Skill Demand Index
Based on 1 scored job postings out of 2,449 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0%
Demand Rate
L2
Median Depth
0%
Gap Rate
1
Jobs Analyzed
Basic
Most employers want Experience with AI/ML and Data at basic competency with practical application.
Overview
Market context for Experience with AI/ML and Data in the current job market
Experience with AI/ML and Data is required in 0% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Experience with AI/ML and Data typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Experience with AI/ML and Data:
What L2 means in practice:
L2 (Basic) means you’ve built small things with Experience with AI/ML and Data — personal projects or bootcamp work. Employers accept this for junior roles.
This means employers aren't looking for someone who has used Experience with AI/ML and Data 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 0% means most candidates have adequate Experience with AI/ML and Data proficiency. To stand out, aim for L4-L5 depth with concrete evidence.
Which roles need Experience with AI/ML and Data most:
Other positions drive 100% of demand. Skills commonly paired with Experience with AI/ML and Data include Customer Partner Facing Role and Bachelor's Degree.
Depth Level Distribution
How candidates match Experience with AI/ML and Data requirements across 1 scored evaluations
Average depth: L2.0·Median depth: L2.0
Salary Correlation
How Experience with AI/ML and Data affects compensation based on postings with disclosed salary data
Without Experience with AI/ML and Data
$137K
Median $130K
453 jobs
Skill Demand Insight
“Experience with AI/ML and Data appears in 0% of all scored jobs.”
From 1 scored job postings
Skill Pairings
Other skills that frequently appear alongside Experience with AI/ML and Data
100%
co-occurrence
100%
co-occurrence
100%
co-occurrence
100%
co-occurrence
100%
co-occurrence
100%
co-occurrence
100%
co-occurrence
Role Breakdown
Job categories most likely to require Experience with AI/ML and Data
Gap Analysis
How often Experience with AI/ML and Data is identified as a skill gap (L0–L1) in scored applications
Very low gap rate — candidates generally have this skill
When Experience with AI/ML and Data appears in a job's requirements, 0% of scored applicants received an L0 or L1 (missing or minimal).
Yes. Experience with AI/ML and Data appears in 0% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 1 analyzed jobs, demand is steady across multiple role types.
The median required depth is L2. Many positions accept basic to intermediate proficiency.
Salary data for Experience with AI/ML and Data is still accumulating.
The most common pairings are Customer Partner Facing Role, Bachelor's Degree, Technical Solution Architect in Cloud, Enterprise Applications Architect, Cloud Computing. Strengthening these alongside Experience with AI/ML and Data improves your fit across more positions.
Top roles: Other. Other positions have the highest demand at 100% of all Experience with AI/ML and Data jobs.
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 Experience with AI/ML and Data job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Experience with AI/ML and Data gaps →See how your depth compares to what employers actually require
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