Data science is a broad field that encompasses several different specializations: statistics, machine learning, data engineering, and software application development.
It is nearly impossible to find a single person to fill all of these roles, yet hiring a team is very expensive. All too often, companies must decide between two unsatisfying choices:
The "Good Enough" option: Hire a person who may do one thing well but struggle to deliver on others.
The "Prohibitively Expensive" option: Hire a team of skilled researchers and programmers and pay them the high salaries their specializations demand.
