Skill Demand Index
Based on 4 scored job postings out of 2,449 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0.2%
Demand Rate
L3
Median Depth
25%
Gap Rate
4
Jobs Analyzed
Minimal
Most employers want Data Science Experience at introductory awareness.
Overview
Market context for Data Science Experience in the current job market
Data Science Experience is required in 0.2% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Data Science Experience typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Data Science Experience:
What L3 means in practice:
L2 (Basic) means you’ve built small things with Data Science Experience — personal projects or bootcamp work. Employers accept this for junior roles.
This means employers aren't looking for someone who has used Data Science Experience 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 25% means a notable portion of candidates fall short on Data Science Experience. Addressing this gap directly in your application materials gives you an edge.
Which roles need Data Science Experience most:
Data Science / ML positions drive 75% of demand. Other also frequently list Data Science Experience as a requirement. Skills commonly paired with Data Science Experience include eCommerce Knowledge.
Depth Level Distribution
How candidates match Data Science Experience requirements across 4 scored evaluations
Average depth: L2.8·Median depth: L2.5
Salary Correlation
How Data Science Experience affects compensation based on postings with disclosed salary data
Without Data Science Experience
$137K
Median $130K
452 jobs
Skill Demand Insight
“Data Science Experience appears in 0.2% of all scored jobs.”
From 4 scored job postings
Skill Pairings
Other skills that frequently appear alongside Data Science Experience
25%
co-occurrence
25%
co-occurrence
25%
co-occurrence
25%
co-occurrence
25%
co-occurrence
25%
co-occurrence
25%
co-occurrence
25%
co-occurrence
Role Breakdown
Job categories most likely to require Data Science Experience
Gap Analysis
How often Data Science Experience is identified as a skill gap (L0–L1) in scored applications
Low gap rate — most candidates are reasonably qualified
When Data Science Experience appears in a job's requirements, 25% of scored applicants received an L0 or L1 (missing or minimal).
Yes. Data Science Experience appears in 0.2% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 4 analyzed jobs, demand is steady across multiple role types.
The median required depth is L3. Many positions accept basic to intermediate proficiency.
Salary data for Data Science Experience is still accumulating.
The most common pairings are eCommerce Knowledge, Retail Business Acumen, Advanced SQL skills, Advanced Python skills, Statistical Methods and Modeling. Strengthening these alongside Data Science Experience improves your fit across more positions.
Top roles: Data Science / ML, Other. Data Science / ML positions have the highest demand at 75% of all Data Science Experience 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 Experience job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Data Science Experience gaps →See how your depth compares to what employers actually require
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