What is a Full Stack Data Scientist? - Shopify

This post defines and elaborates on the concept of 'full stack data science' at Shopify. It emphasizes data scientists owning projects end-to-end, covering discovery, analysis, acquisition, and data modeling. It highlights the necessary skills including business acumen, communication, programming (Python, SQL), data analysis, data engineering (building and deploying model pipelines), and machine learning. The post also discusses the benefits of this approach, such as choosing problem-solving methods and gaining broad tech stack exposure, and encourages T-shaped development. It provides tips for aspiring full stack data scientists, focusing on asking questions, gathering context, and honing technical skills.