Staff Causal ML Scientist - Production Uplift & Evaluation

DoorDash is hiring a Causal Machine Learning Engineer to build production causal systems powering decisions across New Verticals. The role focuses on uplift models, counterfactual evaluation, and connecting experimentation with ML decisioning in a high‑scale marketplace.

You will join a senior causal ML and econometrics pod, translating causal models into production scoring, ranking, and allocation decisions while collaborating with ML engineers, data scientists, economists and product partners.