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data-scientist/references/skills.md
2026-08-14 17:28:35 +02:00

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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 %