Description
Carbonfact is hiring a Data Scientist to parse, normalize, enrich, and validate heterogeneous fashion-industry business data such as bills of materials, catalogs, and purchase orders. The role builds automated gap-filling and anomaly-detection capabilities, develops customer-facing analytics, improves the platform, and partners with Customer Operations and Science teams. It requires at least two years of professional experience, strong applied Python, software engineering fundamentals, NLP basics, SQL, and English communication skills. The position is based in Paris with a flexible remote policy but does not accept full remote work.
