.
• Design, evaluate, and apply quantitative economic models, network analysis frameworks, and graph-based data integration architectures.
• Integrate multi-source intelligence, economic, and commercial/open-source datasets into scalable analytical pipelines.
• Act as the technical liaison between academic researchers, software engineering teams, and Intelligence Community stakeholders.
• Advise DARPA leadership on program execution risks, data architecture scalability, and capability transition strategy.
• Prepare technical documentation, program roadmaps, executive briefs, and analytical findings for senior decision-makers.

Requirements

• U.S. citizenship and an active Top Secret clearance with SCI eligibility are required.
• Master’s degree or PhD in Economics, Data Science, Applied Mathematics, or a related quantitative field.
• 5+ years of experience in quantitative economic modeling, advanced econometrics, and network data science or data engineering for complex adaptive systems.
• Required experience with economic data and network analysis.
• Knowledge of regression and causality analysis, large-scale data processing, multi-source pipeline integration, graph analytics, and interconnected data architectures.
• Experience working within or alongside the U.S. Intelligence Community, with strong written and oral communication skills for senior defense stakeholders.

Nice to have

• Active Special Access Program access and experience working at TS/SCI and SAP levels.
• Experience with defense industrial base analysis, economic statecraft, strategic competition modeling, or macroeconomic resilience metrics.
• Experience building decision-support tools, AI/ML-enabled analytical tools, cloud data engineering workflows, or LLM research pipelines.
• Experience supporting program start-ups, pilot demonstrations, and transition pathways in defense or intelligence organizations.
• Quantitative production experience in systematic investing, trading, real-time advertising technology, or pharmacological optimization.

Culture & Benefits

• Mission-driven work supporting defense, intelligence, and federal civilian agencies.
• Culture focused on delivery excellence, innovation, accountability, and professional development.
• Benefits are provided as part of the employment package.