R or Python familiarity — Demand & Depth Analysis

What the data shows for R or Python familiarity:

• •Required in 0% of all scored postings — demand is growing as more employers add it to requirements
• •Employers typically expect L0 depth — foundational knowledge with practical application
• •Most demand comes from Data Science / ML roles — 100% of all R or Python familiarity jobs

What L0 means in practice:

L1 (Minimal) means you can discuss the concept but haven’t used it in production. Many entry-level positions accept this.

This means employers aren't looking for someone who has used R or Python familiarity 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 100% means most applicants lack R or Python familiarity at the depth employers need. This is a real opportunity for candidates who invest in building genuine proficiency.

Which roles need R or Python familiarity most:

Data Science / ML positions drive 100% of demand. Skills commonly paired with R or Python familiarity include Data-focused roles (5-7 years post-internship) and Experimentation leadership.