Ilmuwan data
Ilmuwan data memakai statistik, pembelajaran mesin, dan metode lanjutan lain untuk menemukan pola dalam data kesehatan dan perawatan dan membangun model yang membantu layanan merencanakan, memprediksi, dan memperbaiki perawatan. Pekerjaan yang lazim mencakup meramalkan permintaan, mengidentifikasi pasien yang mungkin mendapat manfaat dari dukungan dini, dan mengevaluasi dampak perubahan layanan. Mereka bekerja erat dengan tenaga klinis dan analis, dan memastikan model valid, adil, dan dipakai dengan aman.
Teks ini diterjemahkan dari bahasa Inggris oleh asisten kecerdasan buatan dan belum ditinjau oleh penutur asli bahasa Indonesia. Kutipan dari Kerangka Kapabilitas Profesi Digital dan Data Pemerintah Inggris (UK GDaD PCF) dan dari ESCO tetap dalam bahasa Inggris.
- Rumpun
- Data
- Peran UK GDaD PCF
- Data scientist (Data)
- Jabatan ESCO
- data scientist (ISCO-08 2511); statistician (ISCO-08 2120)
- Di GitHub
- Dokumen peran · Data peran
Tingkat
| Pita | Tingkat peran | Tingkat UK GDaD PCF | Golongan pegawai negeri | Poin penilaian jabatan |
|---|---|---|---|---|
| 4 | Ilmuwan data pemagang | Trainee data scientist | AO/EO | 276 |
| 5 | Ilmuwan data asosiat | Associate data scientist | EO/HEO | 350 |
| 6 | Ilmuwan data | Data scientist | HEO/SEO | 427 |
| 7 | Ilmuwan data utama | Principal data scientist | SEO/G7 | 507 |
| 8a | Ilmuwan data pimpinan | Lead data scientist | G7/G6 | 560 |
| 8b | Kepala ilmu data | Head of data science | G7/G6 | 603 |
Di organisasi layanan kesehatan digital
- Model yang mendukung keputusan tentang pasien dapat menimbulkan kerugian jika salah atau bias, sehingga model divalidasi pada populasi tempat model itu akan dipakai dan dinilai keselamatan kliniknya.
- Data kesehatan mencerminkan akses perawatan yang tidak setara, sehingga model dapat mengulang atau memperburuk ketimpangan kesehatan kecuali bias diukur dan ditangani untuk setiap kelompok pasien.
- Sebagian model, seperti yang menginformasikan diagnosis atau pengobatan, dapat diatur sebagai alat kesehatan, dan regulasi AI juga dapat berlaku.
- Ilmu data sering memerlukan data pasien yang rinci dan tertaut, sehingga pekerjaan berlangsung di lingkungan yang aman, dengan data yang dipseudonimkan, di bawah dasar tata kelola informasi yang disepakati.
- Tenaga klinis dan pasien perlu memahami dan memercayai keluaran model, sehingga penjelasan dan komunikasi ketidakpastian dalam bahasa sederhana itu penting.
Deskripsi peran 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
Jabatan dan keterampilan ESCO
ESCO mencantumkan keterampilan dan pengetahuan yang biasanya dibutuhkan pemberi kerja (esensial) atau mungkin dibutuhkan (opsional) untuk setiap jabatan. Pakailah sebagai daftar periksa untuk percakapan pengembangan.
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.
Keterampilan dan pengetahuan Esensial (63)
Keterampilan dan kompetensi
- 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
Pengetahuan
- 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
Keterampilan dan pengetahuan Opsional (34)
Keterampilan dan kompetensi
- 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
Pengetahuan
- 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.
Keterampilan dan pengetahuan Esensial (50)
Keterampilan dan kompetensi
- 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
Pengetahuan
- 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
Lainnya
Keterampilan dan pengetahuan Opsional (35)
Keterampilan dan kompetensi
- 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
Pengetahuan
Contains ESCO v1.2.1 data (https://esco.ec.europa.eu/). © European Union. Reuse authorised under Commission Decision 2011/833/EU.