5.2 KiB
5.2 KiB
name, description
| name | description |
|---|---|
| data-scientist | Occupational skill for the role 'data scientist' (also: data expert, research data scientist, data research scientist, electromobility data scientist). Use when the user asks for typical data scientist work such as: Report results of statistical analyses in peer-reviewed papers and technical manuals.; Develop software applications or programming for statistical modeling and graphic analysis.; Present statistical and nonstatistical results, using charts, bullets, and graphs, in meetings or conferences to audiences such as clients, peers, and students. |
Data Scientist
Data scientists locate and interpret rich data sources, manage large volumes of data, merge these sources, and ensure data-set consistency; they also create visualizations to facilitate understanding. Utilizing data, they build mathematical models, present and communicate insights and findings to both specialists and non-expert audiences as needed, and recommend practical applications for the data.
Core workflow
- Report results of statistical analyses in peer-reviewed papers and technical manuals.
- Develop software applications or programming for statistical modeling and graphic analysis.
- Present statistical and nonstatistical results, using charts, bullets, and graphs, in meetings or conferences to audiences such as clients, peers, and students.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Process large amounts of data for statistical modeling and graphic analysis, using computers.
- Identify relationships and trends in data, as well as any factors that could affect the results of research.
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
How to use this skill
- Read references/profile.md for the occupation profile and scope.
- Consult references/tasks.md for the full task and activity inventory.
- Check references/skills.md for essential vs. optional competences.
- Check references/tools.md for the software commonly used in this role.
- See references/ai-skills.md — matched external AI agent skills (tiered, per-source attribution).
- See references/practitioner-qa.md — curated Stack Exchange practitioner Q&A (per-entry attribution, CC-BY-SA 4.0).
Key competences (essential)
- apply for research funding
- apply research ethics and scientific integrity principles in research activities
- build recommender systems
- collect ICT data
- communicate with a non-scientific audience
- conduct research across disciplines
- data engineering
- data ethics
- data mining
- data models
- data science
- data visualisation software
- deliver visual presentation of data
- demonstrate disciplinary expertise
- design database scheme
- develop data processing applications
- develop professional network with researchers and scientists
- disseminate results to the scientific community
- draft scientific or academic papers and technical documentation
- empirical analysis
- establish data processes
- evaluate research activities
- execute analytical mathematical calculations
- handle data samples
- implement data quality processes
- increase the impact of science on policy and society
- information categorisation
- information extraction
- integrate gender dimension in research
- interact professionally in research and professional environments
- interpret current data
- manage data collection systems
- manage findable accessible interoperable and reusable data
- manage intellectual property rights
- manage open publications
- manage personal professional development
- manage research data
- mathematical modelling
- mentor individuals
- normalise data
- online analytical processing
- operate open source software
- perform data cleansing
- perform project management
- perform scientific research
- promote open innovation in research
- promote the participation of citizens in scientific and research activities
- promote the transfer of knowledge
- publish academic research
- quantitative analysis
- query languages
- report analysis results
- resource description framework query language
- scientific literature
- speak different languages
- statistical modeling techniques
- statistics
- synthesise information
- think abstractly
- use data processing techniques
- use databases
- visual presentation techniques
- write scientific publications
Hot technologies
Top tools from 46 gated job ads (see references/market.md, as of 2026-07-11):
- Python — 78 %
- SQL — 46 %
- Spark — 24 %
- AWS — 22 %
- EMR — 11 %
- Hadoop — 11 %
- scikit-learn — 11 %
- Azure — 9 %
- Conda — 9 %
- H2O — 9 %
Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/258e46f9-0075-4a2e-adae-1ff0477e0f30), ONET 30.3 (15-2041.00). See manifest.json for licensing/attribution.* ONET nearest match: 15-2041.00 Statisticians (proxy — no exact ONET occupation exists).