ESG Data Scientist

carbmee

HybridPosted July 29, 2026

About the role

Most emissions data in the world is incomplete by default, and the difference between a rough estimate and a defensible carbon footprint often comes down to how well you model gaps in the data. As an ESG Data Scientist at carbmee, you will build models and inference logic that turn fragmented, partial customer and supplier data into accurate Corporate, Scope 3, and Product carbon footprints (CCF, SCF, PCF) at enterprise scale. This is a modeling and applied ML role grounded in a real domain challenge: when a customer's data is missing a key field, you will understand why this forces a fallback from activity-based to spend-based emissions estimation, and you will build models that make that fallback as accurate as possible rather than a rough guess.

ESG Data Scientist

carbmee

HybridPosted July 29, 2026

About the role

Most emissions data in the world is incomplete by default, and the difference between a rough estimate and a defensible carbon footprint often comes down to how well you model gaps in the data. As an ESG Data Scientist at carbmee, you will build models and inference logic that turn fragmented, partial customer and supplier data into accurate Corporate, Scope 3, and Product carbon footprints (CCF, SCF, PCF) at enterprise scale. This is a modeling and applied ML role grounded in a real domain challenge: when a customer's data is missing a key field, you will understand why this forces a fallback from activity-based to spend-based emissions estimation, and you will build models that make that fallback as accurate as possible rather than a rough guess.

Your tasks include developing and fine-tuning machine learning models and LLM-based workflows to improve emissions data coverage, accuracy, and inference at scale, including estimation logic for incomplete supplier or product data. Build the logic layer that handles real-world data gaps—missing weights, inconsistent units, unmapped commodities, and other patterns that appear in customer ERP exports. Work with LLM-assisted data mapping (we use Claude extensively) and develop validation and guardrail logic that catches hallucinated mappings before they reach a customer's numbers. Design and evaluate models against the GHG Protocol scope structure, including the Scope 3.1/3.4 split underlying the Supply Chain Carbon Footprint, so outputs are not only statistically sound but methodologically correct. Analyze model performance across

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