Lead Computational Social Scientist

**Role: Lead Computational Social Scientist** **About interos.ai:** interos.ai is the standard for supply chain risk intelligence. Our Resilience platform, powered by an 11B buyer\-supplier knowledge graph and 250M\+ businesses scored across six risk factors, Cyber, Catastrophic, ESG, Restrictions, Geopolitical, and Finance, is run by Fortune 1000 market leaders and trusted by major Federal departments. As the only AI\-powered SaaS platform that comprehensively assesses risk across these domains, interos.ai helps customers understand their exposure through our proprietary iScore® and assists both real\-time and anticipatory opportunities to mitigate supply chain risk. Our second\-generation platform, iQ, is the industry's first fully productized predictive analytics platform for supply chain risk. iQ orchestrates ERP and Resilience platform insights to deliver AI\-driven suggestions for supply chain risk management, helping organizations quantify financial exposure, stay ahead of geopolitical volatility and shifting tariffs, and communicate risk in the language CFOs use every day. We are not afraid to challenge conventions, explore new ideas, and iterate quickly. Our work is meaningful, the problems are complex, and the pace requires focus, curiosity, and adaptability. We are looking for people who are humble in how they collaborate, hungry to succeed, and smart in how they work. People who thrive here are energized by broad exposure, comfortable navigating ambiguity, open to feedback, proactive in taking ownership, and motivated by making a real impact. **About the role:** Are you constantly exploring rigorous, data\-driven approaches to understand global geopolitical, financial, technological, and economic disruptions? Are you fascinated by global financial systems and uncovering hidden patterns within networks? Do you enjoy transforming theoretical models into practical insights and communicating them for public and private sector environments? And want to dive deep into supply chain networks and the major transformations underway? If so, interos.ai is seeking a Principal Computational Social Scientist to help advance the next evolution of our financial and economic modeling capabilities. In this role, you will drive development of financial risk applications across both micro\- and macro\-use cases. You will apply quantitative social\-science methods to analyze global supply chains, financial markets, network dynamics, and macro\-level socio\-economic trends. You will build and refine theory\-informed and data\-driven computational models while staying current on emerging research, global events, and analytical techniques. A strong researcher, writer, and data storyteller, you will translate deep analytical output into clear insights for both technical and non\-technical audiences. As part of interos.ai’s Applied AI team, you will work in a fast\-paced, multi\-disciplinary environm