Maturity Levels for Data Science Capability

Maturity Levels for Data Science Capabilities

Data science is a tricky profession as it requires overlapping skills varying between data engineering, analytics, AI/ML, research, development and DevOps. This makes creating new data science teams is challenging for leaders to find experienced scientists who cover the whole spectrum (we call them unicorns or superheroes). The other challenge is to build the right process with the right set of skills that can…