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. We are starting with pricing and expanding into areas such as inventory, purchasing, promotions, marketing, and assortment.

Responsibilities

You will help build systems that estimate causal response and quantify uncertainty, choose actions, generate useful information, observe outcomes, update policies, evaluate challengers, and deploy within guardrails; Depending on your background, you may work across: 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

Exceptional technical ability and judgment; 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; Must share a valid LinkedIn profile URL in the application questions; Must be willing or able to meet for an in-person interview

Benefits

Comprehensive health, dental, and vision coverage; RRSP matching; paid time off; access to cross-brand employee discounts across the CSC Generation portfolio