Skill Demand Index
Machine Learning/Data Science Experience — Demand & Depth Analysis
Based on 1 scored job postings out of 4,699 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0%
Demand Rate
L1
Median Depth
100%
Gap Rate
1
Jobs Analyzed
Minimal
Most employers want Machine Learning/Data Science Experience at introductory awareness.
Overview
What is Machine Learning/Data Science Experience?
Market context for Machine Learning/Data Science Experience in the current job market
Machine Learning/Data Science Experience is required in 0% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Machine Learning/Data Science Experience typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Machine Learning/Data Science Experience:
- •Required in 0% of all scored postings — demand is growing as more employers add it to requirements
- •Employers typically expect L1 depth — foundational knowledge with practical application
- •Most demand comes from Data Science / ML roles — 100% of all Machine Learning/Data Science Experience jobs
What L1 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 Machine Learning/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 100% means most applicants lack Machine Learning/Data Science Experience at the depth employers need. This is a real opportunity for candidates who invest in building genuine proficiency.
Which roles need Machine Learning/Data Science Experience most:
Data Science / ML positions drive 100% of demand. Skills commonly paired with Machine Learning/Data Science Experience include Bachelor's Degree in Quantitative Field and Python Proficiency.
Depth Level Distribution
Proficiency Distribution
How candidates match Machine Learning/Data Science Experience requirements across 1 scored evaluations
Average depth: L1.0·Median depth: L1.0
Salary Correlation
Pay Impact
How Machine Learning/Data Science Experience affects compensation based on postings with disclosed salary data
Without Machine Learning/Data Science Experience
$139K
Median $131K
1265 jobs
Skill Demand Insight
“Machine Learning/Data Science Experience appears in 0% of all scored jobs.”
From 1 scored job postings
Skill Pairings
Commonly Paired Skills
Other skills that frequently appear alongside Machine Learning/Data Science Experience
Role Breakdown
Top Role Categories
Job categories most likely to require Machine Learning/Data Science Experience
Gap Analysis
Gap Rate Explained
How often Machine Learning/Data Science Experience is identified as a skill gap (L0–L1) in scored applications
High gap rate — most candidates are underqualified
When Machine Learning/Data Science Experience appears in a job's requirements, 100% of scored applicants received an L0 or L1 (missing or minimal).
Frequently Asked Questions
Is Machine Learning/Data Science Experience in demand in 2026?
Yes. Machine Learning/Data Science Experience 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.
What level of Machine Learning/Data Science Experience do most jobs require?
The median required depth is L1. Many positions accept basic to intermediate proficiency.
Does knowing Machine Learning/Data Science Experience increase salary?
Salary data for Machine Learning/Data Science Experience is still accumulating.
What other skills pair with Machine Learning/Data Science Experience?
The most common pairings are Bachelor's Degree in Quantitative Field, Python Proficiency, SQL Proficiency, ML Model Development & Deployment, ML Frameworks. Strengthening these alongside Machine Learning/Data Science Experience improves your fit across more positions.
What roles need Machine Learning/Data Science Experience the most?
Top roles: Data Science / ML. Data Science / ML positions have the highest demand at 100% of all Machine Learning/Data Science Experience jobs.
How do I improve my Machine Learning/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 Machine Learning/Data Science Experience job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Machine Learning/Data Science Experience gaps →See how your depth compares to what employers actually require
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