interos.ai · 1 day ago
Lead Computational Climate Scientist
United States
Full-time
Remote
Senior Level, Lead/Staff
$150K/yr - $180K/yr
10+ years expInteros.ai is defining the category of supply chain risk intelligence, building the world’s most trusted and transparent supply chains. The Lead Computational Climate Scientist will oversee catastrophic risk modeling and collaborate with engineering and product teams to operationalize complex models for assessing climate-driven supply chain risk.
Artificial Intelligence (AI)Cyber SecurityMachine LearningRisk ManagementSaaSSupply Chain Management
No H1B
Responsibilities
Research, develop, and implement computational catastrophic risk models focused on climate change, natural disasters, and technological and industrial disruptions
Drive geospatial modeling efforts at the grid-cell level and coordinate with product and engineering on geospatial workflows and solutions
Evaluate and validate diverse academic and industry models and assess applicability to product needs and customer use cases
Translate theoretical research into practical, scalable models applied to global supply chain risk
Collaborate across Methodology, Engineering, and Product to take models from concept through to full productization
Produce research papers, white papers, blogs, and external presentations
Stay current on global events, emerging datasets, and methodological advances related to climatology, catastrophic risk, and socio-technical system disruptions
Communicate complex modeling components and frameworks to both technical and non-technical audiences in fast-paced, multi-disciplinary environments
Qualification
Required
PhD in atmospheric and oceanic science, physics, social or behavioral science, or related quantitative field; or 10+ years of hands-on experience modeling and operationalizing climatological or natural disaster risk models
Experience working within multi-disciplinary teams and managing multiple concurrent projects and priorities
Demonstrated curiosity and persistence in pursuing better data, improved methods, and novel analytical solutions
Strong interest in applying scientific modeling to complex physical and socio-technical systems, with an emphasis on climate change
Background supporting product- and customer-focused research and feature development
Proven open-source research skills and experience supporting product development pipelines
Familiarity with Python, Jira, Git, and related analytical or engineering collaboration tools
Embodies a hungry, humble, and smart mindset: always learning, collaborating, and executing
Ability to thrive in fast-paced, cross-disciplinary environments with shifting priorities
Preferred
Experience operationalizing academic or technical models within private-sector or applied environments
Ability to optimize resources and execute under tight deadlines
Ability to communicate effectively with diverse internal and external audiences, including technical experts, customers, and business stakeholders
Experience applying quantitative climatological models to supply chain risk at both local and global scales
Strong verbal and written communication skills and comfort multi-tasking in dynamic environments
Benefits
Comprehensive health, dental & vision insurance
401(k) with employer match
Flexible Time Off (FTO) + 10 paid holidays
Career growth opportunities and the ability 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
Company
interos.ai
interos.ai is the Supply Chain Risk Intelligence company — building the most trusted and transparent supply chains in the world.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$194.85MKey Investors
Blue OwlBroadway AngelsAccenture Ventures
2026-01-06Private Equity· $20M
2024-10-24Private Equity· $40M
2023-12-20Series Unknown
Leadership Team
Ted Krantz
Chief Executive Officer, Board Director
Andrea Little Limbago
Senior Vice President, Applied AI
Recent News
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2026-01-07
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2026-01-07
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