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Skill Demand Index

Data Science Industry Exp — Demand & Depth Analysis

Based on 1 scored job postings out of 4,995 total. Depth levels reflect actual proficiency tiers, not just keyword presence.

0%

Demand Rate

L1

Median Depth

100%

Gap Rate

1

Jobs Analyzed

L1100% of postings

Minimal

Most employers want Data Science Industry Exp at introductory awareness.

Overview

What is Data Science Industry Exp?

Market context for Data Science Industry Exp in the current job market

Data Science Industry Exp is required in 0% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Data Science Industry Exp typically want candidates who can demonstrate real proficiency, not just surface awareness.

What the data shows for Data Science Industry Exp:

  • •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 Data Science Industry Exp 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 Data Science Industry Exp 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 Data Science Industry Exp at the depth employers need. This is a real opportunity for candidates who invest in building genuine proficiency.

Which roles need Data Science Industry Exp most:

Data Science / ML positions drive 100% of demand. Skills commonly paired with Data Science Industry Exp include Cross-functional Collaboration and E-commerce Ecosystem Understanding.

Depth Level Distribution

Proficiency Distribution

How candidates match Data Science Industry Exp requirements across 1 scored evaluations

L0 — Missing
0% (0)
L1 — Minimal
100% (1)
DOMINANT
L2 — Basic
0% (0)
L3 — Proficient
0% (0)
L4 — Advanced
0% (0)
L5 — Expert
0% (0)

Average depth: L1.0·Median depth: L1.0

Salary Correlation

Pay Impact

How Data Science Industry Exp affects compensation based on postings with disclosed salary data

Without Data Science Industry Exp

$140K

Median $133K

1235 jobs

Skill Demand Insight

“Data Science Industry Exp appears in 0% of all scored jobs.”

From 1 scored job postings

Skill Pairings

Commonly Paired Skills

Other skills that frequently appear alongside Data Science Industry Exp

Role Breakdown

Top Role Categories

Job categories most likely to require Data Science Industry Exp

Gap Analysis

Gap Rate Explained

How often Data Science Industry Exp is identified as a skill gap (L0–L1) in scored applications

100%

High gap rate — most candidates are underqualified

When Data Science Industry Exp appears in a job's requirements, 100% 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 Data Science Industry Exp in demand in 2026?

Yes. Data Science Industry Exp 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 Data Science Industry Exp do most jobs require?

The median required depth is L1. Many positions accept basic to intermediate proficiency.

Does knowing Data Science Industry Exp increase salary?

Salary data for Data Science Industry Exp is still accumulating.

What other skills pair with Data Science Industry Exp?

The most common pairings are Cross-functional Collaboration, E-commerce Ecosystem Understanding, Project Ownership & Leadership, Advanced Analytics/Modeling, Bachelor's Degree. Strengthening these alongside Data Science Industry Exp improves your fit across more positions.

What roles need Data Science Industry Exp the most?

Top roles: Data Science / ML. Data Science / ML positions have the highest demand at 100% of all Data Science Industry Exp jobs.

How do I improve my Data Science Industry Exp 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 Data Science Industry Exp job requirements

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