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Added 3 months ago
S
Senior Manager, Data Science
SOTI
Mississauga, Ontario
- Full-time
Strong hands-on programming skills in Python, SQL, and related tools, with experience building and deploying models, data pipelines, and analytical systems in cloud environments (e.g., AWS,…
Added 5 months ago
Architect
Benevity
Toronto, Ontario
Proficiency in programming and analytics using Python, SQL, and Jupyter Notebooks
Added 5 months ago
Architect
Benevity
Calgary, Alberta
Proficiency in programming and analytics using Python, SQL, and Jupyter Notebooks
Added 2 months ago
JS
BI Data Engineer
Jonas Software
Markham, ON · Canada - Markham - Ontario
- Full-time
Application layer built with OAuth, Node.JS, Express.JS, MongoDB, SQL and .NET
Added 2 months ago
JC
BI Data Engineer
Jonas Club Software
Markham, ON · Canada - Markham - Ontario
- Full-time
Application layer built with OAuth, Node.JS, Express.JS, MongoDB, SQL and .NET
Added 3 months ago
Ingénieur(e) en soutien de production | Programme diplômés Cloud, DevOps et SRE / Production Support Engineer | Cloud, DevOps & SRE Graduate Programme
mthree
Montreal, Quebec
Une expérience avec des langages de programmation ou de scripts tels que Python, Bash, JavaScript ou des technologies similaires.
Added 6 months ago
Manager, Customer Operations
Forma.ai
Toronto, Ontario
The Customer Operations team works closely with new and existing customers by implementing product features, managing the operational parts of the platform, and optimizing our client’s…
Added 2 months ago
Staff Back End Engineer (Applications)
Forma.ai
Toronto, ON
As a Staff Engineer, you are expected to operate with a high degree of ownership and trust. This includes proactively identifying architectural risks, surfacing edge cases or constraints…
Added 2 months ago
Senior Staff Backline Engineer - Data & AI
Databricks
Vancouver, BC
…reliable, efficient workflows. Solid hands-on programming skills in Python, SQL, or…
Added 3 months ago
B
AI Scientist & Engineer, Assurance Innovation Lab
BDO
Calgary, Alberta · Edmonton, Alberta · Halifax, Nova Scotia
- Full-time
Data & Vector Infrastructure: Hands-on experience with Pinecone, Milvus, Weaviate, and standard SQL/NoSQL databases
Added 4 months ago
Analyste de Support à la Production / Production Support Analyst
mthree
Montreal, Quebec
Compétences en scripting : Perl, Python ou shell Unix
Added 5 months ago
TA
GenAI Data Engineer
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
Tune complex SQL queries and Python-based processing jobs to handle petabyte-scale environments efficiently.
Added 4 months ago
Python Developer
Levio
Montreal, Quebec
Levio is currently seeking a Python Developer to contribute to a large‑scale project based in Montreal in a hybrid work model.
Added 4 months ago
M
Sr. Manager, Retention Analytics
McAfee
Waterloo, Ontario
- Full-time
Data & coding fluency: A self-starter who isn’t afraid to get hands dirty - comfortable using SQL, Python, and generative AI tools as needed to access data and deliver analysis, even if not…
Added 5 months ago
I
Senior Marketing Analyst
Improvado
Remote, Canada
- Full-time
- Remote
…also involves managing data transformations in dbt and working with complex, multi-source data architectures. You'll leverage AI tools (e.g. Codex, Claude) to accelerate your…
Added 2 months ago
Principal Data Scientist (m/f/d)
AutoTrader.ca
Toronto, ON
Expert-level programming skills in Python and SQL, and fluency with leading ML/AI frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
Added 1 month ago
PC
Salesforce Technical Manager
Pwc Canada
Vancouver, BC · Toronto, ON
- Full-time
Experience with: AI/ML model integration • Python or Java • SQL/database design • AWS/Azure cloud platforms • Omnistudio (FlexCards, DataRaptors) • Industries CPQ • Mulesoft APIs • Platform…
Added 2 months ago
PC
Financial Crimes Technology Manager
Pwc Canada
Toronto, ON
- Full-time
Strong SQL T-SQL, Oracle PL/SQL, Python, R, and database technologies
Added 3 months ago
P
Salesforce Technical Manager
PwC
Vancouver, British Columbia · Toronto, Ontario
- Full-time
Experience with: AI/ML model integration • Python or Java • SQL/database design • AWS/Azure cloud platforms • Omnistudio (FlexCards, DataRaptors) • Industries CPQ • Mulesoft APIs • Platform…
Added 6 months ago
Data Scientist
Opendoor
Toronto, Ontario
Strong SQL + Python proficiency; comfortable working with production data pipelines and modern ML tooling (e.g., Spark, Airflow, Ray, SageMaker, Vertex, etc.).
Added 2 months ago
Senior Automation Engineer
ATS Automation
Montreal, Quebec
Knowledgeable in relational databases and programming languages such as Ladder Logic, Functional Block Diagram, Structured Text, Python, C#/C++, MS SQL, etc.,
Added 1 month ago
Transformation Engineer - Software Development, AI & Quality Engineering
Fitch Group
Toronto, ON
Fitch Group is seeking a hands-on Transformation Engineer with strong expertise in software development, AI-enabled engineering, and modern quality practices. This role will focus on…
Added 6 months ago
Implementation Associate
Forma.ai
Toronto, Ontario
The Customer Operations team works closely with new and existing customers by implementing product features, managing the operational parts of the platform, and optimizing our client’s…
Added 2 months ago
Staff Software Engineer - Fullstack
Databricks
Vancouver, BC
10+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go).
Added 2 months ago
Senior Software Engineer - Fullstack
Databricks
Vancouver, BC
5+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go).

AutoTrader.ca

Principal Data Scientist (m/f/d)

Toronto, ON, Canada

The base salary range for this position is CAD 180K – CAD 220K.

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Job details

Pay: The base salary range for this position is CAD 180K – CAD 220K.
Experience: 10+ years of experience in data science, machine learning, or applied AI, with a strong portfolio of high-impact projects in production
Posting language: English
Posted: Aug 17, 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 220K.

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

As a Principal Data Scientist, you will lead AI initiatives and collaborate with cross-functional teams to design and scale AI solutions. You 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. Expertise in programming, machine learning frameworks, and cloud infrastructure is essential, along with strong communication and stakeholder management skills.

Skills

Data Science
Machine Learning
AI
Python
SQL
GenAI
LLM
Cloud Infrastructure
MLOps
APIs
Agile
Technical Leadership
Stakeholder Management
Model Evaluation
Predictive Modeling
Generative AI

Benefits

Gym Discounts
Employee And Family Assistance Program
Virtual Wellness Events
Conferences & Training Budget
Regular Internal Training Programs
Financial Planning
Pension Matching

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
AI
Python
SQL
GenAI
LLM
Cloud Infrastructure
AWS
Docker
Jenkins
Airflow
MLOps
APIs
Flask
FastAPI
Predictive Modeling
Generative AI
Technical Leadership
Stakeholder Management
Model Evaluation
Deep Learning
Supervised Learning
Unsupervised Learning
Agile
Scrum
Kanban
Automated Workflows
Data-Driven Experimentation
Ethical AI

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