Datawetenschapper
Datawetenschappers gebruiken statistiek, machine learning en andere geavanceerde methoden om patronen in data over gezondheid en zorg te vinden en modellen te bouwen die diensten helpen zorg te plannen, te voorspellen en te verbeteren. Typisch werk is de vraag voorspellen, patiënten vinden die baat kunnen hebben bij vroege ondersteuning en het effect van wijzigingen in diensten evalueren. Zij werken nauw samen met clinici en analisten en zorgen dat modellen geldig en eerlijk zijn en veilig worden gebruikt.
Deze tekst is door een AI-assistent uit het Engels vertaald en is nog niet beoordeeld door een moedertaalspreker. Citaten uit het UK GDaD PCF (het kader voor digitale en datagerelateerde beroepen van de Britse overheid) en uit ESCO blijven in het Engels.
- Familie
- Data
- Rol in het UK GDaD PCF
- Data scientist (Data)
- Beroepen in ESCO
- data scientist (ISCO-08 2511); statistician (ISCO-08 2120)
- Op GitHub
- Roldocument · Roldata
Niveaus
| Band | Rolniveau | Niveau in het UK GDaD PCF | Rangen in de Britse Civil Service | Punten van de functiewaardering |
|---|---|---|---|---|
| 4 | Trainee datawetenschapper | Trainee data scientist | AO/EO | 276 |
| 5 | Associate datawetenschapper | Associate data scientist | EO/HEO | 350 |
| 6 | Datawetenschapper | Data scientist | HEO/SEO | 427 |
| 7 | Principal datawetenschapper | Principal data scientist | SEO/G7 | 507 |
| 8a | Lead datawetenschapper | Lead data scientist | G7/G6 | 560 |
| 8b | Hoofd datawetenschap | Head of data science | G7/G6 | 603 |
In een organisatie voor digitale gezondheid en zorg
- Een model dat beslissingen over patiënten ondersteunt, kan schade veroorzaken als het onjuist of vertekend is, dus modellen worden gevalideerd op de populatie waarmee ze worden gebruikt en beoordeeld op klinische veiligheid.
- Gezondheidsdata weerspiegelen ongelijke toegang tot zorg, dus modellen kunnen ongelijkheid in gezondheid herhalen of verergeren tenzij vertekening voor elke groep patiënten wordt gemeten en aangepakt.
- Sommige modellen, zoals die diagnose of behandeling informeren, kunnen als medisch hulpmiddel gereguleerd zijn, en regelgeving voor AI kan ook van toepassing zijn.
- Datawetenschap vraagt vaak gekoppelde, gedetailleerde patiëntdata, dus het werk gebeurt in beveiligde omgevingen, met gepseudonimiseerde data, op een afgesproken grondslag in informatiebeheer.
- Clinici en patiënten moeten de uitvoer van een model begrijpen en vertrouwen, dus uitleg en communicatie van onzekerheid in begrijpelijke taal tellen.
Roldescriptie in het UK GDaD PCF
Data science is a broad and fast-moving field spanning maths, statistics, software engineering and communications. Data scientists will often work as part of a multidisciplinary team, using data and analytics to inform and achieve organisational goals.
In this role, you will:
- be inquisitive
- explore and visualise data
- make recommendations to address complex problems and to inform strategic and operational decision making
- use data ethically and appropriately
- be innovative and adaptable
- explore existing and new data using a range of statistical tools and techniques, such as machine learning and predictive analytics
- find patterns in data and transform them into organisational insight
Beroepen en vaardigheden in ESCO
ESCO somt de vaardigheden en kennis op die werkgevers meestal nodig hebben (essentieel) of nodig kunnen hebben (optioneel) voor elk beroep. Gebruik ze als checklist voor gesprekken over ontwikkeling.
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.
Essentieel vaardigheden en kennis (63)
Vaardigheden en competenties
- 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
Kennis
- 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
Optioneel vaardigheden en kennis (34)
Vaardigheden en competenties
- 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
Kennis
- 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
statistician
Statisticians collect, tabulate, and, most importantly, analyse quantitative information coming from a varied array of fields. They interpret and analyse statistical studies on fields such as health, demographics, finance, business, etc. and advise based on patterns and drawn analysis.
Essentieel vaardigheden en kennis (50)
Vaardigheden en competenties
- apply for research funding
- apply research ethics and scientific integrity principles in research activities
- apply scientific methods
- apply statistical analysis techniques
- communicate with a non-scientific audience
- conduct quantitative research
- conduct research across disciplines
- demonstrate disciplinary expertise
- develop professional network with researchers and scientists
- disseminate results to the scientific community
- draft scientific or academic papers and technical documentation
- evaluate research activities
- execute analytical mathematical calculations
- gather data
- identify statistical patterns
- increase the impact of science on policy and society
- integrate gender dimension in research
- interact professionally in research and professional environments
- manage findable accessible interoperable and reusable data
- manage intellectual property rights
- manage open publications
- manage personal professional development
- manage research data
- mentor individuals
- operate open source software
- perform data analysis
- perform project management
- perform scientific research
- process data
- promote open innovation in research
- promote the participation of citizens in scientific and research activities
- promote the transfer of knowledge
- publish academic research
- speak different languages
- synthesise information
- think abstractly
- write scientific publications
Kennis
- data ethics
- data quality assessment
- data science
- mathematical modelling
- mathematics
- quantitative analysis
- research design
- scientific literature
- scientific research methodology
- statistical analysis system software
- statistical modeling techniques
- statistics
Overig
Optioneel vaardigheden en kennis (35)
Vaardigheden en competenties
- advise on financial matters
- advise on legislative acts
- analyse big data
- apply blended learning
- assist scientific research
- build predictive models
- carry out statistical forecasts
- conduct public surveys
- deliver visual presentation of data
- design questionnaires
- develop financial statistics reports
- develop scientific theories
- develop statistical software
- manage database
- manage quantitative data
- plan research process
- prepare lesson content
- present reports
- provide lesson materials
- teach in academic or vocational contexts
- use mathematical tools and equipment
- use spreadsheets software
- write research proposals
Kennis
Contains ESCO v1.2.1 data (https://esco.ec.europa.eu/). © European Union. Reuse authorised under Commission Decision 2011/833/EU.