Lead Computational Social Scientist
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AI Summary
You will research, develop, and implement computational social-science models to analyze global supply chain dynamics and financial risk. You will also collaborate with engineering and product teams to operationalize these models from concept through full productization.
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 environment to introduce and operationalize complex financial risk and macro-economic models at scale. You will lead model-driven projects, collaborate closely with engineering and product teams, and guide models from concept through full productization. You will work in a fast-paced environment, juggling multiple projects, and excelling in communicating complex features to broad audiences. Your work will directly enhance the analytical foundations of the interos.ai platform and support our mission to illuminate global supply chain relationships through advanced computational social science.
What You Will Do:
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 environment to introduce and operationalize complex financial risk and macro-economic models at scale. You will lead model-driven projects, collaborate closely with engineering and product teams, and guide models from concept through full productization. You will work in a fast-paced environment, juggling multiple projects, and excelling in communicating complex features to broad audiences. Your work will directly enhance the analytical foundations of the interos.ai platform and support our mission to illuminate global supply chain relationships through advanced computational social science.
What You Will Do:
- Research, develop, and implement computational social-science models for integration into the interos.ai platform.
- Apply quantitative methods to understand network structures, global supply chain dynamics, and economic and financial risk.
- Manage multiple projects and execute rigorous models under tight timelines, while communicating progress across technical and non-technical stakeholders.
- Evaluate and validate academic and industry models and assess applicability to product needs.
- Translate complex theoretical frameworks into practical, scalable models used by public and private sector customers.
- Produce white papers, blogs, and external presentations
- Stay current on global events, emerging datasets, and methodological advances relevant to global financial markets, regulations, and macro-economic trends.
- Collaborate across Applied AI, Engineering, and Product to take models from initial concept through to full productization.
- Embrace the start-up speed to delivery expectations and communicate and execute within multi-disciplinary scrum teams.
What You Bring:
- PhD in political science, economics, or other social or behavioral science, actuarial science, or related quantitative field with 5+ years of experience; or Master’s degree with 7+ years; or 10+ years of hands-on experience modeling complex socio-technical or large-scale systems.
- Experience thriving in fast-paced, cross-disciplinary environments, especially in start-up or other face-paced product-centric environments.
- Deep curiosity and a persistent drive to explore new data, better methods, and novel approaches to complex analytical problems.
- Demonstrated expertise in quantitative modeling across social, organizational, or physical systems.
- Proven open-source research skills and experience supporting product development
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
- Proficiency with Python, Jira, Git, LLM coding tools, and related analytical or engineering collaboration tools.
- Embody a hungry, humble, and smart mindset: always learning, collaborating, and executing.
Bonus Points For:
- Experience operationalizing academic or technical models within private-sector or applied environments.
- Ability to communicate effectively with diverse audiences, including internal teams, external partners, technical experts, and business stakeholders.
- Background in computational social science, network science, system dynamics, global supply chain analysis, complexity science, or similar domains.
- Experience working with engineering and product teams and communicating and translating models for software production.
WHAT WE OFFER
• Comprehensive health, dental, and vision insurance
• 401(k) with employer match
• Flexible Time Off (FTO) + 10 paid holidays
• Opportunity to help shape an early, fast-growing market
• A flexible, remote-first work environment that empowers you to perform at your best, wherever you are
• An incredible culture built on trust, accountability, and collaboration across time zones and teams
OUR CORE VALUES
Technical Skill: We hold a performance-driven standard across everything we build and deliver. We value depth of expertise, strong judgment, and the ability to turn complex challenges into clear, effective solutions.
Will: We show up hungry, humble, and smart. We take ownership, seek growth, and elevate one another through curiosity, accountability, and collaboration.
Thrill: We stay connected and bring energy to the work. Meaningful relationships and celebrating wins together fuel great outcomes.
ADDITIONAL INFORMATION
Work Environment, Location, and Travel
This role can be remote-first within the United States, with optional access to our Arlington, VA HQ. Occasional travel may be required for team summits, customer engagements, or industry events.
Compensation
Base Salary Range: $159,000 - $200,000 USD (depending on experience and location)
Variable Compensation: Eligible for annual performance bonus
Equity: Stock options included as part of total compensation package
EQUAL OPPORTUNITY EMPLOYER
interos.ai is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees regardless of race, religion, gender identity, sexual orientation, age, disability, or veteran status.
ACCESSIBILITY & ACCOMMODATIONS
We are committed to providing reasonable accommodations for candidates throughout the hiring process. If you need assistance, please contact us at hr@interos.ai.
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