Principal Data Scientist
Greater Toronto Area
Autotrader.ca
TRADER Corporation's parent company AutoScout24 is the largest pan-European online car market with over 2 million listings and more than 43,000 dealer customers. With AutoScout24, users can find, finance, buy, subscribe for and sell used and new cars. The marketplace provides inspiration on cars and other vehicles and makes hard decisions easy.
Since 1998 AutoScout24 has been offering private users, car dealers and other cooperation partners from the automotive, financial and insurance services sector a comprehensive digital platform for car trading. The online marketplace includes used and new cars, motorcycles as well as commercial vehicles. AutoScout24 has over 30 million users per month, more than 43,000 dealers and around 500 employees. In addition to Germany, AutoScout24 is also represented in the European core markets of Belgium, Luxembourg, the Netherlands, Italy, France and Austria.
More information on www.autoscout24.de
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
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
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! 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. Fitness and wellness-We provide discounts to nation-wide gyms, onsite gyms (when we’re in the office), an Employee and Family Assistance Program, as well as a virtual wellness program. Benefits from Day 1-Gym discounts-Local in-office free gyms-Employee and Family Assistance program-Weekly virtual wellness events-Conferences & training budget-Regular internal training programs Financial planning-Let us help you invest in your future with 3% matching towards your pension and multiple forms of income protection. Competitive salary-Annual bonus structure-3% CPP matching
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow APIs Architecture AWS CI/CD Computer Science Deep Learning Docker EC2 E-commerce Engineering FastAPI Finance FinTech Flask Generative AI Jenkins Kanban Kubernetes LangChain LLMs Machine Learning Mathematics ML infrastructure MLOps Model training .NET OpenAI Open Source Pipelines Python PyTorch Scikit-learn Scrum SQL TensorFlow
Perks/benefits: Career development Competitive pay Conferences Fitness / gym Salary bonus Startup environment Team events Wellness
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