Lightspeedhq

Manager, Data Science & Machine Learning

Montreal

Sponsorship not specifiedDetected 7 days ago

PythonDatabricksAWSGCPAzureMachine LearningData ScienceMLOpsA/B TestingRoadmappingStakeholder ManagementPerformance ManagementLeadershipCommunicationCollaboration

About the role

Thanks for stopping by 👋 Are you actively looking for a new opportunity?
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This includes new AI/ML features or other experimental approaches.

Responsibilities

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.
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.
Collaborate with the MLOps team on the production release and ongoing maintenance of their models.
Conduct regular 1:1s, provide timely and actionable feedback, and lead performance calibrations.
Identify growth opportunities, sponsor stretch assignments, and build individualized development plans.
Participate in project planning and technical brainstorming sessions with business stakeholders and other Data Office leads as an expert to help design and translate business problems into technical briefs and communicating results in non-technical terms.
Proactively manage expectations, surface risks early, and influence across cross-functional teams.
MLOps fluency to collaborate with Senior ML engineers in defining standards, reviewing infrastructure decisions, and unblocking technical challenges.

Requirements

3+ years of hands-on data science experience, with direct personal experience deploying models to production (not just experimentation or prototyping).
Demonstrated experience with ML engineering practices that include 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 with directly managing a team of data scientists, including hiring, performance management, and career development.
Proficiency in Python
Strong understanding of supervised/unsupervised ML, model evaluation, and common failure modes in production.
Comfort with cloud-based ML platforms (AWS, GCP, or Azure) and data warehousing environments.
Strategic thinking, you can zoom out to prioritize for impact, then zoom in to help unblock.
Strong communication, you can translate complex technical work for executive audiences without over-simplifying.
Structured thinking, you can rapidly assess a new project idea across value, feasibility, risk, and strategic fit

Skills

Set clear expectations, and individual performance goals for all direct reports.
For a glimpse into our world check out our career page here https://www.lightspeedhq.com/careers/.

Benefits

A flexible work environment that empowers you to do your best work
Equity options, because this is your company too
Contributions to your pension plan.
Health and wellness credit so you feel your best
Time off to volunteer and give back to your community
Enhanced parental leave to support growing families
Lead, oversee and own, as needed, the full lifecycle of Data Science & Machine Learning models from experimentation to production deployment.
Foster a collaborative team culture where experimentation and learning from failure are encouraged.
Flexible paid time off and remote work policies

Company info

Powering the businesses that are the backbone of the global economy, 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.
Lightspeed handles your information in accordance with our Applicant Privacy Statement https://www.lightspeedhq.com/legal/applicant-privacy-statement/.
Powering the businesses that are the backbone of the global economy, 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.
Lightspeed does not accept unsolicited agency resumes.
If we have not directly engaged your company in writing to supply candidates for a specific vacancy, Lightspeed will not be responsible for any fees related to unsolicited resumes.
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.
WHERE TO FROM HERE?
Contributing as part of the wider team to achieve organizational objectives even if this means doing things that aren't strictly within the scope of your role.

Visa & Work Authorization

Identify growth opportunities, sponsor stretch assignments, and build individualized development plans

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This listing is sourced directly from Lightspeedhq's careers page and normalized into a canonical job model.