Modeling Scientist

Primary Job Responsibilities

• Generate and apply model traceability framework for ecosystem and biogeochemical models to enable rigorous model testing and improvements
• Design and implement uncertainty quantification framework, including parameter, structural, aleatory, and epistemic uncertainties
• Apply sensitivity analysis, multivariate testing, and cross-validation to evaluate model robustness and generalizability
• Quantify and communicate model confidence, uncertainty bounds, and performance metrics
• Develop hierarchical and Bayesian approaches for distributed and iterative model optimization
• Apply probabilistic methods to integrate data, models, and uncertainty across scenarios
• Analyze model outputs to diagnose limitations and inform model improvement strategies
• Integrate machine learning techniques with process-based models to improve predictive performance
• Partner with data engineers to implement reproducible, scalable modeling pipelines
• Contribute to the design of model evaluation and optimization workflows
• Communicate uncertainty, confidence intervals, and model performance clearly to stakeholders
• Create scientific reports, model documentation, and peer-reviewed publications as appropriate
• Support defensible, auditable model outputs for regulatory and credit market review

Key Competencies / Requirements

• 5+ years demonstrated experience in uncertainty quantification, probabilistic modeling, and data model integration
• Advanced proficiency in Python and scientific computing, with experience building reproducible modeling pipelines
• Strong software engineering practices, including writing modular, testable, and well-documented code
• Deep commitment to scientific rigor, transparency, and integrity
• Familiarity with ecosystem or Earth system models such as DayCent or CESM
• Familiarity with cloud platforms and data systems, including AWS and relational or spatial databases
• Master’s or PhD degree or equivalent experience in Statistics, Applied Mathematics, Environmental Science, Earth System Science, Biology, or a related quantitative field