Data Science Analyst

Role overview

What you'll do

• Apply predictive analytics and statistical modeling to customer engagement, personalization, and loyalty problems.
• Support data preparation, feature engineering, model development, segmentation, and targeting.
• Build AI-powered workflows using Generative AI, LLMs, and Agentic AI tools, including ChatGPT, Google Gemini, Qdrant, and Langfuse.
• Develop cloud data science solutions on GCP, including BigQuery and Vertex AI.
• Measure campaigns and experiments using A/B testing, statistical analysis, and performance evaluation.
• Collaborate across teams, communicate insights, and create reusable analytical tools and automated workflows.

What you'll bring

• At least one year of data science, machine learning, or advanced analytics experience, including relevant internship, co-op, research, or project experience.
• Bachelor’s or Master’s degree in a listed or related quantitative field.
• Strong Python and SQL skills and hands-on experience with data analysis, statistical modeling, machine learning, and workflow automation.
• Knowledge of classification, regression, clustering, feature engineering, model evaluation, and A/B testing.
• Familiarity with GCP, especially BigQuery or Vertex AI, and practical experience or demonstrated interest in Generative AI and LLM technologies.
• Strong analytical, problem-solving, communication, and collaboration skills.

Assets

• Exposure to RAG, Qdrant, and Langfuse is an asset.
• Customer analytics, loyalty, personalization, marketing measurement, and Looker, Tableau, or Power BI experience are assets.