Data Engineer jobs in Canada

TRADER Corporation is a trusted Canadian leader in online media, dealer, and lender services. The company comprises AutoTrader.ca, AutoSync, and Dealertrack Canada. AutoTrader.ca (also known as AutoHebdo.net in Quebec) offers the largest inventory of new and used cars in Canada, with over 25 million monthly visits. AutoSync, with over 3,500 subscribers, is the largest and fastest-growing dealer and OEM software provider in Canada, offering a suite of connected automotive software solutions such as vAuto, EasyDeal, xtime, Motoinsight, Activix, TAdvantage, and TRFFK. Dealertrack is Canada's largest automotive financing portal, processing over 6.5 million credit applications annually. Collateral Management provides industry insight and multi-channel collection strategies to maximize funds recovered, ensuring compliance and minimizing risks. Visit tradercorporation.com to learn more.

TRADER Corporation's parent company, AutoScout24, is the largest pan-European online car marketplace with over 2 million listings and more than 43,000 dealer customers. AutoScout24 facilitates finding, financing, buying, subscribing, and selling used and new cars, including motorcycles and commercial vehicles, across several European markets, including Germany, Belgium, Luxembourg, the Netherlands, Italy, France, and Austria. It has over 30 million users per month, more than 43,000 dealers, and around 500 employees. More information can be found at www.autoscout24.de.

We are seeking a talented Data Scientist to support exciting AI products at Trader. The ideal candidate will analyze large datasets to identify opportunities for improving product performance and increasing customer value. Strong communication skills across all organizational levels are essential, along with a proven ability to drive business results and convey findings effectively. A passion for growing in data science is highly valued.

What you’ll do:

• Use predictive modeling to enhance customer experiences across Trader products and services.
• Collaborate with the Product team to prototype new ideas and models leveraging extensive data points.
• Utilize cloud resources to automate and productionalize data science processes.
• Develop processes to improve data quality and usability.
• Monitor existing Machine Learning models for performance and accuracy.
• Manage large-scale data processing systems for structured and unstructured data.
• Work with Support Teams to troubleshoot customer-reported issues.

What you’ll need:

• Experience with Azure or other cloud environments.
• 4-8+ years of related work experience.
• A scientific, curious, and creative approach to data analysis.
• Strong interpersonal and teamwork skills.
• University degree in a STEM field.
• Expertise in Python and SQL.
• Experience training and maintaining ML models.
• Proficiency with analytical tools and data manipulation.
• Ability to work with both structured and unstructured data from various sources.
• Initiative and independence in cross-functional teams.

Bonus Points…

• Experience in the fintech industry.
• Ownership of end-to-end data science projects.

What’s in it for you…

• Benefits supporting work-life balance, including gym discounts, wellness programs, and an annual lifestyle allowance of $1500.
• Benefits from Day 1, including fitness, wellness, and training opportunities.
• Financial planning support with pension matching and income protection.
• Competitive salary with annual bonus and CPP matching.