Data Scientist – Generative AI; Marketing Focus

Job Description

Data Scientist –Generative AI

ONLY CANDIDATES WITH A COVER LETTER ATTACHED WILL BE REVIEWED.

Data Scientist – Generative AI (Marketing Focus) – Job Posting

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 and
personalization, and business problem-solving, with a strong emphasis on delivering real,
measurable outcomes.

Responsibilities
- Adhere to the core values of being: TRUSTWORTHY, TEAM PLAYER and HAPPY
TO HELP
- Support the efforts of all coworkers towards meeting our core values
- Look for opportunities to provide exceptional and meaningful experiences with
customers and coworkers
- Comply with Go Auto’s policies and Employee Code of Conduct
- Report to management any situation or condition that jeopardizes the safety, welfare,
liability or integrity of any dealership staff, guests, the dealership itself or the
company
- Be a leader in your own role and assist others in their growth, development, and
sense of community with the team
- Protect the legal and financial welfare of the company
- Maintain the utmost legal, moral, and ethical standards with all customers and
coworkers
- Attendance at 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 (., A/B
testing) to measure impact and drive decisions
- Develop and productionize forecasting and predictive models for several 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 related field
- Strong proficiency in Python and SQL, as well as 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 working with Cloud-based data platforms (Fabric/GCP preferred)
- Excellent communication and interpersonal skills, with an ability to engage effectively
with both technical and non-technical stakeholders
- Strong analytical and problem-solving skills, with a demonstrated ability to oversee
complex projects and a keen attention to detail
- Ability to work independently and collaboratively in a fast-paced environment
- Experience and key interest in project management tools (Click Up, Asana, JIRA)
and documentation tools (Slite, Confluence, Notion)

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.