Senior Machine Learning Engineer, Causal & Decision Systems

Senior Machine Learning Engineer, Causal & Decision Systems at Cscgeneration-2 in Toronto, ON (Hybrid)

What This Role Involves

The role involves building systems that estimate causal responses and quantify uncertainty, choosing actions based on these estimates, generating useful information, observing outcomes, updating policies, evaluating challengers, and deploying within guardrails. Key questions include: What happens because we change a price? How should uncertainty affect a decision? When to exploit knowledge versus experiment for learning? Can the value of a challenger policy be estimated before full deployment? How can economic outcomes be optimized while respecting constraints?

What You'll Do

You will work on various projects depending on your background, including 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. The focus is on selecting the right method rather than using a specific framework.

Who We're Looking For

We are seeking candidates with strong skills in causal inference, machine learning, and decision-making under uncertainty. Experience in modeling complex systems, handling large datasets, and developing robust ML infrastructure is essential. A deep understanding of economic principles and business operations is also required.

About the Company

CSC Generation builds closed-loop decision systems that use machine learning to operate consumer businesses more intelligently. Starting with pricing, we are expanding into inventory, purchasing, promotions, marketing, and assortment. Our goal is to create systems that produce measurable economic lift in controlled experiments, generalize across businesses, learn from interventions, and safely automate increasing commercial decisions.

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