Senior Machine Learning Engineer, Causal & Decision Systems
Hybrid (Toronto, ON)Full-timePosted 2mo ago
About the role
CSC Generation is building closed-loop decision systems that use machine learning to operate consumer businesses more intelligently, starting with pricing and expanding into inventory, purchasing, promotions, marketing, and assortment.
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
Qualifications
- 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
Skills
Required:Machine learning and statistical modelingCausal inference and experimentationUncertainty estimationPython, SQL, and large behavioral datasets
Nice to have:Bandits, reinforcement learning, optimization, or active learning
Benefits
- Comprehensive health, dental, and vision coverage
- RRSP matching
- paid time off
- access to cross-brand employee discounts across the CSC Generation portfolio
Last updated Oct 21, 2026. Interested? Apply on the company site.
About CSC Generation
AI Native Retail Future: Commerce AGI
CSC Generation is the AI-native retail holding company. We modernize iconic brands with data, automation and our Genesis platform to build the future of Commerce AGI.
retailautomationAIdataplatformsmergers and acquisitions
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