Mwanasayansi msaidizi wa data

Daraja la 5 · Mwanasayansi wa data · Alama 350 za tathmini ya kazi

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.

Kiwango cha UK GDaD PCF: Associate data scientist

Mara nyingi hufanywa katika daraja la Utumishi wa Umma EO au HEO.

An associate data scientist is inquisitive, curious about data and keen to learn and develop.
At this role level, you will:
understand the basics of software development and analytical methods, and be able to develop basic models
understand and be able to implement a range of data science techniques, including machine learning
collaborate with others to develop data science solutions and outputs supporting the organisation
prepare and manipulate data, and perform analytics
present and communicate effectively
be aware of project delivery methods
be aware of ethical considerations
have knowledge of the technologies used

Contains public sector information from the UK Government Digital and Data Profession Capability Framework (https://understand-digital-data-roles-skills.service.gov.uk/), licensed under the Open Government Licence v3.0. © Crown copyright.

Wajibu

Kujenga na kujaribu miundo ya msingi ya takwimu na ya kujifunza kwa mashine, kama vile utabiri wa mahitaji, kwa mwongozo.
Kuandaa na kuunganisha seti za data za afya kwa ajili ya uundaji wa miundo katika mazingira salama.
Kupima jinsi miundo inavyofanya kazi kwa makundi tofauti ya wagonjwa na kuripoti tofauti.
Kuwasilisha matokeo na kutokuwa na uhakika kwake kwa wachambuzi na timu za huduma.
Kuandika vyanzo vya data, mbinu na dhana ili kazi iweze kurudiwa.

Ujuzi

Ujuzi	Kiwango kinachotarajiwa	Kiwango hiki kinamaanisha nini
Applied maths, statistics and scientific practicesUK GDaD PCF	Utendaji (2)	You can: apply analytical methods including exploratory data analysis and statistical testing to a specific data set, to reach accurate and reliable conclusions understand and use different performance and accuracy metrics for model validation in data science projects, hypothesis testing and information retrieval compare selected applied mathematics and statistical methods and identify their differences access and use the statistical and scientific tools available within the organisation
Data engineeringUK GDaD PCF	Utendaji (2)	You can: identify the appropriate engineering support to design and provide products for the organisation recognise the processes and tools for cleansing and preparing data, and put reusable processes and checks in place use different architectures, including cloud and on-premise use data manipulation and transformation tools
Data ethics and privacyUK GDaD PCF	Utendaji (2)	You can: apply fundamental principles of data ethics and privacy in your work under supervision share data ethics and privacy risks through appropriate channels
Data science innovationUK GDaD PCF	Utendaji (2)	You can: adopt an inquisitive and curious approach to data seek out and research new data science techniques to support learning ask questions to improve your knowledge and learn about data science norms see possibilities for improvements and innovation
Delivering business impactUK GDaD PCF	Utendaji (2)	You can: show an understanding of the organisation and the benefits of data science collaborate to help identify user needs and develop and deliver data science products communicate effectively and present analysis and visualisations tailored to your audience
Developing data science capabilityUK GDaD PCF	Utendaji (2)	You can: manage your CPD (continuous professional development) and can link your learning to objectives and organisational goals confidently talk about the benefits of data science approaches to existing and potential customers demonstrate a good understanding of key data science techniques, such as machine learning, and you can use them to build data science solutions, including reports, models and dashboards
Programming and build (data science)UK GDaD PCF	Utendaji (2)	You can: write and test scripts and create basic models in one or more languages collaborate on shared codebases, using a variety of methodologies
Understanding product deliveryUK GDaD PCF	Utendaji (2)	You can: show an awareness of the differences between delivery methods, such as Agile and waterfall, and can propose the most appropriate method to deliver each product manage your contribution to tasks to fit in with the work of your wider team
Kuelewa huduma za afya na matunzoMarejeleo haya	Uelewa (1)	Unaweza: kuelezea sehemu kuu za mfumo wa afya na matunzo na huduma ambazo taasisi inaziunga mkono kueleza kwa nini usalama wa mgonjwa na usiri ni muhimu katika kazi yako
Usimamizi wa taarifa na ulinzi wa dataMarejeleo haya	Utendaji (2)	Unaweza: kutumia kanuni za ulinzi wa data kwenye kazi yako kuchangia tathmini za athari za ulinzi wa data kushughulikia maombi ya taarifa na kumbukumbu kwa usahihi
Kuficha utambulisho na udhibiti wa ufichuziMarejeleo haya	Utendaji (2)	Unaweza: kufanya kazi na data yenye majina bandia na kufanya ukaguzi wa ufichuzi kabla ya kutoa matokeo kutambua ni lini data iliyounganishwa au ya kina inaweza kumtambulisha mgonjwa
AI salama na ya haki katika huduma za afyaMarejeleo haya	Uelewa (1)	Unaweza: kueleza jinsi muundo unavyoweza kuwadhuru wagonjwa, kwa mfano kupitia upendeleo, mabadiliko ya utendaji kadiri muda unavyopita, au kutegemea sana matokeo yake kueleza kwa nini miundo inahitaji kuthibitishwa kwa watu watakaoitumia
Istilahi za kitabibu na uainishajiMarejeleo haya	Uelewa (1)	Unaweza: kueleza tofauti kati ya istilahi za kitabibu na uainishaji kutambua istilahi za kawaida kama SNOMED CT na ICD

