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AECOM —Mississauga, ON
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Principal Data Scientist (m/f/d)

autoTRADER.ca -
Toronto, ON

Postuler dès maintenant

Détails du poste

De 180 000 $ à 220 000 $ par an

Profil recherché

Scikit-learn
TensorFlow
Architecture infonuagique
Droit
Informatique
Implémentation de la livraison continue (CD)
Orchestration de conteneurs
PyTorch
Kanban
Leadership stratégique
Amélioration des processus
E-commerce
SQL
Expérience en ingénierie du cloud
AWS
Docker
Capacités de présentation
Coordination des parties prenantes
Développement de produit
Apache Airflow
Apprentissage profond
Mentorat
Scrum
Analyse et modélisation quantitatives
APIs
Science des données
Flask
Intelligence artificielle
Collaboration interfonctionnelle
Évaluation de modèle
Compétences en communication
Établissement de relations avec les parties prenantes
Débogage
Communication interfonctionnelle
Analytique
Gestion des parties prenantes

Description complète du poste

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.

Postuler dès maintenant

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Je souhaite recevoir la dernière alerte emploi pour les postes de ce type : lead applied scientist (mississauga on)

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