Lead Climate Risk Scientist - Remote & Geospatial Modeling

interos.ai; Remote; CAD 208,000 - 251,000; Full time

Job summary

A supply chain risk intelligence company is seeking a Lead Computational Climate Scientist to develop models assessing climate change impacts on global supply chains. This remote role requires a PhD or significant experience in climatological risk modeling. The position offers a competitive salary between $150,000 and $180,000, along with equity options and career growth opportunities. Candidates should possess strong analytical skills, familiarity with Python, and the ability to work across disciplines in a fast-paced environment.

Benefits

401(k) with employer match

Flexible Time Off (FTO)

Employee referral bonuses

Remote-first work environment

Qualifications

• PhD or 10+ years of experience in modeling climatological risk.
• Proven open-source research skills and product development experience.
• Demonstrated curiosity and persistence in improving methods.

Responsibilities

• Research and implement computational catastrophic risk models.
• Drive geospatial modeling efforts in collaboration with teams.
• Translate theoretical research into practical models for risk.

Skills

Python

Quantitative analysis

Multi-disciplinary collaboration

Education

PhD in atmospheric and oceanic science or related quantitative field

Tools

Jira

Git

Job description

A supply chain risk intelligence company is seeking a Lead Computational Climate Scientist to develop models assessing climate change impacts on global supply chains. This remote role requires a PhD or significant experience in climatological risk modeling. The position offers a competitive salary between $150,000 and $180,000, along with equity options and career growth opportunities. Candidates should possess strong analytical skills, familiarity with Python, and the ability to work across disciplines in a fast-paced environment.