Jobs in Canada

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Added 2 months ago
Senior Financial Analyst
Rogers Communications
Toronto, ON
Experience querying and manipulating data using SQL, building dashboards and visualizations using Power BI
Added 2 months ago
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Analyste BI senior
AtkinsRéalis
Montreal, QC
- Full-time
Develop and optimize SQL queries, data transformation processes and reporting solutions.
Added 2 months ago
SG
Tech Ops Engineer
Scientific Games
HR Canada
- Full-time
Automatisez les tâches opérationnelles à l'aide de Bash, Python, PowerShell, Ansible, Terraform, SQL, CloudFormation ou d'outils équivalents afin de réduire les tâches manuelles,…
Added 6 months ago
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Senior Backend Engineer (.NET & AI/ML)
Zonda
Toronto, Ontario
- $110,000 to $130,000 CAD / year
- Full-time
This is a dual-focus role: you will spend meaningful time on both core backend engineering (.NET, gRPC microservices, SQL Server, MongoDB, Elasticsearch, AWS, Azure) and AI/ML engineering…
Added 6 months ago
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Senior Backend Engineer (.NET & AI/ML)
Zonda
Montreal, Quebec · Greater Montreal Metropolitan Area
- $110,000 to $130,000 CAD / year
- Full-time
This is a dual-focus role: you will spend meaningful time on both core backend engineering (.NET, gRPC microservices, SQL Server, MongoDB, Elasticsearch, AWS, Azure) and AI/ML engineering…
Added 6 months ago
Z
Senior Backend Engineer (.NET & AI/ML)
Zonda
Vancouver, British Columbia
- $110,000 to $130,000 CAD / year
- Full-time
This is a dual-focus role: you will spend meaningful time on both core backend engineering (.NET, gRPC microservices, SQL Server, MongoDB, Elasticsearch, AWS, Azure) and AI/ML engineering…
Added 6 months ago
S
MuleSoft Senior Developer- Enterprise
Slalom
Toronto, Ontario · Greater Toronto Area, Canada
- Full-time
Ability to program in object oriented and/or functional programming languages such as Java, C#, Python, JavaScript, etc.
Added 6 months ago
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Optimum Adobe Engineer (contract)
Capgemini
Toronto, Ontario
- Contract
Develop automation and creative workarounds using SQL and Python.
Added 7 months ago
KC
Senior Manager GRC
KPMG Canada
Toronto, Ontario
- Full-time
Technical skills Java, JavaScript; REST/SOAP, JSON/XML; Python/PowerShell; SQL.
Added 6 months ago
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Développeur en tests logiciels - Software Developer in Test
OneSpan
Montreal, Quebec
- Full-time
A Software Developer in Test (SDET) is a hybrid role that blends software engineering expertise with deep testing skills. SDETs design, develop, and maintain automated test frameworks,…
Added 6 months ago
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Principal Data Scientist (m/f/d)
AutoTrader.ca
Toronto, Ontario
- Full-time
Join our global Data Science team and take a leadership role in shaping the future of the automotive marketplace through cutting-edge AI and machine learning. As a Principal Data Scientist,…
Added 2 months ago
Senior - Decision Modelling (Toronto)
EY
Toronto, ON
To qualify for the role, you must have:
Added 4 months ago
JA
Python Developer - QIS (Indexes)
Jay Analytix
Toronto, Ontario
- Contract
We are seeking a seasoned Python Developer with strong experience in Quantitative Investment Strategies (QIS) and index products to join our Toronto-based team. In this role, you will…
Added 4 months ago
JA
UI React Developer (QTS)
Jay Analytix
Toronto, Ontario
- Contract
Location: Toronto, Ontario (Hybrid - 3 days in office)
Added 4 months ago
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NetSuite SCM Engineer - Inventory, WMS & Fulfillment
Lime
Remote, Canada
- $102,000 to $143,000 CAD / year
- Full-time
- Remote
Data & Version Control: Strong understanding of SQL for reporting and data management, along with familiarity with Git-based version control systems and the SuiteCloud Development Framework…
Added 2 months ago
NE
Junior Developer - Winter 2027 Co-op
Nexus Energy Inc.
Toronto, ON
- $20 to $22 CAD / hour
- Full-time
Basic knowledge of SQL and relational databases.
Added 2 months ago
KT
Software Engineer in Test (ETL)
Kaizen Technologies
ON · Ontario, Canada
- Contract
Development Experience – Must Have
Added 2 months ago
SI
Back End Developer
Siri InfoSolutions, Inc.
Toronto, ON
- $70 to $75 CAD / hour
- Contract
We are looking for skilled Python Backend Engineers to build and scale high-performance backend systems. The role will focus on API development, platform engineering, and system design…
Added 2 months ago
R&
Senior Actuarial Analyst, Property & Casualty
Robertson & Company Ltd.
Toronto, ON
- Full-time
Strong programming and analytical capabilities, ideally including Python and SQL; experience with PySpark is beneficial.
Added 2 months ago
Litigation Support - Case Manager, eDiscovery & Litigation Support
Burnet, Duckworth & Palmer
Calgary, AB
Stage, process, extract, image and validate electronically stored information using enterprise, SQL-backed eDiscovery platforms;
Added 2 months ago
DI
Test Automation Developer - Winter 2027 Co-op/Intern
Definity Insurance Company
Waterloo, ON
- Full-time
Hands-on skill and utilization of SQL for the querying of data
Added 2 months ago
Compliance Analyst
Government of Alberta
Edmonton, AB
Experience using SAS, SQL, R, or Python to query, extract, manipu
Added 2 months ago
VS
Senior Reliability/Test Engineer
VIAVI Solutions
Ottawa, ON
- Full-time
SQL database programming experience for test record and data management.
Added 6 months ago
TC
Unpaid Internship - ML Engineering
The Commons XR
Remote, Canada
- Remote
SQL, Python, AWS (Postgres, EC2, S3, Sagemaker, Bedrock, Cloudwatch, VPN), BigQuery, Unity, Docker, Kubernetes, GSuite, Microsoft Office Suite, Slack, Git, Bash, C#, JS, SiteGround…
Added 6 months ago
V
Associate AI Software Engineer
VoiceValet
Vancouver, British Columbia
- $60,000 to $80,000 CAD / year
- Full-time
Understanding of relational databases and the ability to write basic SQL queries

