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Data Scientist – Generative AI (Marketing Focus)
Data Scientist – Generative AI (Marketing Focus)Go Auto • Edmonton
Data Scientist – Generative AI (Marketing Focus)

Data Scientist – Generative AI (Marketing Focus)

Go Auto • Edmonton
Il y a 21 jours
Type de contrat
  • Temps plein
Description de poste

Job Description

DataScientist –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 (ClickUp, 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.

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