5.3 KiB
5.3 KiB
Competences — data scientist
Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/258e46f9-0075-4a2e-adae-1ff0477e0f30).
Essential
- apply for research funding (skill/competence)
- apply research ethics and scientific integrity principles in research activities (skill/competence)
- build recommender systems (skill/competence)
- collect ICT data (skill/competence)
- communicate with a non-scientific audience (skill/competence)
- conduct research across disciplines (skill/competence)
- data engineering (knowledge)
- data ethics (knowledge)
- data mining (knowledge)
- data models (knowledge)
- data science (knowledge)
- data visualisation software (knowledge)
- deliver visual presentation of data (skill/competence)
- demonstrate disciplinary expertise (skill/competence)
- design database scheme (skill/competence)
- develop data processing applications (skill/competence)
- develop professional network with researchers and scientists (skill/competence)
- disseminate results to the scientific community (skill/competence)
- draft scientific or academic papers and technical documentation (skill/competence)
- empirical analysis (knowledge)
- establish data processes (skill/competence)
- evaluate research activities (skill/competence)
- execute analytical mathematical calculations (skill/competence)
- handle data samples (skill/competence)
- implement data quality processes (skill/competence)
- increase the impact of science on policy and society (skill/competence)
- information categorisation (knowledge)
- information extraction (knowledge)
- integrate gender dimension in research (skill/competence)
- interact professionally in research and professional environments (skill/competence)
- interpret current data (skill/competence)
- manage data collection systems (skill/competence)
- manage findable accessible interoperable and reusable data (skill/competence)
- manage intellectual property rights (skill/competence)
- manage open publications (skill/competence)
- manage personal professional development (skill/competence)
- manage research data (skill/competence)
- mathematical modelling (knowledge)
- mentor individuals (skill/competence)
- normalise data (skill/competence)
- online analytical processing (knowledge)
- operate open source software (skill/competence)
- perform data cleansing (skill/competence)
- perform project management (skill/competence)
- perform scientific research (skill/competence)
- promote open innovation in research (skill/competence)
- promote the participation of citizens in scientific and research activities (skill/competence)
- promote the transfer of knowledge (skill/competence)
- publish academic research (skill/competence)
- quantitative analysis (knowledge)
- query languages (knowledge)
- report analysis results (skill/competence)
- resource description framework query language (knowledge)
- scientific literature (knowledge)
- speak different languages (skill/competence)
- statistical modeling techniques (knowledge)
- statistics (knowledge)
- synthesise information (skill/competence)
- think abstractly (skill/competence)
- use data processing techniques (skill/competence)
- use databases (skill/competence)
- visual presentation techniques (knowledge)
- write scientific publications (skill/competence)
Optional
- apply blended learning (skill/competence)
- business analytics (knowledge)
- business intelligence (knowledge)
- computational biology (knowledge)
- computer simulation (knowledge)
- create data models (skill/competence)
- data quality assessment (knowledge)
- define data quality criteria (skill/competence)
- design database in the cloud (skill/competence)
- digital curation (knowledge)
- Hadoop (knowledge)
- healthcare analytics (knowledge)
- image recognition (knowledge)
- integrate ICT data (skill/competence)
- LDAP (knowledge)
- LINQ (knowledge)
- make data-driven decisions (skill/competence)
- manage data (skill/competence)
- manage ICT data architecture (skill/competence)
- manage ICT data classification (skill/competence)
- marketing analytics (knowledge)
- MDX (knowledge)
- multidisciplinary research (knowledge)
- N1QL (knowledge)
- perform data mining (skill/competence)
- research design (knowledge)
- scientific computing (knowledge)
- social network analysis (knowledge)
- SPARQL (knowledge)
- state estimation (knowledge)
- teach in academic or vocational contexts (skill/competence)
- unstructured data (knowledge)
- use spreadsheets software (skill/competence)
- XQuery (knowledge)
Market evidence (job-ad analysis, 46 ads, as of 2026-07-11)
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
Hard skills
- machine learning — 67 %
- data analysis — 57 %
- statistical modeling — 37 %
- statistical analysis — 33 %
- predictive modeling — 28 %
- data mining — 26 %
- data visualization — 20 %
- natural language processing — 20 %
Responsibilities
- data analysis — 35 %
- model development — 24 %