AutoTrader.ca

Principal Data Scientist (m/f/d)

Toronto, ON, Canada

The base salary range for this position is CAD 180K – CAD 200K. · Full-time

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Job details

Pay: The base salary range for this position is CAD 180K – CAD 200K.
Job type: Full-time
Posting language: English
Posted: May 4, 2026

Original job description

We are a Canadian leader in digital automotive solutions. Our flagship brands - AutoTrader.ca, AutoSync, Dealertrack Canada and CMS - help Canadians buy, sell, and finance vehicles with confidence.

AutoTrader.ca is Canada’s largest automotive marketplace, with over 25 million monthly visits.

As part of AutoScout24 group, Europe’s largest online car marketplace, we’re shaping the future of automotive retail in Canada and beyond.

Join our global Data Science team and take a leadership role in shaping the future of the automotive marketplace through cutting-edge AI and machine learning. As a Principal Data Scientist, you’ll spearhead high-impact AI initiatives that influence millions of users worldwide, with a focus on both strategic vision and hands-on innovation. In this role, you’ll collaborate cross-functionally with product, engineering, and business teams to design, build, and scale AI solutions that set us apart in the industry. You’ll bring deep technical expertise, a passion for innovation, and a strong product mindset to develop ML products that solve real-world problems and deliver measurable business value. Our ideal candidate is an experienced data science leader who thrives in a dynamic, fast-paced environment that combines the stability of an industry leader with the agility of a startup culture. You are curious, proactive, and committed to continuous learning, especially in emerging areas like Generative AI and Large Language Models (LLMs). You should be comfortable engaging with all levels of the organization, from peers to executives, and possess the ability to distill complex information into clear, actionable strategies that drive business decisions and create value. What You’ll Do: - Shape the strategic direction and vision of Data Science across the organization by identifying transformative AI/ML opportunities and championing the team’s evolving role in a rapidly advancing GenAI landscape. - Lead the design and deployment of predictive and generative AI models that power personalization, pricing, search, and optimization in marketplace and fintech domains. - Collaborate with product leaders to align ML initiatives with strategic business goals and drive product innovation through data-driven experimentation and modeling. - Architect scalable ML infrastructure and automated workflows using cloud-native tools (e.g., AWS, EC2, Kubernetes) to support efficient model training, deployment, and analytics across diverse datasets. - Ensure long-term performance and compliance of production AI models though robust governance and monitoring. - Provide technical leadership and mentorship to data scientists, shaping an innovative team culture and fostering high-performance and continuous learning. - Serve as a cross-functional technical leader, shaping company-wide technical initiatives beyond data science. Partner with engineering, product, and platform teams to influence architecture, innovation agendas, and technical standards across the organization. - Act as a senior technical advisor, leading resolution of complex modeling issues and acting as the escalation point for critical incidents. - Lead the exploration and strategic application of GenAI, identifying high-impact use cases and guiding their integration across products and platforms. What You’ll Need: - Advanced academic credentials in a quantitative field such as Computer Science, Engineering, Mathematics, or related discipline - 10+ years of experience in data science, machine learning, or applied AI, with a strong portfolio of high-impact projects in production - Expert-level programming skills in Python and SQL, and fluency with leading ML/AI frameworks (e.g., scikit-learn, TensorFlow, PyTorch) - Direct experience with GenAI/LLM technologies, including tools like Hugging Face, LangChain, OpenAI APIs, vector databases, and fine-tuning methods - Deep knowledge of machine learning algorithms (supervised, unsupervised, deep learning), including model evaluation, explainability, and selection for business-critical use cases - Strong hands-on experience with