Data Science — Demand & Depth Analysis

What the data shows for Data Science:

• •Required in 1.4% of all scored postings — demand is growing as more employers add it to requirements
• •Employers typically expect L2 depth — foundational knowledge with practical application
• •Most demand comes from Data Science / ML roles — 57% of all Data Science jobs
• •Median salary for roles requiring Data Science: $211K vs $130K for roles that don't — a $70K difference

What L2 means in practice:

L2 (Basic) means you’ve built small things with Data Science — personal projects or bootcamp work. Employers accept this for junior roles.

This means employers aren't looking for someone who has used Data Science once or twice. They want evidence of professional application — shipped work, measurable outcomes, and the ability to operate independently.

Common skill gaps:

The gap rate of 37.7% means a notable portion of candidates fall short on Data Science. Addressing this gap directly in your application materials gives you an edge.

Which roles need Data Science most:

Data Science / ML positions drive 57% of demand. Data Analysis and Software Engineering also frequently list Data Science as a requirement. Skills commonly paired with Data Science include SQL and Python.