Skill Demand Index
Data Science Application — Demand & Depth Analysis
Based on 1 scored job postings out of 4,003 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0%
Demand Rate
L2
Median Depth
0%
Gap Rate
1
Jobs Analyzed
Basic
Most employers want Data Science Application at basic competency with practical application.
Overview
What is Data Science Application?
Market context for Data Science Application in the current job market
Data Science Application 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 Application typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Data Science Application:
- •Required in 0% 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 — 100% of all Data Science Application jobs
What L2 means in practice:
L2 (Basic) means you’ve built small things with Data Science Application — personal projects or bootcamp work. Employers accept this for junior roles.
This means employers aren't looking for someone who has used Data Science Application 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 Data Science Application proficiency. To stand out, aim for L4-L5 depth with concrete evidence.
Which roles need Data Science Application most:
Data Science / ML positions drive 100% of demand. Skills commonly paired with Data Science Application include Bachelor's Degree and Analytical SQL.
Depth Level Distribution
Proficiency Distribution
How candidates match Data Science Application requirements across 1 scored evaluations
Average depth: L2.0·Median depth: L2.0
Salary Correlation
Pay Impact
How Data Science Application affects compensation based on postings with disclosed salary data
Without Data Science Application
$139K
Median $131K
1077 jobs
Skill Demand Insight
“Data Science Application 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 Application
Role Breakdown
Top Role Categories
Job categories most likely to require Data Science Application
Gap Analysis
Gap Rate Explained
How often Data Science Application is identified as a skill gap (L0–L1) in scored applications
Very low gap rate — candidates generally have this skill
When Data Science Application appears in a job's requirements, 0% of scored applicants received an L0 or L1 (missing or minimal).
Frequently Asked Questions
Is Data Science Application in demand in 2026?
Yes. Data Science Application 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 Application do most jobs require?
The median required depth is L2. Many positions accept basic to intermediate proficiency.
Does knowing Data Science Application increase salary?
Salary data for Data Science Application is still accumulating.
What other skills pair with Data Science Application?
The most common pairings are Bachelor's Degree, Analytical SQL, Python for Data Science, Attribution Modeling, Predictive Models. Strengthening these alongside Data Science Application improves your fit across more positions.
What roles need Data Science Application the most?
Top roles: Data Science / ML. Data Science / ML positions have the highest demand at 100% of all Data Science Application jobs.
How do I improve my Data Science Application 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 Application job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Data Science Application gaps →See how your depth compares to what employers actually require
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