Arvaintelligence
Modeling Scientist
Houston, Texas
Work authorization required$100k-$160kDetected 35 days ago
PythonAWSCloud PlatformsMachine LearningStatisticsCommunication
About the role
- The Modeling Scientist plays a critical role in translating scientific rigor into real-world impact through credible, auditable modeling systems.
- Employment Eligibility Only applicants currently, and in the future, eligible to work in the United States will be considered for this position.
- Summary: The Modeling Scientist is responsible for enhancing model traceability, uncertainty quantification, and predictive trustworthiness within Arva's ecosystem model predictions.
Responsibilities
- Design and implement an uncertainty quantification framework, including parameter, structural, aleatory, and epistemic uncertainties.
- Develop hierarchical and Bayesian approaches for distributed and iterative model optimization.
- Partner with data engineers to implement reproducible, scalable modeling pipelines.
- Contribute to the design of model evaluation and optimization workflows.
- Support defensible, auditable model outputs for regulatory and credit market review.
Compensation
- Generate and apply model traceability framework for ecosystem and biogeochemical models to enable rigorous model testing and improvements
- Design and implement uncertainty quantification framework for the models, including parameter, structural, aleatory, and epistemic uncertainties
- Apply sensitivity analysis, multivariate testing, and cross-validation to evaluate model robustness and generalizability across space and time
- Quantify and communicate model confidence, uncertainty bounds, and performance metrics
- Develop hierarchical and Bayesian approaches to support distributed and iterative model optimization
- Apply probabilistic methods to integrate data, models, and uncertainty across scenarios
Benefits
- Integrate machine learning techniques with process-based models to improve predictive performance.
- Integrate machine learning techniques with process-based or mechanistic models to improve predictive performance and scalability
- Machine Learning and Model Integration
- Experience integrating machine learning with process-based or mechanistic models preferred
Company info
- This role is pivotal in advancing Arva's platform for monitoring, reporting, and verifying greenhouse gas emission reductions and removals.
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