A data scientist applies mathematics, statistics, programming, and machine learning to turn substantial data collections into models that address user needs. The role depends on strong mathematical grounding and practical intuition about data distributions. section 12.1.2
In an AI product team, the role typically involves:
- Collecting large amounts of data for model development. section 12.1.2
- Using data to train machine learning models that fulfill user needs. section 12.1.2
- Working alongside machine learning engineers, AI engineers, data engineers, and MLOps engineers, whose responsibilities cover modeling, integration, data systems, and lifecycle automation. section 12.1.2
A lean AI team
A lean team may rely on one data scientist for AI expertise. That person gathers data and trains models, while other specialists handle model systems, user-facing integration, data processing, or machine learning operations when those roles exist. section 12.1.2
