Assembling your data science team – key roles and considerations
Building a successful data science team requires a carefully curated mix of roles and skills. There are many roles that have evolved since companies started to introduce data science, machine learning, and artificial intelligence into their business processes and products.
There are now many different, sometimes overlapping roles, not all of which are essential to every team.
Here’s a breakdown of the roles to consider when assembling your team, along with insights from leading tech companies.
Data scientists
Data scientists are at the core of many data science teams, focusing on framing business problems as machine learning tasks, developing predictive models, and extracting valuable insights from data.
Responsibilities
- Frame business problems as machine learning tasks
- Develop predictive models
- Extract valuable insights from data
Skills and knowledge
- Strong...