Fullstack Data Scientist - Environmental Intelligence
About the role
The fashion industry is responsible for 5–10% of global greenhouse gas (GHG) emissions. As pressure for climate action grows, more companies are turning to carbon management tools. But most platforms are generic, lacking the depth needed for driving real change in fashion.
Carbonfact is the Environmental Intelligence Platform built specifically for the textile and fashion industry. We turn messy, real-world business data into environmental intelligence — enabling any fashion company to measure, model, reduce and report on its impact with confidence.
We’ve raised $17M from top-tier investors including Alven, Headline, and Y Combinator, and we’re already trusted by leading brands like Carhartt, GANNI, On, Allbirds, Armedangels, Jack Wolfskin, and many more.
Data Scientist at Carbonfact
Our platform is organized around four pillars: Collect customer data through custom connectors, Measure impact from a single process to an entire brand, Reduce footprint through simulation tools, and Report with audit-ready, regulation-compliant outputs.
As a Data Scientist, you sit at the heart of the Collect and Measure pillars. Fashion brands send us bills of materials, catalogs, purchase orders — in different formats, with gaps, inconsistencies, and ambiguities. You make that data flow: parsing, normalizing, enriching, filling the gaps, flagging anomalies, and connecting it to our LCA engine so brands can measure and reduce their footprint.
You'll leverage AI as a power tool in your daily work to keep our connectors lean. What matters is your judgment on data quality, ability to write production-grade code, and instinct for spotting what's wrong in a dataset before it reaches a customer.
