Skill Demand Index
Based on 1 scored job postings out of 2,449 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/Engineering at basic competency with practical application.
Overview
Market context for Data Science/Engineering in the current job market
Data Science/Engineering 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/Engineering typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Data Science/Engineering:
What L2 means in practice:
L2 (Basic) means you’ve built small things with Data Science/Engineering — personal projects or bootcamp work. Employers accept this for junior roles.
This means employers aren't looking for someone who has used Data Science/Engineering 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/Engineering proficiency. To stand out, aim for L4-L5 depth with concrete evidence.
Which roles need Data Science/Engineering most:
Software Engineering positions drive 100% of demand. Skills commonly paired with Data Science/Engineering include People Management and SQL.
Depth Level Distribution
How candidates match Data Science/Engineering requirements across 1 scored evaluations
Average depth: L2.0·Median depth: L2.0
Salary Correlation
How Data Science/Engineering affects compensation based on postings with disclosed salary data
Without Data Science/Engineering
$137K
Median $130K
453 jobs
Skill Demand Insight
“Data Science/Engineering appears in 0% of all scored jobs.”
From 1 scored job postings
Skill Pairings
Other skills that frequently appear alongside Data Science/Engineering
Role Breakdown
Job categories most likely to require Data Science/Engineering
Gap Analysis
How often Data Science/Engineering is identified as a skill gap (L0–L1) in scored applications
Very low gap rate — candidates generally have this skill
When Data Science/Engineering appears in a job's requirements, 0% of scored applicants received an L0 or L1 (missing or minimal).
Yes. Data Science/Engineering 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.
The median required depth is L2. Many positions accept basic to intermediate proficiency.
Salary data for Data Science/Engineering is still accumulating.
The most common pairings are People Management, SQL, Python, Data Engineering Experience, Cloud Platforms. Strengthening these alongside Data Science/Engineering improves your fit across more positions.
Top roles: Software Engineering. Software Engineering positions have the highest demand at 100% of all Data Science/Engineering 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 Data Science/Engineering job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Data Science/Engineering gaps →See how your depth compares to what employers actually require
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