Senior Machine Learning Engineer, Causal & Decision Systems
About this role
CSC Generation is hiring a full-time Senior Machine Learning Engineer for Causal & Decision Systems to work in a hybrid capacity in Toronto. This professional will design advanced decision-making systems and causal models to support a portfolio of iconic retail brands.
Role Overview
The Senior Machine Learning Engineer, Causal & Decision Systems position at CSC Generation involves building sophisticated machine learning models that drive automated retail operations. Working directly under the Chief Technology Officer, the chosen candidate will help modernize omnichannel retail processes using cutting-edge artificial intelligence. This role is ideal for a dedicated machine learning expert interested in applying causal inference and decision systems within a fast-paced retail holding environment.
Key Responsibilities
Requirements
Skills and Tools
About the Company
CSC Generation functions as an AI-native holding company dedicated to re-engineering omnichannel retail. The enterprise acquires well-known brands and revitalizes them using Genesis, an internal operating platform that integrates shared services, proprietary tools, an automation engine, and a robust data fabric. Generating over one billion dollars in revenue across thirteen brands, the portfolio includes trusted names like Sur La Table, Backcountry, and One Kings Lane, which operate as practical innovation labs.
How to Apply
Interested candidates should visit the official company careers page to submit an application for this hybrid Toronto role.
Questions candidates ask
What is the job title for this opening?
The job title is Senior Machine Learning Engineer, Causal & Decision Systems.
Where is the job located?
The position is a hybrid role based in Toronto, ON.
Who does this role report to?
This position reports directly to the Chief Technology Officer.
What company is hiring for this position?
CSC Generation is the hiring company.
How can I apply for this job?
Candidates can apply directly on the official company careers page.