Mwanasayansi wa data
Wanasayansi wa data hutumia takwimu, kujifunza kwa mashine na mbinu nyingine za hali ya juu kupata mifumo katika data za afya na matunzo na kujenga miundo inayosaidia huduma kupanga, kutabiri na kuboresha matunzo. Kazi ya kawaida hujumuisha kutabiri mahitaji, kutambua wagonjwa wanaoweza kunufaika na msaada wa mapema, na kutathmini athari za mabadiliko ya huduma. Hufanya kazi kwa karibu na madaktari na wachambuzi, na kuhakikisha miundo ni halali, ya haki, na inatumika kwa usalama.
Tafsiri hii ilifanywa kutoka Kiingereza na msaidizi wa akili bandia na bado haijakaguliwa na mzungumzaji asilia. Nukuu kutoka UK GDaD PCF (Mfumo wa Uwezo wa Taaluma ya Kidijitali na Data wa Serikali ya Uingereza) na ESCO zinabaki kwa Kiingereza.
- Familia
- Data
- Jukumu la UK GDaD PCF
- Data scientist (Data)
- Taaluma za ESCO
- data scientist (ISCO-08 2511); statistician (ISCO-08 2120)
- Kwenye GitHub
- Hati ya jukumu · Data za jukumu
Ngazi
| Daraja | Ngazi ya jukumu | Kiwango cha UK GDaD PCF | Madaraja ya Utumishi wa Umma | Alama za tathmini ya kazi |
|---|---|---|---|---|
| 4 | Mwanasayansi wa data mwanafunzi | Trainee data scientist | AO/EO | 276 |
| 5 | Mwanasayansi msaidizi wa data | Associate data scientist | EO/HEO | 350 |
| 6 | Mwanasayansi wa data | Data scientist | HEO/SEO | 427 |
| 7 | Mwanasayansi mkuu wa data | Principal data scientist | SEO/G7 | 507 |
| 8a | Mwanasayansi kiongozi wa data | Lead data scientist | G7/G6 | 560 |
| 8b | Mkuu wa sayansi ya data | Head of data science | G7/G6 | 603 |
Katika taasisi ya huduma za afya za kidijitali
- Muundo unaosaidia maamuzi kuhusu wagonjwa unaweza kusababisha madhara ukiwa si sahihi au una upendeleo, hivyo miundo huthibitishwa kwa watu watakaoitumia na kutathminiwa kwa usalama wa kitabibu.
- Data za afya zinaakisi ukosefu wa usawa katika kupata matunzo, hivyo miundo inaweza kurudia au kuzidisha ukosefu wa usawa wa afya isipokuwa upendeleo upimwe na kushughulikiwa kwa kila kundi la wagonjwa.
- Baadhi ya miundo, kama ile inayoongoza utambuzi au matibabu, inaweza kudhibitiwa kama vifaa tiba, na udhibiti wa AI unaweza pia kutumika.
- Sayansi ya data mara nyingi inahitaji data za kina za wagonjwa zilizounganishwa, hivyo kazi hufanyika katika mazingira salama, kwa data zenye majina bandia, chini ya msingi wa usimamizi wa taarifa uliokubaliwa.
- Madaktari na wagonjwa wanahitaji kuelewa na kuamini matokeo ya muundo, hivyo maelezo na mawasiliano kwa lugha rahisi ya kutokuwa na uhakika ni muhimu.
Maelezo ya jukumu la 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
Taaluma na ujuzi wa ESCO
ESCO huorodhesha ujuzi na maarifa ambayo waajiri kwa kawaida huhitaji (muhimu) au wanaweza kuhitaji (hiari) kwa kila taaluma. Yatumie kama orodha ya ukaguzi kwa mazungumzo ya maendeleo.
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.
Ujuzi na maarifa ya Muhimu (63)
Ujuzi na umahiri
- 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
Maarifa
- 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
Ujuzi na maarifa ya Hiari (34)
Ujuzi na umahiri
- 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
Maarifa
- 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.
Ujuzi na maarifa ya Muhimu (50)
Ujuzi na umahiri
- 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
Maarifa
- 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
Mengineyo
Ujuzi na maarifa ya Hiari (35)
Ujuzi na umahiri
- 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
Maarifa
Contains ESCO v1.2.1 data (https://esco.ec.europa.eu/). © European Union. Reuse authorised under Commission Decision 2011/833/EU.