Data scientists skill proficiency worldwide 2024

In 2024, data scientists worldwide demonstrated varying levels of proficiency across different skills according to DevSkiller assessments. CSV handling emerged as the most proficient skill, reaching an advanced-level score of 73.

This high proficiency in CSV manipulation highlights the continued importance of working with structured data in various formats. Data analysis and data structures followed closely behind, with scores of 69 and 68, respectively, indicating strong foundational skills among data scientists. Nonetheless, several skills fell just above the intermediate threshold, including data selection, ETL fundamentals, and classification algorithms.

Average skill proficiency of data scientists worldwide in 2024

Characteristic	DevSkiller proficiency score
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Release date

2024

More information

Region

Worldwide

Survey time period

January 1 to June 30, 2024

Number of respondents

15,337 respondents

Special properties

Employed IT professionals

Supplementary notes

The DevSkiller assessment scale features five proficiency levels for assessing skills by job position. The clean slate (0%) level indicates that the skill has not been rated or assessed. At the basic (≥20%) level, the user has no competence in the area and requires full supervision to complete tasks. Users at the intermediate (≥50%) level can complete standard tasks independently but still need supervision in non-standard scenarios. The advanced (≥70%) level signifies the ability to complete all tasks unassisted, with no supervision required for non-standard situations. Finally, at the expert (100%) level, users can mentor others, create new standards, and continuously grow their expertise in the area.

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