data scientist (EN)
ISCO 2511 · v1.2.1
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Classification skills are not a measurement of your proficiency or future displaced hours.
Source aliases (EN)
- electromobility data scientist
- research data scientist
- data expert
- data research scientist
Skills and knowledge
Essential (EN) · 63
- draft scientific or academic papers and technical documentation
- mathematical modelling
- normalise data
- manage research data
- use data processing techniques
- interpret current data
- interact professionally in research and professional environments
- data mining
- disseminate results to the scientific community
- operate open source software
- establish data processes
- speak different languages
- execute analytical mathematical calculations
- visual presentation techniques
- evaluate research activities
- demonstrate disciplinary expertise
- use databases
- data engineering
- handle data samples
- increase the impact of science on policy and society
- manage findable accessible interoperable and reusable data
- perform scientific research
- build recommender systems
- perform data cleansing
- manage intellectual property rights
- apply for research funding
- quantitative analysis
- data visualisation software
- statistical modeling techniques
- information extraction
- design database scheme
- implement data quality processes
- scientific literature
- collect ICT data
- statistics
- apply research ethics and scientific integrity principles in research activities
- promote open innovation in research
- information categorisation
- publish academic research
- promote the transfer of knowledge
- resource description framework query language
- think abstractly
- query languages
- mentor individuals
- manage data collection systems
- manage personal professional development
- online analytical processing
- write scientific publications
- deliver visual presentation of data
- report analysis results
- develop professional network with researchers and scientists
- integrate gender dimension in research
- perform project management
- manage open publications
- data ethics
- data science
- empirical analysis
- synthesise information
- conduct research across disciplines
- develop data processing applications
- promote the participation of citizens in scientific and research activities
- data models
- communicate with a non-scientific audience
Optional (EN) · 34
- manage ICT data classification
- computer simulation
- marketing analytics
- business intelligence
- use spreadsheets software
- MDX
- social network analysis
- XQuery
- perform data mining
- image recognition
- integrate ICT data
- teach in academic or vocational contexts
- manage ICT data architecture
- define data quality criteria
- scientific computing
- SPARQL
- research design
- design database in the cloud
- digital curation
- business analytics
- multidisciplinary research
- manage data
- healthcare analytics
- LDAP
- apply blended learning
- make data-driven decisions
- unstructured data
- LINQ
- data quality assessment
- state estimation
- Hadoop
- computational biology
- N1QL
- create data models
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