Senior Machine Learning Engineer, Causal & Decision Systems
CSC Generation2 months ago
Toronto, CanadaSenior
Responsibilities
- Build causal and heterogeneous treatment-effect models for pricing and other commercial decisions.
- Develop systems for uncertainty estimation, calibration, contextual bandits, active learning, sequential decision-making, and policy learning.
- Implement constrained optimization, counterfactual and off-policy evaluation, experimentation, and champion/challenger systems.
- Build production ML infrastructure with monitoring and automated deployment.
- Own problems end to end from framing and modeling through deployment, evaluation, and controlled experiments.
- Help create decision systems that learn from interventions and operate safely across a portfolio of consumer businesses.
Requirements
- Experience with machine learning and statistical modeling.
- Experience in several relevant areas, including causal inference, experimentation, recommendation, advertising, pricing, marketplace, credit, or other decision systems.
- Experience with bandits, reinforcement learning, optimization, active learning, uncertainty estimation, counterfactual evaluation, or production ML systems.
- Strong technical ability and judgment, with experience using Python, SQL, and large behavioral datasets.
- Ability to work across modeling, production deployment, experimentation, and economic outcome evaluation.
Benefits
- Hybrid work arrangement in Toronto, Ontario.
- Comprehensive health, dental, and vision coverage.
- RRSP matching.
- Paid time off.
- Access to cross-brand employee discounts across the CSC Generation portfolio.
- Mandatory in-person interview at the Toronto office is part of the interview process.
Categories
About CSC Generation
CSC Generation is a Chicago-based holding company that acquires and restructures consumer retail brands, focusing on e-commerce and omnichannel operations. It runs an AI-driven operating platform and shared services to modernize merchandising, marketing, and supply chain, then operates the brands for profitability. Founded in 2016 and privately held, its portfolio has included Sur La Table and One Kings Lane, and it expands primarily through M&A.