Description
CSC Generation is hiring a Causal Decision-Making Machine Learning Engineer to build closed-loop systems that estimate causal effects, quantify uncertainty, select actions, evaluate challengers, and deploy decisions across consumer brands. The role spans causal modeling, contextual bandits, reinforcement learning, constrained optimization, counterfactual evaluation, experimentation, and production ML infrastructure. Candidates should have strong machine-learning and statistical-modeling ability, experience with decision systems, and proficiency in Python, SQL, and large behavioral datasets. The position is hybrid in Toronto, Ontario, with an in-person interview at the company’s Costa Rica office.
