SECAI Core · phase 3 of 15
Data scientist
A role that explores data to define a problem, select relevant features, and develop baseline models that demonstrate value
The Explain card
- Plain English
- A data scientist explores data to frame the problem, chooses the features that matter, and builds baseline models that prove the idea is worth pursuing.
- Example
- Given months of authentication logs, a data scientist finds that login timing and device changes predict account takeover and builds a first model to show it works.
- Why it matters
- Data scientists shape what the model learns and often work in notebooks with broad access to sensitive data. Their experiments can leak data or bake in bias long before production.
- Hook
- The explorer who decides which signals the model will trust.
Where it sits in the deck
Phase 3: Data Fundamentals: Types, Pipelines, and Preparation
Models are only as good as their data — understand the raw material and the engineering that shapes it before covering how it flows or breaks.
