Global Commodity Sourcing Data Scientist

Atmospheric AI Limited is building quantitative models to infer supplier networks, origins, and flows from incomplete evidence in a 16 trillion-dollar materials economy. You'll design probabilistic, network-based approaches that respect physical constraints and deliver traceable results that scale across suppliers and facilities.

You'll own the sourcing model, product-origin inference, and the evidence layer, choose appropriate validation strategies, and ship production-grade Python modules with