Environmental Data Scientist for Fashion Carbon Footprint

Carbonfact

Paris

Hybride

EUR 55 000 - 74 000

Plein temps

14 jours+
Générateur de candidature

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Avantages offerts par ce poste

AI-first tooling
Hybrid Paris office
Health insurance
Learning budget
Equity package

Résumé du poste

Carbonfact, the Environmental Intelligence Platform for fashion, seeks a Data Scientist to transform messy data into reliable environmental insights. You’ll parse, normalize, and enrich datasets from BOMs, catalogs and orders, connecting them to our LCA engine to quantify footprints.

You’ll work with frontline data, join client calls, and occasionally visit brands on site. You’ll apply production-grade Python and AI-augmented workflows to deliver measurable decarbonization impact.

Qualifications

  • 2+ years of professional experience in data science or analytics engineering.
  • Strong Python programming and data tooling capabilities.
  • Excellent written and oral English for customer discussions.

Responsabilités

  • Parse, normalize, and transform raw business data into Carbonfact's internal data models.
  • Build and improve automated gap-filling and anomaly detection on customer datasets.
  • Develop analytics on customer data for internal use and external presentation to brands.
  • Contribute to building and improving the Carbonfact platform.
  • Partner with Customer Operations and Science teams to deliver value to customers.
  • Handle technical integration discussions with customers.

Connaissances

Python programming
SQL
Data engineering
NLP basics
English communication
Git

Outils

Git

Description du poste

Carbonfact, the Environmental Intelligence Platform for fashion, seeks a Data Scientist to transform messy data into reliable environmental insights. You’ll parse, normalize, and enrich datasets from BOMs, catalogs and orders, connecting them to our LCA engine to quantify footprints.

You’ll work with frontline data, join client calls, and occasionally visit brands on site. You’ll apply production-grade Python and AI-augmented workflows to deliver measurable decarbonization impact.

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