Job Description

Responsibilities and Impact:
Identify, source, and conduct comprehensive reviews of datasets from multiple sources to support climate, environmental, nature/biodiversity, and regulatory datasets
Conduct comprehensive quality control reviews and validation of models, ensuring methodological rigor and accuracy in analytical outputs for research publications and client solutions
Conduct data validation and model testing to support implementation of quantitative models. These models will include climate physical risk, climate transition risk and opportunity assessment, environmental impact/emissions analysis and environmental impact valuation
Design and implement scalable data processing pipelines using Databricks
Execute data science analytical workflows for processing large-scale datasets using established statistical modeling and machine learning frameworks
Implement automation of analytical pipelines for climate, environmental, nature, and regulatory datasets followin...

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