Citizen Data Scientist
A business professional who creates ML models and analytics using no-code or low-code tools, without formal data science training. They bridge the gap between business and technical teams.
Why It Matters
Citizen data scientists multiply an organization's AI capacity by enabling domain experts to build models themselves, reducing the bottleneck on specialized data science teams.
Example
A marketing analyst using Google AutoML to build a customer churn prediction model, leveraging their deep domain knowledge without writing Python code.
Think of it like...
Like a home cook using a bread machine — they do not need baker training to produce good bread, the machine handles the technical complexity.
Related Terms
No-Code AI
AI platforms that allow users to build, train, and deploy machine learning models without writing any code, using visual interfaces and drag-and-drop tools.
Low-Code AI
AI development platforms that require minimal coding, typically providing visual interfaces with optional code customization for more advanced users.
AutoML
Automated Machine Learning — tools and techniques that automate the end-to-end process of applying machine learning, including feature engineering, model selection, and hyperparameter tuning.
AI Literacy
The ability to understand, evaluate, and effectively use AI systems. AI literacy includes knowing what AI can and cannot do, how it works at a conceptual level, and how to critically assess AI outputs.