Occupation Atlasdata scientist
ESCO · http://data.europa.eu/esco/occupation/258e46f9-0075-4a2e-adae-1ff0477e0f30
data scientist
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.
Job Zone
- 1
- 2
- 3
- 4
- 5
Zone 4: Considerable Preparation Needed
Considerable preparation. Usually a bachelor's degree plus several years of work-related experience, knowledge, or training.
Job Zone is O*NET's rating of how much education, experience and training an occupation typically needs — a property of the work, not of anyone doing it.
Occupational interest profile
ICAInvestigative · Conventional · Artistic — the three strongest interests, in order
- I Investigative6.98
- C Conventional5.39
- A Artistic2.61
- R Realistic2.17
- E Enterprising1.71
- S Social1.66
RIASEC (Holland) interests on O*NET's 0–7 scale: what the work draws on, not what any individual prefers. Hover a row for what each dimension means.
Job Zone and interest data are borrowed from Data Scientists (15-2051.00): in the official ESCO–O*NET crosswalk, its exact O*NET match, and the best-ranked match that has them. ESCO doesn't publish them directly.
Typically associated skills
Essential (63)
ESCO's essential and optional tags describe how its taxonomy relates a skill to this occupation. They are not the essential functions of a job under the ADA, which an employer determines for its own role.
- 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
Optional (34)
- Hadoop
- LDAP
- LINQ
- MDX
- N1QL
- SPARQL
- XQuery
- apply blended learning
- business analytics
- business intelligence
- computational biology
- computer simulation
- create data models
- data quality assessment
- define data quality criteria
- design database in the cloud
- digital curation
- healthcare analytics
- image recognition
- integrate ICT data
- make data-driven decisions
- manage ICT data architecture
- manage ICT data classification
- manage data
- marketing analytics
- multidisciplinary research
- perform data mining
- research design
- scientific computing
- social network analysis
- state estimation
- teach in academic or vocational contexts
- unstructured data
- use spreadsheets software
O*NET equivalents
From the official ESCO–O*NET crosswalk, strongest match first. A broader occupation takes in this one; a narrower one is a part of it.
Closest occupations
Compare any occupation →ESCO occupations that share the most of this occupation's 63 essential skills. A plain count, not a hidden score.
statistician
37 shared · 13 more of its owndata ethics, statistical modeling techniques, data science, quantitative analysis
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demographer
34 shared · 10 more of its ownempirical analysis, use data processing techniques, scientific literature, execute analytical mathematical calculations
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biometrician
33 shared · 11 more of its owninterpret current data, data science, execute analytical mathematical calculations, statistics
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behavioural scientist
33 shared · 12 more of its ownempirical analysis, scientific literature, report analysis results, statistics
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economist
33 shared · 14 more of its ownempirical analysis, quantitative analysis, execute analytical mathematical calculations, statistics
ESCO · Compare
physicist
33 shared · 17 more of its ownmathematical modelling, scientific literature, execute analytical mathematical calculations, statistics
ESCO · Compare
bioinformatics scientist
33 shared · 23 more of its owninterpret current data, use databases, scientific literature, statistics
ESCO · Compare
astronomer
32 shared · 9 more of its ownscientific literature, execute analytical mathematical calculations, statistics, manage findable accessible interoperable and reusable data
ESCO · Compare
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This page includes information from the O*NET 31.0 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license; O*NET® is a trademark of USDOL/ETA. ESCO occupations and skills are from the European Commission's ESCO classification, and the occupation crosswalk is the official ESCO–O*NET mapping by the ESCO Secretariat with USDOL/ETA. This service uses the ESCO classification of the European Commission. BlissPoint Analytics has modified all or some of this information: skill, task and descriptor ratings are rounded to one decimal, and ESCO occupations show Job Zone and interests copied from a crosswalked O*NET occupation. USDOL/ETA has not approved, endorsed, or tested these modifications.