cloud infrastructure (AWS), containerization (Docker), and orchestration (Jenkins, Airflow) - Proven capability in MLOps, including CI/CD pipelines, model monitoring, versioning, and automated retraining - Experience deploying and serving models through APIs (e.g., Flask, FastAPI) in both real-time and batch-processing environments - Excellent communication and stakeholder management skills, able to translate complex concepts into actionable insights for non-technical audiences - Demonstrated success mentoring teams, guiding technical strategy, and advocating for best practices in experimentation, reproducibility, and ethical AI - Experience working in agile product development environments (Scrum/Kanban); experience influencing product roadmaps is a strong plus Bonus Points - Experience in e-commerce, marketplaces, or high-scale consumer platforms - Familiarity with automotive data and applications in pricing, inventory optimization, or recommendation systems - Contributions to open-source AI/ML projects, publications, or presentations at industry conferences Experience leveraging AI, Generative AI (GenAI) to enhance engineering productivity, automate repetitive tasks, and optimize workflows. Candidates should demonstrate the ability to integrate AI-driven solutions into their daily work - such as code generation, debugging, reviews, documentation, and decision support - to improve efficiency for themselves and their teams. A proactive approach to exploring and implementing AI tools that drive innovation and streamline development processes is highly valued If this opportunity excites you, but you're unsure whether your background checks every box, we value passion, curiosity, and a growth mindset. Reach out and tell us what strengths you would bring to the team. We look forward to hearing from you!

The base salary range for this position is CAD 180K – CAD 200K.

This range reflects the expected compensation at the time of posting. The final offer may vary and can be higher based on relevant skills, experience, location, and market conditions. Based on the role the total rewards package may also include benefits, bonus, and other employee offerings.

What's in it for you:

We understand that there is life at work and life outside of work. Here are a few benefits we all benefit from that support us to be our creative best.

Gym discounts

Employee and Family Assistance program

Virtual wellness events

Conferences & training budget

Regular internal training programs

Financial planning with 3% matching Pension

Competitive salary
Annual bonus structure

For a career where you can drive our business and shape your future, apply now.

Use of Artificial Intelligence in Hiring: We use artificial intelligence (“AI”) in our hiring process, including to screen, assess, or select applicants for this position.

Vacancy Status: This job posting is for an existing vacancy.

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More about this job

Responsibilities

The Principal Data Scientist will lead high-impact AI initiatives and collaborate with cross-functional teams to design and scale AI solutions. They will also provide technical leadership and mentorship to data scientists while shaping the strategic direction of Data Science in the organization.

Requirements

Candidates should have advanced academic credentials in a quantitative field and over 10 years of experience in data science or applied AI. They must possess expert-level programming skills and direct experience with GenAI technologies.

Skills

Data Science
Machine Learning
AI
Python
SQL
GenAI
LLM Technologies
Cloud Infrastructure
MLOps
APIs
Communication
Stakeholder Management
Agile Development
Predictive Modeling
Technical Leadership
Mentorship

Benefits

Gym Discounts
Employee and Family Assistance Program
Virtual Wellness Events
Conferences & Training Budget
Regular Internal Training Programs
Financial Planning with 3% Matching
Pension
Competitive Salary
Annual Bonus Structure

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
AI
Python
SQL
GenAI
LLM
AWS
Docker
Kubernetes
Flask
FastAPI
MLOps
Predictive Modeling
Cloud Infrastructure
Technical Leadership
Agile
Experimentation
Reproducibility
Ethical AI
Open Source
Automotive
E-commerce
Marketplace
Consumer Platforms
Data Governance
Model Monitoring
Versioning
Automated Retraining
Decision Support

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Work requirements

Jobs in Canada