Skill Demand Index
Based on 10 scored job postings out of 2,412 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0.4%
Demand Rate
L1
Median Depth
60%
Gap Rate
10
Jobs Analyzed
Minimal
Most employers want Statistical Modeling at introductory awareness.
Overview
Market context for Statistical Modeling in the current job market
Statistical Modeling is required in 0.4% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Statistical Modeling typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Statistical Modeling:
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 Statistical 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 60% means most applicants lack Statistical Modeling at the depth employers need. This is a real opportunity for candidates who invest in building genuine proficiency.
Which roles need Statistical Modeling most:
Other positions drive 40% of demand. Data Analysis and Data Science / ML also frequently list Statistical Modeling as a requirement. Skills commonly paired with Statistical Modeling include Data Analysis.
Depth Level Distribution
How candidates match Statistical Modeling requirements across 10 scored evaluations
Average depth: L1.6·Median depth: L1.0
Salary Correlation
How Statistical Modeling affects compensation based on postings with disclosed salary data
Without Statistical Modeling
$137K
Median $130K
449 jobs
Skill Demand Insight
“Statistical Modeling appears in 0.4% of all scored jobs.”
From 10 scored job postings
Skill Pairings
Other skills that frequently appear alongside Statistical Modeling
Role Breakdown
Job categories most likely to require Statistical Modeling
Gap Analysis
How often Statistical Modeling is identified as a skill gap (L0–L1) in scored applications
High gap rate — most candidates are underqualified
When Statistical Modeling appears in a job's requirements, 60% of scored applicants received an L0 or L1 (missing or minimal).
Yes. Statistical Modeling appears in 0.4% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 10 analyzed jobs, demand is steady across multiple role types.
The median required depth is L1. Many positions accept basic to intermediate proficiency.
Salary data for Statistical Modeling is still accumulating.
The most common pairings are Data Analysis, SQL, Bachelor's Degree, Reporting, Budget Forecasting. Strengthening these alongside Statistical Modeling improves your fit across more positions.
Top roles: Other, Data Analysis, Data Science / ML, Marketing. Other positions have the highest demand at 40% of all Statistical 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 Statistical Modeling job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Statistical Modeling gaps →See how your depth compares to what employers actually require
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