Sifa na uzoefu wa kawaida

Shahada katika somo linalotumia namba, uanagenzi wa sayansi ya data, au uzoefu unaolingana.

Muhtasari wa Daraja la 5

Maarifa: Ujuzi wa kitaaluma au kiufundi, kwa kawaida kutokana na shahada au uzoefu unaolingana.
Uhuru wa kutenda: Hufanya kazi kuelekea malengo mapana ndani ya viwango vya kitaaluma; hupanga kazi yake mwenyewe.
Wigo: Kazi yake ya kitaaluma ndani ya timu au bidhaa.
Uongozi: Anaweza kuwaongoza na kukagua kazi za wafanyakazi wa msaada na wanagenzi.
Uwajibikaji: Ubora wa kazi yake ya kitaaluma.

Tathmini ya kazi (ya kielelezo)

Kigezo	Kiwango	Muhtasari wa kiwango	Alama
Ujuzi wa mawasiliano na kujenga mahusiano	4	Hutoa taarifa tata, nyeti au zenye utata zinazohitaji ujuzi wa ushawishi, majadiliano au ufundishaji, au taarifa tata sana.	32
Maarifa, mafunzo na uzoefu	5	Utaalamu katika fani maalumu, unaoungwa mkono na nadharia au uzoefu wa vitendo (kiwango cha shahada au kinacholingana).	120
Ujuzi wa uchambuzi na uamuzi	4	Hufanya maamuzi kuhusu ukweli au hali tata zinazohitaji uchambuzi, ufasiri na ulinganisho wa chaguzi.	42
Ujuzi wa kupanga na kuratibu	2	Hupanga kazi au shughuli rahisi, baadhi zikiendelea.	15
Ujuzi wa kimwili	3	Ujuzi uliokuzwa unaohitaji kasi au usahihi, kama vile matumizi ya hali ya juu ya kibodi.	27
Wajibu wa huduma kwa wagonjwa na wateja	1	Huwasaidia wagonjwa, wateja au ndugu wakati wa mawasiliano ya bahati.	4
Wajibu wa sera na uendelezaji wa huduma	2	Hutekeleza sera za eneo lake na kupendekeza mabadiliko ya mazoea yake.	12
Wajibu wa rasilimali za fedha na mali	1	Hutunza binafsi vifaa na rasilimali zinazotumika katika kazi yake.	5
Wajibu kwa watu	1	Huonyesha taratibu zake za kazi kwa wenzake wapya au wenye uzoefu mdogo.	5
Wajibu wa rasilimali za taarifa	4	Hurekebisha au hubuni mifumo ya taarifa kwa vigezo vya wengine, au huendesha mifumo ya taarifa ya idara kama jukumu kuu.	24
Wajibu wa utafiti na maendeleo	2	Mara kwa mara hufanya utafiti, maendeleo, majaribio ya kitaalamu, au majaribio ya vifaa na mifumo kama sehemu ya kazi.	12
Uhuru wa kutenda	3	Hufuata sera na taratibu zilizobainishwa; kazi husimamiwa kwa uongozi badala ya ukaguzi wa karibu.	21
Juhudi za kimwili	2	Kukaa au kusimama mara kwa mara katika nafasi finyu, au juhudi nyepesi hadi za wastani mara chache.	7
Juhudi za kiakili	3	Umakini wa mara kwa mara kwenye kazi isiyotabirika, au umakini wa muda mrefu mara chache.	12
Juhudi za kihisia	1	Kukumbana mara chache, au kukumbana kwa njia isiyo ya moja kwa moja mara chache, na hali zenye kusikitisha.	5
Mazingira ya kazi	2	Mazingira yasiyopendeza mara chache, safari za mara kwa mara au kazi za nje, au matumizi ya skrini karibu bila kikomo siku nyingi.	7
Jumla (Daraja la 5: 326 hadi 395)			350