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Added 6 months ago
Manager, Customer Operations
Forma.ai
Toronto, Ontario
If you’re passionate about data analytics and want to contribute to sales operations, we’d love to hear from you!
Added 2 months ago
Staff Back End Engineer (Applications)
Forma.ai
Toronto, ON
We build enterprise software that helps organizations optimize sales performance, enabling go-to-market agility. Our engineering organization includes multiple product application teams…
Added 2 months ago
Senior Staff Backline Engineer - Data & AI
Databricks
Vancouver, BC
Data Engineering Track: Expertise in large-scale big data solutions and ETL pipelines using Spark, Delta Lake, or Hive. Strong experience troubleshooting failures, diagnosing performance…
Added 1 month ago
Principal Digital (mixed-signal) Architect
Lightmatter
Toronto, ON
Lightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine,…
Added 4 months ago
EA
Sr. Software Engineer (ML Researcher)
EarthDaily Analytics
Vancouver, British Columbia
- $145,000 to $170,000 CAD / year
- Full-time
…that combine satellite imagery of the Earth, modern software engineering, machine learning, and cloud computing to solve the toughest challenges in agriculture, energy and mining, insurance…
Added 4 months ago
B
AI Scientist & Engineer, Assurance Innovation Lab
BDO
Calgary, Alberta · Edmonton, Alberta · Halifax, Nova Scotia
- Full-time
…AI Scientist & Engineer to bridge the gap between advanced data science, experimental machine learning, and scalable enterprise software engineering in our new Assurance Innovation…
Added 5 months ago
Architect, Software Engineering
Credera Experienced Hiring Job Board
Quinte West, Ontario
As an Architect in our Software Engineering Capability, you act as the primary architect and technical lead on client engagements. You scope and estimate work, model solutions against…
Added 6 months ago
T
AI Architect I
TextLayer
Remote, Canada
- $215,000 to $250,000 CAD / year
- Full-time
- Remote
8+ years of software engineering experience, including 3+ years designing and building scalable backend systems in Python
Added 1 month ago
S
Staff Software Engineer, App Runtime
Snowflake
Toronto, ON
- Full-time
…support for stacks beyond Node.js, and stronger access and data-governance…
Added 1 month ago
CD
Software Engineer (Circuit Analysis, EDA frameworks, AI agents)
Cadence Design Systems
Vancouver, BC
- Full-time
Machine Learning Engineering: Basic background in machine learning, background in ML, data pipelines, predictive modeling, and deployment. Practical knowledge of frontier LLMs (e.g.,…
Added 1 month ago
Staff Software Engineer, Web3
Robinhood
Toronto, ON
Improve developer practices and lead the adoption of the latest AI tooling to maximize engineering output
Added 2 months ago
EM
Embedded Software Engineer
Evertz Microsystems Limited
Burlington, ON
- $60,000 to $90,000 CAD / year
- Full-time
Must possess a degree in Electrical/Computer/Mechatronics Engineering or Computer Science
Added 5 months ago
TA
GenAI Data Engineer
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for…
Added 4 months ago
Senior ML Research Scientist
LawZero
Montreal, Quebec
Analyze and interpret experimental data in order to steer future research questions and objectives.
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
Modernize data reporting, partnering with the Data Engineering Team to automate dashboards, and reduce manual work to focus on high-value analysis and insights.
Added 2 months ago
C
Software Engineer Intern
Cresta
Toronto, Ontario
- $30 to $50 CAD / hour
Work on features combining LLMs, data systems, and user-facing applications
Added 5 months ago
B
Solution Specialist II, Infrastructure
BCAA
*Head Office
- Full-time
Design, build, and support redundant systems, disaster recovery policies, and data archiving solutions to protect data assets.
Added 3 months ago
Senior Security Operations Engineer
Brex
Vancouver, British Columbia
Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We…
Added 4 months ago
CC
Electronic Engineering Technologist – Onsite Position
Curtiss-Wright Corporation
Canada-Ottawa
- Full-time
As our Electronic Engineering Technologist, you will be responsible for all aspects of product design verification testing and qualification; you must be resourceful and able to overcome…
Added 2 months ago
Principal Data Scientist (m/f/d)
AutoTrader.ca
Toronto, ON
Serve as a cross-functional technical leader, shaping company-wide technical initiatives beyond data science. Partner with engineering, product, and platform teams to influence…
Added 4 months ago
N
Applied AI Engineer
Nexxa.AI
Remote, Canada
- Full-time
- Remote
Integrate and optimize AI/ML pipelines, including data preprocessing, prompt engineering, model selection, and evaluation.
Added 2 months ago
FG
Lead Software Engineer, Full-Stack Applications - Ratings Technology
Fitch Group
Toronto, ON
- $160,000 to $200,000 CAD / year
Deep full-stack engineering expertise – 10+ years of hands-on experience building enterprise applications, with expert-level proficiency in Java/Springboot, C#/.NET, Python and REACT, and…
Added 4 months ago
TR
Senior Software Engineer - AI (Materia AI)
Thomson Reuters
Remote, Canada
- Full-time
- Remote
Design and build backend services using Python, FastAPI, and PostgreSQL to support real‑time AI interactions and large‑scale data flows.
Added 1 month ago
N
Technical Director Pre-Production - Netflix Animation Studios
Netflix
Vancouver, BC
- Full-time
Relevant education in software engineering and/or film creation process.

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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