Skill Demand Index
Based on 6 scored job postings out of 2,412 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0.2%
Demand Rate
L2
Median Depth
16.7%
Gap Rate
6
Jobs Analyzed
Basic
Most employers want Predictive Modeling at basic competency with practical application.
Overview
Market context for Predictive Modeling in the current job market
Predictive Modeling is required in 0.2% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Predictive Modeling typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Predictive Modeling:
What L2 means in practice:
L2 (Basic) means you’ve built small things with Predictive Modeling — personal projects or bootcamp work. Employers accept this for junior roles.
This means employers aren't looking for someone who has used Predictive Modeling 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 16.7% means most candidates have adequate Predictive Modeling proficiency. To stand out, aim for L4-L5 depth with concrete evidence.
Which roles need Predictive Modeling most:
Data Analysis positions drive 33% of demand. Marketing and Other also frequently list Predictive Modeling as a requirement. Skills commonly paired with Predictive Modeling include SQL.
Depth Level Distribution
How candidates match Predictive Modeling requirements across 6 scored evaluations
Average depth: L2.2·Median depth: L2.0
Salary Correlation
How Predictive Modeling affects compensation based on postings with disclosed salary data
Without Predictive Modeling
$137K
Median $130K
449 jobs
Skill Demand Insight
“Predictive Modeling appears in 0.2% of all scored jobs.”
From 6 scored job postings
Skill Pairings
Other skills that frequently appear alongside Predictive Modeling
Role Breakdown
Job categories most likely to require Predictive Modeling
Gap Analysis
How often Predictive Modeling is identified as a skill gap (L0–L1) in scored applications
Low gap rate — most candidates are reasonably qualified
When Predictive Modeling appears in a job's requirements, 16.7% of scored applicants received an L0 or L1 (missing or minimal).
Yes. Predictive Modeling appears in 0.2% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 6 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 Predictive Modeling is still accumulating.
The most common pairings are SQL, Marketing Experience, Causal Inference, Python or R, Data Analysis. Strengthening these alongside Predictive Modeling improves your fit across more positions.
Top roles: Data Analysis, Marketing, Other, Data Science / ML. Data Analysis positions have the highest demand at 33% of all Predictive Modeling 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 Predictive Modeling job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Predictive Modeling gaps →See how your depth compares to what employers actually require
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