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Job Description Data Scientist – Generative AI (Marketing Focus)

ONLY CANDIDATES WITH A COVER LETTER ATTACHED WILL BE REVIEWED.

Reports to:

Manager, Data Science & Engineering

Location:

Go Auto - Edmonton, AB, Canada

General Summary As a Data Scientist, you are a key member of the Business Intelligence Department, playing a critical role in driving actionable insights, aiding in strategic decision-making, and contributing to the overall growth of the company. You will collaborate with data scientists, data architects, business intelligence analysts, and software developers to build production-grade data products. You will work closely with the Marketing Team to design, build, and productionize GenAI-driven solutions. You will also contribute to broader data analysis and data science initiatives across different business domains. This role blends hands‑on data science, applied GenAI, marketing‑focused analytics, personalization, and business problem‑solving, with a strong emphasis on delivering real, measurable outcomes.

Responsibilities

Adhere to core values: TRUSTWORTHY, TEAM PLAYER, and HAPPY.

Support coworkers in meeting core values and provide exceptional experiences with customers and colleagues.

Comply with Go Auto’s policies and Employee Code of Conduct.

Report situations jeopardizing safety, welfare, liability, or integrity of dealership staff, guests, the dealership, or the company.

Lead in your role and assist others in their growth, development, and sense of community.

Protect the legal and financial welfare of the company.

Maintain utmost legal, moral, and ethical standards with customers and coworkers.

Attend Go University or additional training as requested by management.

Primary Duties

Work closely with Marketing to translate campaign objectives into data‑driven personalization strategies.

Design, build, and maintain Marketing‑focused Generative AI solutions.

Apply prompt engineering, experimentation, and evaluation frameworks to continuously improve GenAI products.





Perform exploratory data analysis (EDA), modelling, and experimentation (e.g., A/B testing) to measure impact and drive decisions.

Develop and productionize forecasting and predictive models for multiple use cases across the business.

Collaborate with data platform developers to leverage scalable data pipelines and cloud platforms (Microsoft Fabric and GCP).

Use Python, SQL, and cloud‑based tools to build, deploy, monitor, and iterate analytical workflows, while ensuring performance, reliability, and business value.

Clearly document and communicate insights, models, and results to both technical and non‑technical stakeholders.

Qualifications

Bachelor’s or Master’s degree in Data Science, Computer Science, or a related field.

Strong proficiency in Python and SQL, notebook development, and debugging.

2–3 years of experience in product development with Generative AI, Large Language Models (LLMs), and retrieval‑augmented generation (RAG) pipelines.

Familiarity with prompt engineering, model evaluation, and experimentation frameworks.

Exposure to marketing analytics, personalization, and customer‑focused use cases.

Hands‑on experience applying machine learning and data science methodologies to real‑world business problems.

Experience with cloud‑based data platforms (Fabric/GCP preferred).

Excellent communication and interpersonal skills, engaging effectively with both technical and non‑technical stakeholders.

Strong analytical and problem‑solving skills, with a demonstrated ability to oversee complex projects and pay keen attention to detail.

Ability to work independently and collaboratively in a fast‑paced setting.

Experience and interest in project management tools (ClickUp, Asana, JIRA) and documentation tools (Slite, Confluence, Notion).

Additional Information This job description outlines the general nature of the role and is not intended to be an exhaustive list of responsibilities. The Data Scientist is expected to adapt to evolving business needs and contribute where their skills can create the most value.

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Apply on Kit Job: kitjob.ca/job/2g8myn

📌 Data Scientist - Generative AI (Marketing Focus) (Edmonton)
🏢 Go Auto
📍 Edmonton