4.8 KiB
4.8 KiB
Competences — computer scientist
Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/e3229e40-f571-4b26-baca-29edc8fe313e).
Essential
- apply for research funding (skill/competence)
- apply research ethics and scientific integrity principles in research activities (skill/competence)
- apply reverse engineering (skill/competence)
- apply statistical analysis techniques (skill/competence)
- communicate with a non-scientific audience (skill/competence)
- conduct literature research (skill/competence)
- conduct qualitative research (skill/competence)
- conduct quantitative research (skill/competence)
- conduct research across disciplines (skill/competence)
- conduct research interview (skill/competence)
- conduct scholarly research (skill/competence)
- data science (knowledge)
- define technology strategy (skill/competence)
- demonstrate disciplinary expertise (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)
- evaluate research activities (skill/competence)
- execute analytical mathematical calculations (skill/competence)
- execute ICT user research activities (skill/competence)
- increase the impact of science on policy and society (skill/competence)
- integrate gender dimension in research (skill/competence)
- interact professionally in research and professional environments (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)
- mentor individuals (skill/competence)
- operate open source software (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)
- scientific research methodology (knowledge)
- speak different languages (skill/competence)
- synthesise information (skill/competence)
- synthesise research publications (skill/competence)
- think abstractly (skill/competence)
- use an application-specific interface (skill/competence)
- use back-up and recovery tools (skill/competence)
- write research proposals (skill/competence)
- write scientific publications (skill/competence)
Optional
- Apache Tomcat (knowledge)
- apply blended learning (skill/competence)
- behavioural science (knowledge)
- business intelligence (knowledge)
- cognitive computing (knowledge)
- computational biology (knowledge)
- computer simulation (knowledge)
- create solutions to problems (skill/competence)
- data engineering (knowledge)
- data mining (knowledge)
- develop computer vision system (skill/competence)
- develop professional network (skill/competence)
- digitization (knowledge)
- documentation types (knowledge)
- emergent technologies (knowledge)
- image recognition (knowledge)
- implement anti-virus software (skill/competence)
- information categorisation (knowledge)
- information extraction (knowledge)
- innovate in ICT (skill/competence)
- innovation processes (knowledge)
- JavaScript Framework (knowledge)
- LDAP (knowledge)
- LINQ (knowledge)
- mathematical physics (knowledge)
- MDX (knowledge)
- N1QL (knowledge)
- NoSQL (knowledge)
- operational research (knowledge)
- perform data mining (skill/competence)
- process data (skill/competence)
- quantum computing (knowledge)
- query languages (knowledge)
- report analysis results (skill/competence)
- resource description framework query language (knowledge)
- scientific computing (knowledge)
- software frameworks (knowledge)
- SPARQL (knowledge)
- SQL (knowledge)
- teach in academic or vocational contexts (skill/competence)
- unstructured data (knowledge)
- use presentation software (skill/competence)
- use query languages (skill/competence)
- use spreadsheets software (skill/competence)
- XQuery (knowledge)
Market evidence (job-ad analysis, 40 ads, as of 2026-07-10)
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
Hard skills
- reverse engineering — 32 %
- data analysis — 30 %
- software development — 28 %
- attack attribution — 20 %
Responsibilities
- solution design — 20 %