Skill Demand Index
Predictive Models — Demand & Depth Analysis
Based on 3 scored job postings out of 4,003 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0.1%
Demand Rate
L2
Median Depth
33.3%
Gap Rate
3
Jobs Analyzed
Minimal
Most employers want Predictive Models at introductory awareness.
Overview
What is Predictive Models?
Market context for Predictive Models in the current job market
Predictive Models is required in 0.1% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Predictive Models typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Predictive Models:
- •Required in 0.1% 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 — 67% of all Predictive Models jobs
What L2 means in practice:
L2 (Basic) means you’ve built small things with Predictive Models — personal projects or bootcamp work. Employers accept this for junior roles.
This means employers aren't looking for someone who has used Predictive Models 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 33.3% means a notable portion of candidates fall short on Predictive Models. Addressing this gap directly in your application materials gives you an edge.
Which roles need Predictive Models most:
Data Science / ML positions drive 67% of demand. Data Analysis also frequently list Predictive Models as a requirement. Skills commonly paired with Predictive Models include Bachelor's Degree and Data Science Application.
Depth Level Distribution
Proficiency Distribution
How candidates match Predictive Models requirements across 3 scored evaluations
Average depth: L2.0·Median depth: L2.0
Salary Correlation
Pay Impact
How Predictive Models affects compensation based on postings with disclosed salary data
Without Predictive Models
$139K
Median $131K
1075 jobs
Skill Demand Insight
“Predictive Models appears in 0.1% of all scored jobs.”
From 3 scored job postings
Skill Pairings
Commonly Paired Skills
Other skills that frequently appear alongside Predictive Models
Role Breakdown
Top Role Categories
Job categories most likely to require Predictive Models
Gap Analysis
Gap Rate Explained
How often Predictive Models is identified as a skill gap (L0–L1) in scored applications
Moderate gap rate — many candidates lack this skill
When Predictive Models appears in a job's requirements, 33.3% of scored applicants received an L0 or L1 (missing or minimal).
Frequently Asked Questions
Is Predictive Models in demand in 2026?
Yes. Predictive Models appears in 0.1% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 3 analyzed jobs, demand is steady across multiple role types.
What level of Predictive Models do most jobs require?
The median required depth is L2. Many positions accept basic to intermediate proficiency.
Does knowing Predictive Models increase salary?
Salary data for Predictive Models is still accumulating.
What other skills pair with Predictive Models?
The most common pairings are Bachelor's Degree, Data Science Application, Analytical SQL, Python for Data Science, Attribution Modeling. Strengthening these alongside Predictive Models improves your fit across more positions.
What roles need Predictive Models the most?
Top roles: Data Science / ML, Data Analysis. Data Science / ML positions have the highest demand at 67% of all Predictive Models jobs.
How do I improve my Predictive Models 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 Predictive Models job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Predictive Models gaps →See how your depth compares to what employers actually require
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