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Skill · Frameworks

scikit-learn

The Python library for classical machine learning.

3.8%
of core AI postings mention it
135
postings
110
companies
—
30-day change · from 2nd edition

Which roles ask for it

Share of each role's postings that mention this skill.

  1. Data Scientist
    39 postings
    25.8%
  2. MLOps / Platform Engineer
    2 postings
    5.3%
  3. AI Researcher
    3 postings
    5.0%
  4. Computer Vision Engineer
    5 postings
    4.4%
  5. AI Engineer
    66 postings
    3.8%
  6. Algorithm Engineer
    10 postings
    3.1%
  7. LLM / NLP Engineer
    4 postings
    2.3%
  8. Smart Manufacturing / AOI
    1 postings
    0.4%
  9. AI Product / Project Manager
    1 postings
    0.3%

Skills that appear with it

Share of the postings mentioning scikit-learn that also mention each skill.

  1. Python
    Languages
    96.3%
  2. Machine Learning
    Machine learning
    88.1%
  3. PyTorch
    Frameworks
    81.5%
  4. TensorFlow
    Frameworks
    75.6%
  5. Deep Learning
    Machine learning
    61.5%
  6. LLM
    LLM applications
    46.7%
  7. pandas
    Frameworks
    40.0%
  8. Git
    Tools
    39.3%
  9. Data Analysis
    Data engineering
    38.5%
  10. NumPy
    Frameworks
    37.0%
  11. SQL
    Languages
    37.0%
  12. NLP
    Machine learning
    35.6%

Industries and places

Share of this skill's postings.

Industry
  1. Software & Internet
    45
    33.3%
  2. Electronics & Hardware
    20
    14.8%
  3. Finance & Insurance
    15
    11.1%
  4. Healthcare & Biotech
    11
    8.2%
  5. Professional Services
    10
    7.4%
  6. Semiconductor
    9
    6.7%
  7. Manufacturing
    8
    5.9%
  8. Wholesale, Retail & E-commerce
    6
    4.4%
  9. Telecom, Media & Digital Content
    4
    3.0%
  10. Consulting & Marketing Services
    4
    3.0%
  11. Logistics & Transport
    1
    0.7%
  12. Construction & Real Estate
    1
    0.7%
Place
  1. Taipei
    71
    52.6%
  2. New Taipei
    17
    12.6%
  3. Taichung
    15
    11.1%
  4. Hsinchu County
    9
    6.7%
  5. Hsinchu City
    8
    5.9%
  6. Kaohsiung
    7
    5.2%
  7. Taoyuan
    4
    3.0%
  8. Tainan
    2
    1.5%
  9. Pingtung
    1
    0.7%

Where this number is read from

Of the 135 postings, how many were found through the employer's own skill tags, the title, and the job description. A posting can carry more than one kind of evidence, so the three add up to more than the posting count.

  1. Employer's skill tags
    52
  2. Job title
    0
  3. Job description
    106
The data on this page
Data as of
September 11, 2026
Core AI postings this edition
3,523
Method version
2026.09.1

This page is not indexed yet: change needs a second edition.

Methodology →All skills →