Manager, Data Science & Machine Learning

Skip to main content Manager, Data Science & Machine Learning Lightspeed Commerce Canada Apply Join or sign in to find your next job Join to apply for the Manager, Data Science & Machine Learning role at Lightspeed Commerce Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Manager, Data Science & Machine Learning Lightspeed Commerce Canada 2 days ago 35 applicants See who Lightspeed Commerce has hired for this role Apply Join or sign in to find your next job Join to apply for the Manager, Data Science & Machine Learning role at Lightspeed Commerce Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Save Report this job Hi there! Thanks for stopping by 👋Are you actively looking for a new opportunity? Or just checking the market? Well… you might just be in the right place!We’re looking for a Manager, Data Science & Machine Learning to join our Data team in Canada. The Manager, Data Science & Machine Learning is a hands-on leader, responsible for guiding a high-performing team of data scientists to deliver impactful, production-ready solutions across the organization. This role is responsible for driving Data Science & Machine Learning model delivery from experimentation through production, owning the Data Science Enablement roadmap planning while contributing to the Data Office’s org roadmaps, and building the team capabilities needed to scale the practice.What You’ll Be DoingData Science Management & EnablementLead, oversee and own, as needed, the full lifecycle of Data Science & Machine Learning models from experimentation to production deployment.Own the day-to-day management of the team by ensuring the right work is being prioritized, the team is unblocked, and delivery standards are consistently met.Define, document, and champion data science best practices: covering modeling standards, code quality, experimentation frameworks, and documentation.Serve as a subject matter authority and internal resource for other data science teams: advising on methodology, reviewing approaches, and helping teams solve complex or ambiguous problems.Collaborate with Data Science leads in other parts of the business to align on standards, share learnings, and create a cohesive data science community of practice. Additionally, surfacing opportunities for collaboration, flagging where work is being duplicated, and brokering knowledge transfer across the organization.Collaborate with the MLOps team on the production release and ongoing...