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About the Role

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. This role drives Data Science & Machine Learning model delivery from experimentation through production, owns the Data Science Enablement roadmap, and builds team capabilities.

Responsibilities

• Lead, oversee and own the full lifecycle of Data Science & Machine Learning models from experimentation to production deployment.
• Manage the team by ensuring work prioritization, unblocking team members, and meeting delivery standards.
• Define, document, and champion data science best practices including modeling standards, code quality, experimentation frameworks, and documentation.
• Serve as a subject matter expert and internal resource for other data science teams, advising on methodology and reviewing approaches.
• Collaborate with Data Science leads to align on standards, share learnings, and create a cohesive data science community of practice.
• Collaborate with the MLOps team on production release and ongoing maintenance of models.
• Set clear expectations and individual performance goals for direct reports.
• Conduct regular 1:1s, provide actionable feedback, and lead performance calibrations.
• Identify growth opportunities, sponsor stretch assignments, and build individualized development plans.
• Foster a collaborative team culture that encourages experimentation and learning from failure.
• Participate in project planning and technical brainstorming sessions with business stakeholders.
• Translate business problems into technical briefs and communicate results in non-technical terms.
• Proactively manage expectations, surface risks early, and influence across cross-functional teams.
• Represent the team's work in leadership forums, steering committees, and quarterly business reviews.
• Contribute to organizational objectives as part of the wider team.

Requirements

• 3+ years of hands-on data science experience with direct personal experience deploying models to production.
• Demonstrated experience with ML engineering practices including model serving, monitoring, drift detection, retraining pipelines, and/or feature stores.
• Familiarity with modern MLOps tooling (e.g. MLflow, Vertex AI, Databricks).
• 4+ years of experience directly managing a team of data scientists, including hiring, performance management, and career development.
• Proficiency in Python; comfortable reading and reviewing code, models, and pipeline logic.
• Strong understanding of supervised/unsupervised ML, model evaluation, and common failure modes in production.
• MLOps fluency to collaborate with Senior ML engineers in defining standards, reviewing infrastructure decisions, and unblocking technical challenges.
• Comfort with cloud-based ML platforms (AWS, GCP, or Azure) and data warehousing environments.
• Strategic thinking to prioritize for impact and help unblock issues.
• Strong communication skills to translate complex technical work for executive audiences.
• Structured thinking to assess project ideas across value, feasibility, risk, and strategic fit.
• Ability to proactively identify dependencies, risks, and blockers.
• Strong prioritization instincts, ability to thrive in ambiguous environments, and navigate competing project ideas.
• Applicants must disclose any criminal convictions; criminal record checks are conducted for this role.

Skills

• Data Science
• Machine Learning
• MLOps
• Python
• Cloud-based ML platforms (AWS, GCP, Azure)
• Data Warehousing
• Strategic Thinking
• Communication
• Structured Thinking
• Prioritization

Location

• Canada

Work Type

• Flexible work environment
• Remote work policies

Experience Level

• Managerial experience
• 3+ years of hands-on data science experience
• 4+ years of experience managing a team of data scientists

Salary/Compensations

• $155-165K CAD

Benefits

• Flexible paid time off
• Remote work policies
• Equity options
• Contributions to pension plan
• Training opportunities
• Health and wellness credit
• Time off to volunteer
• Interest groups
• Employee led networks
• Social committees
• Sponsored sports teams
• Computer purchase program (Macbook)
• Enhanced parental leave
• Medical insurance
• Dental insurance
• Life insurance
• Disability insurance
• RRSP plan and match
• Paid parental leave top-up

About the Company

• Lightspeed is building communities through commerce, and we need people from all backgrounds and lived experiences to do that.
• Lightspeed's one-stop commerce platform helps merchants innovate to simplify, scale, and provide exceptional customer experiences.
• Our cloud commerce solution transforms and unifies online and physical operations, multichannel sales, expansion to new locations, global payments, financial solutions, and connection to supplier networks.
• Founded in Montréal, Canada in 2005, Lightspeed is dual-listed on the New York Stock Exchange (NYSE: LSPD) and Toronto Stock Exchange (TSX: LSPD).
• With teams across North America, Europe, and Asia Pacific, the company serves retail, hospitality, and golf businesses in over 100 countries.

Equal Opportunity

• Lightspeed is a proud equal opportunity employer and we are committed to creating an inclusive and barrier-free workplace.
• Lightspeed welcomes and encourages applications from people with disabilities.
• Accommodations are available on request for candidates taking part in all aspects of the selection process.