Founded in 2005 by supply chain risk management expert Jennifer Bisceglie, we have grown into the largest and most influential player in the emerging operational resilience space. This past July we achieved $100 million dollars in Series C funding led by the investment firm Night Dragon, with additional participation from Series A and B investors Kleiner Perkins and Venrock. This latest round of funding brings Interos' valuation to $1billion, earning us unicorn status.
Based in Arlington, Va., Interos' breakthrough SaaS platform leverages artificial intelligence and machine learning to model the entire business ecosystems of companies into a living global map. Users can drill down to any single supplier, anywhere - helping businesses and government organizations reduce risk, avoid operational disruptions, and achieve dramatically superior resilience and performance. We have seen hypergrowth in the past 3 years and continue to expand our team across the US and several countries in Europe.
Are you constantly exploring more data-driven and rigorous approaches for modeling cyber risk, at scale, and across the globe? Are you fascinated by socio-technical systems and uncovering unknown insights? Are you a data storyteller seeking new ways to have a real-world impact? And want to apply all of these skills at a high-growth, early-stage company?
At Interos, we are seeking a Computational Social Scientist focused on cyber risk who has a deep understanding of the hard work, patience, and diligence required to identify, vet, and structure data for modeling complex and large systems. With a focus on modeling digital supply chain risk, this position applies computational social science models and theories in combination with the wide range of information security and cyber data, moving beyond the logs to craft novel insights and unique data-driven applications to inform risk postures. An avid researcher and writer, a computational social scientist is also a data storyteller, with strong communication skills to both technical and non-technical audiences.
Join the growing Methodology team at Interos and help implement cutting-edge cyber risk models while working in a fast paced, multi-disciplinary environment. Hone your quantitative skills, operationalize complex models, and turn novel research into actionable insights for our private and public sector customers. This role collaborates within the Methodology team and across engineering, and is responsible for both quantitative models as well as qualitative depth, detail, and context.
Interos is required to comply with Federal Executive Order 14042 mandating employees be vaccinated against COVID-19. All Interos employees must be fully vaccinated* against COVID-19, unless you have a legally valid medical or religious reason. Any requests for exemptions based on medical or sincerely held religious beliefs will be evaluated confidentially by our Chief People Officer after hiring.
*Fully vaccinated means an individual must have received their second dose of the Moderna or Pfizer vaccine or the single dose of the Johnson & Johnson vaccine.
Interos is proud to be an Equal Opportunity Employer and will consider all qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity, genetic information, national origin, disability, protected veteran status or any other classification protected by law.
If you are a candidate in need of assistance or an accommodation in the application process, please contact [emailprotected]