13 часов назад
Director of Climate Sciences
173 000 - 225 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director of Climate Sciences (Climate Risk Modeling/AI): Building physical climate risk models and scalable scientific modeling pipelines with an accent on AI numerical weather prediction, stochastic ensembles, earth observation foundation models, and physics-based modeling. Focus on leading climate scientists, establishing physical-risk methodologies, validating reproducible models globally, and translating business requirements into production scientific solutions.
Location: New York, United States
Salary: $173,000–$225,000 per year, plus eligibility for an annual bonus.
Company
provides research-based data, analytics, indexes, and technology that help global investors understand risks and opportunities, including sustainability and climate risks.
What you will do
- Lead a team of scientists in architecting and implementing physical climate risk assessment models.
- Build physical climate risk models using AI numerical weather prediction, stochastic ensembles, earth observation foundation models, and physics-based methods.
- Develop scalable, maintainable, robust, and reproducible scientific modeling pipelines with data, cloud, and security teams.
- Establish standards, methodologies, and techniques for modeling physical risk and its changes due to climate change.
- Conduct validation studies and guide continuous model improvement.
- Coordinate requirements, timelines, deliveries, project progress, compute resources, and stakeholder communication across product, sales, and project management teams.
Requirements
- Ph.D. in meteorology, atmospheric sciences, oceanography, hydrology, physics, engineering, mathematics, or a related subject.
- At least 5 years of experience developing environmental products for client requirements, preferably probabilistic risk products or catastrophe model outputs.
- Programming experience in Python, R, C/C++, and/or Fortran.
- Experience with cloud-optimized geospatial formats such as Cloud Optimized GeoTIFF, GeoParquet, and related standards.
- Knowledge of CMIP outputs and shared socioeconomic pathways.
- Practical experience using AI tools such as Claude Code or Codex to write production scientific code and pipelines.
Nice to have
- Familiarity with financial services and index products.
Culture & Benefits
- Flexible working arrangements, advanced technology, and collaborative workspaces.
- Transparent compensation schemes and comprehensive employee benefits tailored to the work location.
- Learning opportunities through the Global Orientation program, Learning@, AI Learning Center, LinkedIn Learning Pro, and tailored development programs.
- Professional growth through multi-directional career paths, internal mobility, and expanded roles.
- An inclusive environment supported by employee resource groups and a global network of colleagues.
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