     
  Position: Principal Computational Social Scientist  
     Location:   Remote  
  
  Job Id: 332  
  # of Openings: 1  
    
  Role: Principal Computational Social Scientist 
 
 About interos.ai:
 interos.ai is defining the category of supply chain risk intelligence, building the world’s most trusted and transparent supply chains. Our pioneering platform automates the discovery and continuous monitoring of supply chain risk across every tier — enabling faster, data-driven threat mitigation and resilience at global scale. 
 As the first and only automated supplier intelligence platform, interos.ai gives organizations real-time visibility into extended supply chains to protect against regulatory exposure, unethical labor, cyber threats, and systemic vulnerabilities — all under a single pane of glass. 
 With customers across the commercial, government, and public sectors — including Global Fortune 500 enterprises and members of the Five Eyes nations — interos.ai offers a unique opportunity to help shape an early, fast-growing market that’s transforming global security and economic resilience. 
 
 The Opportunity:
 Are you constantly exploring rigorous, data-driven approaches to understand global geopolitical, societal, technological, and economic disruptions? Are you fascinated by complex socio-technical systems and uncovering hidden patterns within large-scale human and organizational networks? Do you enjoy transforming theoretical models into practical insights that inform decisions across public and private sector environments? 
 
 If so, Interos is seeking a Principal Computational Social Scientist to help advance the next evolution of our modeling capabilities. 
 
 In this role, you will apply quantitative social-science methods to analyze global supply chains, organizational behavior, network dynamics, geospatial dispersions, 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 work into clear insights for both technical and non-technical audiences. 
 
 As part of Interos’ Applied AI team, you will work in a fast-paced, multi-disciplinary environment to introduce and operationalize complex 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 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 platform
Apply quantitative methods to understand network structures, global supply chain dynamics, and socio-technical behaviors
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 research papers, white papers, blogs, and external presentations
Stay current on global events, emerging datasets, and methodological advances relevant to computational social science
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 a social, behavioral, actuarial, computer, 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
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
Experience thriving in fast-paced, cross-disciplinary environments
Proficiency with Python, Jira, Git, and related analytical or engineering collaboration tools
Embodies 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 teams and communicating and translating models for software production. 
What We Offer: 
Comprehensive health, dental & vision insurance 
401(k) with employer match 
Flexible Time Off (FTO) + 10 paid holidays 
Career growth opportunities and opportunity to help shape an early, fast-growing market 
Employee referral bonuses and recognition programs 
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 
 Compensation: 
 Base Salary Range: $150,000- $200,000 USD (depending on experience and location) 
 Variable Compensation: Performance-based annual bonus 
 Equity: Stock options included as part of total compensation package 
 We believe in rewarding great work with competitive, transparent compensation. Final offer will be based on skills, experience, and geographic location. 
 
 Work Environment, Location and Travel
 This is a remote-first role open to candidates legally authorized to work in the United States. This position may require travel. 
 
 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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Principal Computational Social Scientist

CALIFORNIA • MARYLAND • UTAH
