Principal Data Scientist - Causal Inference

An optimization platform for Consumer Packaged Goods (CPG) leaders, translating commercial, supply chain, and pricing complexity into dynamic decision workflows is seeking a Principal Data Scientist. This role centers on predictive modeling, causal inference, time-series forecasting, and optimization. You'll build the analytical engines powering our CPG decision workflows — turning messy, multi-source retail data (POS, syndicated data, trade promotion inputs, inventory logs) into predictive insight, bridging historical reporting and forward-looking experimentation. They are advised by leading academic experts in causal inference and want someone excited to bridge academia and industry.