Go Auto

www.goauto.ca

1 Job

1,164 Employees

About the Company

As one of Canada’s largest automotive groups, Go Auto operates 70 dealerships and 28 new vehicle brands across Canada and the United States. Our extensive network includes auxiliary companies like Go RV, Go Insurance, and Yes Plan Auto Finance, ensuring we cater to all your automotive needs from purchase through finance, insurance, service, and repair. Discover over 15,000 new and used vehicles on GoAuto.ca, your one-stop shop for everything automotive. Our new manufacturers include top brands such as Mercedes-Benz, Sprinter, Mitsubishi, Subaru, Ford, Lincoln, Dodge, Chrysler, Jeep, Ram, Hyundai, Genesis, Kia, Mazda, Nissan, Honda, Fiat, Volkswagen, Infiniti, Toyota, GM, Buick, Chevrolet, Audi, Land Rover, Jaguar, and Porsche. What truly sets Go Auto apart is our commitment to exceptional customer service. Every employee is empowered to find innovative ways to show our guests that we’re happy to help – all the time, every time. Our customer benefits package includes no extra fees, free service loaners, $500 referrals for new vehicle purchases, 7-day-a-week customer service, and 10% savings on all parts and service spending with the free Go Auto App. Go Auto is also dedicated to giving back to the community. Since 2018, we have donated over $24.1 million to charities and community initiatives, with a strong focus on children’s charities to ensure every child has the opportunity to succeed. These are just a few reasons why Go Auto is recognized as an industry leader in customer satisfaction and has been named one of Canada’s Best Managed Companies. Visit GoAuto.ca to learn more.

Listed Jobs

Company Name: Go Auto
Job Title: Data Scientist – Generative AI (Marketing Focus)
Job Description: **Job Title** Data Scientist – Generative AI (Marketing Focus) **Role Summary** Leverage Generative AI to create personalized marketing solutions. Collaborate with Marketing, BI, and engineering teams to translate campaign goals into data‑driven strategies, build, deploy, and continuously improve GenAI models, and measure impact through A/B testing, forecasting, and analytics. **Expectations** - Uphold core values of Trustworthiness, Team Player, and Commitment to Customer & Colleague Experience. - Deliver measurable business outcomes and maintain high ethical, legal, and quality standards. - Meet company policies, code of conduct, and contributions to a supportive, inclusive culture. **Key Responsibilities** - Translate marketing campaign objectives into data‑driven personalization strategies. - Design, build, and productionize Generative AI solutions for marketing. - Apply prompt engineering, experimentation, and evaluation frameworks to refine GenAI products. - Conduct exploratory data analysis, model development, and A/B testing to evaluate impact. - Develop and productionize forecasting and predictive models across business use cases. - Collaborate with data platform developers on scalable pipelines and Cloud platforms (Microsoft Fabric, GCP). - Use Python, SQL, and Cloud tools to build, deploy, monitor, and iterate analytical workflows. - Document, communicate insights, models, and results to technical and non‑technical stakeholders. **Required Skills** - Strong proficiency in Python, SQL and notebook development/debugging. - Experience (2‑3 yrs) in product development with Generative AI & Large Language Models. - Familiarity with prompt engineering, model evaluation, and experimentation frameworks. - Knowledge of marketing analytics, personalization, and customer use‑cases. - Hands‑on machine learning application to real‑world business problems. - Experience with Cloud‑based data platforms (Microsoft Fabric / GCP). - Excellent communication, interpersonal and stakeholder engagement skills. - Strong analytical, problem‑solving, and project oversight capabilities. - Ability to work independently in a fast‑paced environment. - Familiarity with project management tools (ClickUp, Asana, JIRA) and documentation tools (Slite, Confluence, Notion). **Required Education & Certifications** - Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field. - Minimum 2‑3 years of relevant experience in Generative AI product development. ---