Skip to content

Skill Demand Index

Data Science Experience — Demand & Depth Analysis

Based on 29 scored job postings out of 4,995 total. Depth levels reflect actual proficiency tiers, not just keyword presence.

0.6%

Demand Rate

L2

Median Depth

31%

Gap Rate

29

Jobs Analyzed

L131% of postings

Minimal

Most employers want Data Science Experience at introductory awareness.

Overview

What is Data Science Experience?

Market context for Data Science Experience in the current job market

Data Science Experience is required in 0.6% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Data Science Experience typically want candidates who can demonstrate real proficiency, not just surface awareness.

What the data shows for Data Science Experience:

  • •Required in 0.6% 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 — 79% of all Data Science Experience jobs
  • •Median salary for roles requiring Data Science Experience: $221K vs $133K for roles that don't — a $73K difference

What L2 means in practice:

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

This means employers aren't looking for someone who has used Data Science Experience 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 31% means a notable portion of candidates fall short on Data Science Experience. Addressing this gap directly in your application materials gives you an edge.

Which roles need Data Science Experience most:

Data Science / ML positions drive 79% of demand. Other and Data Analysis also frequently list Data Science Experience as a requirement. Skills commonly paired with Data Science Experience include SQL and Python.

Depth Level Distribution

Proficiency Distribution

How candidates match Data Science Experience requirements across 29 scored evaluations

L0 — Missing
0% (0)
L1 — Minimal
31% (9)
DOMINANT
L2 — Basic
31% (9)
L3 — Proficient
31% (9)
L4 — Advanced
0% (0)
L5 — Expert
7% (2)

Average depth: L2.2·Median depth: L2.0

Salary Correlation

Pay Impact

How Data Science Experience affects compensation based on postings with disclosed salary data

With Data Science Experience

$213K

Median $221K

10 jobs

Without Data Science Experience

$140K

Median $133K

1219 jobs

↑ $73K higher

for roles requiring Data Science Experience

Skill Demand Insight

“Data Science Experience appears in 0.6% of all scored jobs.”

From 29 scored job postings

Skill Pairings

Commonly Paired Skills

Other skills that frequently appear alongside Data Science Experience

Role Breakdown

Top Role Categories

Job categories most likely to require Data Science Experience

Gap Analysis

Gap Rate Explained

How often Data Science Experience is identified as a skill gap (L0–L1) in scored applications

31%

Moderate gap rate — many candidates lack this skill

When Data Science Experience appears in a job's requirements, 31% of scored applicants received an L0 or L1 (missing or minimal).

A high gap rate signals strong hiring leverage for candidates who have it. A low gap rate means the skill is table stakes: not having it is a disqualifier.

Frequently Asked Questions

Is Data Science Experience in demand in 2026?

Yes. Data Science Experience appears in 0.6% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 29 analyzed jobs, demand is steady across multiple role types.

What level of Data Science Experience do most jobs require?

The median required depth is L2. Many positions accept basic to intermediate proficiency.

Does knowing Data Science Experience increase salary?

Jobs requiring Data Science Experience pay +$73K more on average. This salary premium makes it a high-value skill to develop.

What other skills pair with Data Science Experience?

The most common pairings are SQL, Python, Predictive Modeling, Python Proficiency, Machine Learning. Strengthening these alongside Data Science Experience improves your fit across more positions.

What roles need Data Science Experience the most?

Top roles: Data Science / ML, Other, Data Analysis, Software Engineering. Data Science / ML positions have the highest demand at 79% of all Data Science Experience jobs.

How do I improve my Data Science Experience level?

L1→L2: online courses and personal projects. L2→L3: daily professional use and shipped work. L3→L4: mentoring others and optimizing processes. L4→L5: architecture decisions, open source contributions, or published work.

See how you stack up against Data Science Experience job requirements

ShouldApply scores your profile against each skill at the depth level jobs actually need.

Analyze my Data Science Experience gaps →

See how your depth compares to what employers actually require

All Skills · Roles · Companies · Browse Jobs