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.

Scope note

Excludes people performing engineering and programming activities. Excludes people performing managerial and general focus research activities.

Alternative Labels

data expert

data research scientist

research data scientist

Regulatory Aspect

To see if and how this occupation is regulated in EU Member States, EEA countries or Switzerland please consult the Regulated Professions Database of the Commission. Regulated Professions Database:

http://ec.europa.eu/growth/single-market/services/free-movement-professionals/qualifications-recognition_en

Skills & Competences

Essential Skills and Competences

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 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 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 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 mentor individuals normalise data 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 report analysis results speak different languages synthesise information think abstractly use data processing techniques use databases write scientific publications

Essential Knowledge

data engineering data ethics data mining data models data science data visualisation software empirical analysis information categorisation information extraction mathematical modelling online analytical processing quantitative analysis query languages resource description framework query language scientific literature statistical modeling techniques statistics visual presentation techniques

Optional Skills and Competences

apply blended learning create data models define data quality criteria design database in the cloud integrate ICT data make data-driven decisions manage ICT data architecture manage ICT data classification manage data perform data mining teach in academic or vocational contexts use spreadsheets software

Optional Knowledge

Hadoop LDAP LINQ MDX N1QL SPARQL XQuery business analytics business intelligence computational biology computer simulation data quality assessment digital curation healthcare analytics image recognition marketing analytics multidisciplinary research research design scientific computing social network analysis state estimation unstructured data

Skills & Competences

Concept URI

Concept Uri

http://data.europa.eu/esco/occupation/258e46f9-0075-4a2e-adae-1ff0477e0f30

Status

released

Occupations

data scientist

Description

Skills & Competences

Skills & Competences

Concept URI