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Skill Demand Index

Statistical analysis & ML — Demand & Depth Analysis

Based on 3 scored job postings out of 4,995 total. Depth levels reflect actual proficiency tiers, not just keyword presence.

0.1%

Demand Rate

L2

Median Depth

0%

Gap Rate

3

Jobs Analyzed

L2100% of postings

Basic

Most employers want Statistical analysis & ML at basic competency with practical application.

Overview

What is Statistical analysis & ML?

Market context for Statistical analysis & ML in the current job market

Statistical analysis & ML is required in 0.1% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Statistical analysis & ML typically want candidates who can demonstrate real proficiency, not just surface awareness.

What the data shows for Statistical analysis & ML:

  • •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 Statistical analysis & ML jobs

What L2 means in practice:

L2 (Basic) means you’ve built small things with Statistical analysis & ML — personal projects or bootcamp work. Employers accept this for junior roles.

This means employers aren't looking for someone who has used Statistical analysis & ML 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 Statistical analysis & ML proficiency. To stand out, aim for L4-L5 depth with concrete evidence.

Which roles need Statistical analysis & ML most:

Data Science / ML positions drive 67% of demand. Data Analysis also frequently list Statistical analysis & ML as a requirement. Skills commonly paired with Statistical analysis & ML include E-commerce Ecosystem Understanding and Data Science Experience.

Depth Level Distribution

Proficiency Distribution

How candidates match Statistical analysis & ML requirements across 3 scored evaluations

L0 — Missing
0% (0)
L1 — Minimal
0% (0)
L2 — Basic
100% (3)
DOMINANT
L3 — Proficient
0% (0)
L4 — Advanced
0% (0)
L5 — Expert
0% (0)

Average depth: L2.0·Median depth: L2.0

Salary Correlation

Pay Impact

How Statistical analysis & ML affects compensation based on postings with disclosed salary data

Without Statistical analysis & ML

$140K

Median $133K

1235 jobs

Skill Demand Insight

“Statistical analysis & ML appears in 0.1% of all scored jobs.”

From 3 scored job postings

Skill Pairings

Commonly Paired Skills

Other skills that frequently appear alongside Statistical analysis & ML

Role Breakdown

Top Role Categories

Job categories most likely to require Statistical analysis & ML

Gap Analysis

Gap Rate Explained

How often Statistical analysis & ML is identified as a skill gap (L0–L1) in scored applications

0%

Very low gap rate — candidates generally have this skill

When Statistical analysis & ML appears in a job's requirements, 0% of scored applicants received an L0 or L1 (missing or minimal).

A high gap rate signals strong hiring leverage for candidates who have it. A low gap rate means the skill is table stakes: not having it is a disqualifier.

Frequently Asked Questions

Is Statistical analysis & ML in demand in 2026?

Yes. Statistical analysis & ML 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 Statistical analysis & ML do most jobs require?

The median required depth is L2. Many positions accept basic to intermediate proficiency.

Does knowing Statistical analysis & ML increase salary?

Salary data for Statistical analysis & ML is still accumulating.

What other skills pair with Statistical analysis & ML?

The most common pairings are E-commerce Ecosystem Understanding, Data Science Experience, Bachelor's in quantitative field, 2+ years people leadership, 7+ years in analytics/BI. Strengthening these alongside Statistical analysis & ML improves your fit across more positions.

What roles need Statistical analysis & ML the most?

Top roles: Data Science / ML, Data Analysis. Data Science / ML positions have the highest demand at 67% of all Statistical analysis & ML jobs.

How do I improve my Statistical analysis & ML 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 Statistical analysis & ML job requirements

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