Remote Modeling Scientist: Uncertainty Quantification

Arva Intelligence; Houston (TX); On-site; USD 100,000 - 160,000; Full time

Job summary

Arva Intelligence is seeking a Modeling Scientist (Uncertainty Quantification) to enhance model traceability and predictive trustworthiness in greenhouse gas emission predictions. The role involves designing robust frameworks and integrating machine learning with process-based modeling.

Qualified candidates will have over 5 years of experience, advanced Python skills, and a Master’s or PhD in a quantitative field. The position is remote within the United States and provides a competitive salary range of $100k - $160k.

Qualifications

• 5+ years of experience in uncertainty quantification, probabilistic modeling, and data model integration.
• Advanced proficiency in Python and experience building reproducible modeling pipelines.
• Strong software engineering practices with a commitment to scientific rigor.

Responsibilities

• Generate and apply a model traceability framework.
• Design and implement an uncertainty quantification framework for models.
• Analyze model outputs to diagnose limitations and inform improvements.

Skills

Uncertainty quantification

Probabilistic modeling

Python

Scientific computing

Machine learning integration

Education

Master’s or PhD in Statistics, Applied Mathematics, Environmental Science, or related field

Tools

AWS

Relational databases

Spatial databases

Job description

Arva Intelligence is seeking a Modeling Scientist (Uncertainty Quantification) to enhance model traceability and predictive trustworthiness in greenhouse gas emission predictions. The role involves designing robust frameworks and integrating machine learning with process-based modeling.

Qualified candidates will have over 5 years of experience, advanced Python skills, and a Master’s or PhD in a quantitative field. The position is remote within the United States and provides a competitive salary range of $100k - $160k.