Toronto, On Lead python full stack data engineer Jobs – 148 Openings This Week

Lead Scientist - Applied ML
Canadian Tire Corporation, Ltd. —Toronto, ON
- $79,000–$131,000 a year
- Full-time
- SQL
- In-person
- Python
- Store discount
- Profit sharing
Quick apply
Director Data Engineering
MCKESSON —Mississauga, ON
- $126,900–$169,200 a year
- Azure
- Computer Science
- DevOps
Principal Software Engineer - Platform, Identity and BI
Calabrio —Toronto, ON
- On call
- Remote
- DevOps
- Java
- SQL
- Designated paid holidays
- Disability insurance
Quick apply
Senior Security Engineer
Solink —Toronto, ON
- $120,000–$150,000 a year
- Full-time
- Hybrid work
- Computer Science
- Engineering
- AWS
- Dental care
3d
Staff AI Security Researcher (Global Security)
Royal Bank of Canada —Toronto, ON
- Full-time
- DevOps
- Research
- Java
14d
Senior Systems Engineer, R&D Business Systems
Fivetran —Toronto, ON
- $125,882.00–$151,064.50 a year
- Full-time
- Hybrid work
- English
- Java
- SQL
- Paid time off
- Paid sick leave
Quick apply
Senior Software Developer (Software Engineering Manager Development Program)
PheedLoop Inc. —Toronto, ON
- $90,000 a year
- Full-time
- Hybrid work
- Databases
- SQL
- AWS
Quick apply
Senior Manager, Software Development
Autodesk —Toronto, ON
- Full-time
- Computer Science
- DevOps
- System design
Cloud Platform DevOps Engineer - Assistant Vice President
Citi —Mississauga, ON
- $94,300–$141,500 a year
- Full-time
- Hybrid work
- Azure
- Oracle
- Computer Science
Senior Agentic AI Architect
Bell —Mississauga, ON
- Full-time
- Hybrid work
- Computer Science
- DevOps
- Engineering
- Dental care
3d
Senior Site Reliability Engineer
iManage —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Engineering
- Java
- Dental care
- Paid time off
Quick apply
Principal AI Security Researcher (Global Security)
Royal Bank of Canada —Toronto, ON
- Full-time
- DevOps
- Research
- Java
RF Systems Engineer
PheedLoop Inc. —Toronto, ON
- Full-time
- Doctoral degree
- Engineering
- Master's degree
Quick apply
Director, Data Science
Capital One —Toronto, ON
- Full-time
- Hybrid work
- Doctoral degree
- Data analysis skills
- Finance
5h

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Director Data Engineering
MCKESSON —Mississauga, ON
Leverage AI in Data Engineering lifecycle, accelerate code generation, and design and implement robust data pipelines (optimize SQL performance, and implement…
$126,900–$169,200 a year
Strategic Sourcing Manager
Romet Limited Canada —Mississauga, ON
Bachelor’s degree in supply chain, business, engineering, or related field (MBA is an asset). Today, Romet is an international market leader that provides end-…
$80,000–$100,000 a year

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Lead Scientist - Applied ML
Canadian Tire Corporation, Ltd. —Toronto, ON
With more than 90 Owned Brands, 1,700 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising…
$79,000–$131,000 a year
Quick apply

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Lead Scientist - Applied ML

Canadian Tire Corporation, Ltd. -
Toronto, ON

Quick apply

Job details

Full-time
$79,000–$131,000 a year

Qualifications

SQL
Python

Full job description

What you’ll do

We’re looking for an Applied ML Lead Scientist who blends predictive modelling & complex analysis with AI strategy and scalable delivery. You will own high-impact models (forecasting, optimization, causal inference) and shape the patterns, platforms, and guardrails that let teams ship AI at scale (agentic workflows, MLOps). You’ll partner across Merchandising, Dealers, and Engineers to turn models into value, deployment faster, create reusable components, and measurable business outcomes.

Outcomes & KPIs (what success looks like)

· Business impact: Incremental sales & margin lift, markdown recovery ratio, inventory turns, stock-out reduction.

· Model performance: Forecast/optimization accuracy, causal validity, lift vs. baseline, drift & stability metrics.

· Scale & reuse: # of workloads on common patterns (feature/embedding stores), service reliability (SLOs), time-to-production.

