Senior Machine Learning Engineer, Causal & Decision Systems

CSC Generation is building closed-loop decision systems that use machine learning to operate consumer businesses more intelligently, beginning with pricing and expanding across inventory, purchasing, promotions, marketing, and assortment. The Senior Machine Learning Engineer will develop causal and decision systems that estimate response, quantify uncertainty, select actions, learn from outcomes, evaluate policies, and deploy safely within business constraints.

Responsibilities:

• Causal and heterogeneous treatment-effect modeling
• Uncertainty estimation and calibration
• Contextual bandits, active learning, or sequential decision-making
• Policy learning and constrained optimization
• Counterfactual and off-policy evaluation
• Experimentation and champion/challenger systems
• Production ML infrastructure, monitoring, and automated deployment

Requirements:

• machine learning and statistical modeling
• causal inference and experimentation
• recommendation, advertising, pricing, marketplace, credit, or other decision systems
• bandits, reinforcement learning, optimization, or active learning
• uncertainty estimation
• counterfactual evaluation
• production ML systems
• Python, SQL, and large behavioral datasets