Data Scientist - Toronto, Ontario

Job summary

We are TRADER a Canadian leader in digital automotive solutions Our flagship brands AutoSync Dealertrack Canada and CMS help Canadians buy sell and finance vehicles with confidence is Canadas largest automotive marketplace with over 25 million monthly visits Through AutoSync we provide software solutions to dealers streamlining their operations marketing and sales Dealertrack Canada is the country s top automotive financing portal processing more than six point five million credit applications each year Collateral Management CMS is a national tech solution that boosts lien and registration services recovery services and insolvency management solutions for Canadian Lenders As part of group Europe s largest online car marketplace we re shaping the future of automotive retail in Canada and beyond Learn more at Join our global Data Science team and contribute to shaping the future of the automotive marketplace through AI machine learning As a Data Scientist you ll work on impactful AI initiatives that influence millions of users worldwide with a focus on implementation innovation In this role you ll collaborate with product engineering business teams to build improve AI solutions that set us apart in the industry You ll apply your technical expertise analytical mindset develop ML products solve real world problems deliver business value Our ideal candidate is motivated data scientist who thrives dynamic fast paced environment combines stability industry leader agility startup culture You are curious proactive committed continuous learning emerging areas like Generative AI Large Language Models LLMs What You ll Do Design implement predictive generative AI models power personalization pricing search optimization marketplace fintech domains Work product business teams translate strategic goals data driven solutions owning end end model development specific product features Extract actionable insights large complex datasets presenting findings clearly technical non technical audiences Support scalable ML infrastructure cloud native tools AWS EC2 facilitate efficient model training deployment Take ownership model performance metrics conducting regular evaluations communicating results stakeholders Lead technical discussions areas ownership during team reviews advocating best practices code quality model design Participate code reviews technical discussions improve team best practices model quality Propose creative approaches solve complex business problems balancing technical innovation practical implementation Contribute exploration GenAI applications identify use cases supporting integration What You Need Advanced academic credentials quantitative field Computer Science Engineering Mathematics related discipline Three five years experience data science machine learning applied AI deploying models production Strong programming skills Python SQL familiarity ML frameworks scikit learn TensorFlow PyTorch Experience machine learning algorithms supervised unsupervised deep learning including evaluation selection Hands on experience cloud infrastructure containerization orchestration Jenkins Airflow Understanding MLOps concepts monitoring versioning Experience API Flask FastAPI both real time batch processing environments Good communication skills explain technical concepts different audiences Experience agile development environments Scrum Kanban Bonus Points Experience e commerce marketplaces high scale consumer platforms Familiarity automotive data applications pricing inventory optimization recommendation systems Contributions open source projects publications presentations industry conferences
Experience leveraging AI GenAI enhance engineering productivity automate repetitive tasks optimize workflows Candidates demonstrate ability integrate AIdriven solutions daily work such as code generation debugging reviews documentation decision support improve efficiency themselves teams Proactive approach exploring implementing AITools drive innovation streamline development processes highly valued If opportunity excites unsure background checks every box we value passion curiosity growth mindset Reach out tell what strengths bring team We look forward hearing from you The salary range for this position for CAD K – CAD K This range reflects expected compensation time posting final offer may vary based relevant skills experience location market conditions Based role total rewards package may also include benefits bonus employee offerings Benefits From Day Gym discounts Employee Family Assistance program Weekly virtual wellness events Conferences & training budget Regular internal training programs Competitive salary Annual bonus structure CPP matching For career where can drive our business shape future apply now Use Artificial Intelligence Hiring We use artificial intelligence quot Ai quot hiring process screen assess select applicants position Vacancy Status This job posting existing vacancy

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