· Adoption & enablement: Utilization of ML/AI features in Merch/Stores workflows, stakeholder satisfaction, training coverage.

· Governance & risk: Policy conformance, evaluation/guardrail incidents prevented, cost-to-value adherence.

Key Responsibilities

1) Predictive Modelling & Decision Science

Lead development of forecasting, price/markdown/assortment optimization, propensity and uplift models.
Design experimentation & causal inference (A/B, quasi-experiments, synthetic controls) to prove impact.
Translate complex analysis into clear decisions and playbooks for Merch, Stores, and Dealer partners.

2) AI Strategy & Scaling

Define applied AI technical direction for priority initiatives (agentic systems, recommendations).
Establish reusable patterns (prompt/agent orchestration, retrieval, evaluation) and champion platform leverage (e.g., feature/embedding stores, registries).

3) Agentic AI & Applications

Guide the build of task-oriented agents and pipelines that combine reasoning, tool use, and workflow automations.
Integrate agents into business surfaces (e.g., Teams apps, dashboards, operational tools) with safe autonomy and observability.

4) MLOps, Reliability & Cost

Partner with Engineering to productionize models/services (CI/CD, serving, monitoring, evals, rollback).
Partner with QA teams to measure and optimize latency, availability, cost-to-value, and model lifecycle

5) Governance & Risk Management

Partner with governance teams to embed AI/DS governance (data use, privacy, safety, bias, evals) into development and release processes.
Guide team to document decisions, assumptions, and model cards; drive remediation when risks surface.

6) Leadership & Influence

Lead cross-functional delivery with notable complexity/risk; mentor DS peers and analysts.
Persuade senior stakeholders with crisp narratives and quantified trade-offs

What you bring to the team

5+ years across data science & ML, including retail/operations use-cases (or adjacent large-scale domains).
Deep fluency in Python/SQL, classical ML, time-series, optimization, causal inference, and experimentation.
Practical experience with LLMs/RAG (prompt/agent orchestration, retrieval design, evals/guardrails).
Hands-on MLOps (serving, monitoring, drift detection, model registries, CI/CD) on a modern cloud stack.
Experience with Databricks/MLflow/feature stores; vector DBs; cost/perf tuning for AI workloads.
Prior work building agentic or workflow-automation systems.
Track record influencing at VP/SVP levels, translating technical complexity into business outcomes.

Our typical hiring range is between $79,000.00 - 131,000.00 CAD Annual. Salary decisions are also dependent on other factors such as your experience, job-related knowledge, skills and competencies, market location, industry benchmarks, internal equity and other role-specific requirements.

This posting represents an existing vacancy within our organization.

About Us:

Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies. With more than 90 Owned Brands, 1,700 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business. We invest in new technologies and products while doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement savings programs for eligible employees.

Core Values:

We are innovators and entrepreneurs at our core; outcomes drive us; inclusion is a must; we are stronger together; we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us—there's a place for you here.

Our Commitment to Diversity, Inclusion, and Belonging:

We are committed to fostering an environment where belonging thrives, and diversity, inclusion, and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, or identification. We are united in our purpose of being here to help make life in Canada better.

Accommodations:

We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, among others. Should you require any accommodation in applying for this role or throughout the interview process, please make them known when contacted so we can work with you to meet your needs.

Job Type: Full-time

Pay: $79,000.00-$131,000.00 per year

Benefits:

Dental care
Disability insurance
Employee assistance program
Extended health care
Flexible schedule
Life insurance
Paid time off
Store discount
Tuition reimbursement
Vision care
Wellness program

Work Location: In person

Quick apply

Refine Your Search

lead python full stack data engineer jobs in toronto, on

Lead Scientist - Applied ML

Director Data Engineering

Principal Software Engineer - Platform, Identity and BI

Senior Security Engineer

Staff AI Security Researcher (Global Security)

Senior Systems Engineer, R&D Business Systems

Senior Software Developer (Software Engineering Manager Development Program)

Senior Manager, Software Development

Cloud Platform DevOps Engineer - Assistant Vice President

Senior Agentic AI Architect

Senior Site Reliability Engineer

Principal AI Security Researcher (Global Security)

RF Systems Engineer

Director, Data Science

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