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Added 5 months ago
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Core Java Developer (contract)
Capgemini
Montreal, Quebec
- Contract
Good communication with experience working with team
Added 5 months ago
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Python Full Stack Developer (contract)
Capgemini
Montreal, Quebec
- Contract
We are seeking an accomplished Full Stack Developer with expertise in GenAl technologies to join the team and drive key initiatives forward.
Added 5 months ago
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Senior Data Engineer
BrainStation
Toronto, Ontario
- $120,000 to $145,000 USD / year
- Full-time
Strong programming skills in SQL, Python, or related languages.
Added 6 months ago
TS
Data Engineer
T-Rex Solutions
Remote, Canada
- $50,000 to $94,000 USD / year
- Full-time
- Remote
Experience with the following: Python, SQL, ETL/ELT development, Test automation for data pipelines, Data quality automation, API integration, Airflow or workflow orchestration, AWS/Azure…
Added 6 months ago
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Machine Learning Engineer
FactualIQ
Remote, Canada
- $160,000 to $190,000 CAD / year
- Full-time
- Remote
Expert-level Python programming with deep knowledge of ML frameworks (PyTorch, TensorFlow, or similar).
Added 3 months ago
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Lead Data Scientist
Sixone
Burnaby, British Columbia
- Full-time
Strong Python and SQL, with a track record of taking models from research prototype to production.
Added 2 months ago
(2027 Bachelor's/Master's graduates) Cyber & Forensic Technology Consulting Analyst/Associate
Charles River Associates
Toronto, ON
Leverage your programming, model building, and database administration skills (including using Python, T-SQL, VBA, Excel, C#, and/or other programming languages and tools);
Added 3 months ago
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Systems Performance Analyst II
Recurrent Energy
Guelph, Ontario
- Full-time
Strong computer skills and In-depth familiarity with Python/Pandas
Added 3 months ago
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QA Automation Engineer
OTT Financial Group
Toronto, Ontario
- Full-time
…frameworks, validating product functionality, and working closely with developers, product owners, and QA team members throughout the software development…
Added 1 month ago
VS
Senior Reliability/Test Engineer
VIAVI Solutions
Ottawa, ON
- Full-time
VIAVI, Ottawa Canada, Fiber Optic Lab & Production Test (FOPLT) Business Unit, has a need for a Senior Test Engineer with the experience and drive to make a difference. This position will…
Added 1 month ago
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Full Stack Engineer
Dexian
Toronto, ON
- Contract
Looking for a Full-Stack Developer who can work across frontend, backend, and database layers, with strong JavaScript/HTML/CSS, VBA/Python, and SQL experience. Agile methodology and…
Added 1 month ago
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Intern - Credit Risk, Winter 2027
EQ Bank
Toronto, ON
- Internship
3M to 1 yr of exposure to Microsoft SharePoint and Microsoft PowerShell, Microsoft Power Automate, Python, and/or SQL.
Added 1 month ago
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Full Stack Developer, AI
Royal Bank of Canada
Toronto, ON
- Full-time
5+ years of software development experience with languages such as Java, Python and JavaScript, with a strong foundation in SQL and a willingness to contribute across a diverse tech stack…
Added 2 months ago
Senior Financial Analyst
Rogers Communications
Toronto, ON
…where we live and work. We have a variety of business units with exciting and meaningful work waiting for you, including Communications, HR, Legal and Corporate Affairs, Supply Chain,…
Added 1 month ago
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Analyste BI senior
AtkinsRéalis
Montreal, QC
- Full-time
…clear, useful insights. As a Senior BI Analyst, you will work with project teams, business stakeholders and technology specialists to develop and improve business intelligence solutions for…
Added 1 month 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
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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
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MuleSoft Senior Developer- Enterprise
Slalom
Toronto, Ontario · Greater Toronto Area, Canada
- Full-time
Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams…
Added 6 months ago
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Optimum Adobe Engineer (contract)
Capgemini
Toronto, Ontario
- Contract
The Analytics Lead / Adobe V8 Migration Specialist is an experienced professional with deep expertise in Adobe Campaign Classic, V7-to-V8 migrations, and data-driven campaign execution. The…
Added 6 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
…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,…
Added 1 month ago
Senior - Decision Modelling (Toronto)
EY
Toronto, ON
Exposure to coding languages such as VBA, Python or SQL (considered an asset but is not required)

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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