data scientist
Code 2511.4
The data scientist (data scientist) designs statistical or machine-learning models to predict, classify or optimise decisions. Use this Job Dictionary profile to define a modelling role without confusing it with operational BI.
Essential skills
Knowledge
- Desafíos específicos en el análisis de datos de salud
- Interpretación de códigos médicos y diagnósticos
- Métodos de visualización y exploración de datos
- Técnicas de limpieza y preprocesamiento de datos de salud
- information categorisation
- statistics
- data mining
- information extraction
- resource description framework query language
- query languages
- data models
- online analytical processing
- visual presentation techniques
Skills and competences
- speak different languages
- Identificar fuentes de datos de salud relevantes
- interact professionally in research and professional environments
- Mapear datos entre diferentes formatos y vocabularios para la interoperabilidad
- Realizar preguntas relevantes
- apply research ethics and scientific integrity principles in research activities
- implement data quality processes
- build recommender systems
- communicate with a non-scientific audience
- develop professional network with researchers and scientists
- demonstrate disciplinary expertise
- develop data processing applications
- operate open source software
- disseminate results to the scientific community
- design database scheme
- write scientific publications
- establish data processes
- evaluate research activities
- manage research data
- manage findable accessible interoperable and reusable data
- manage open publications
- manage data collection systems
- integrate gender dimension in research
- perform scientific research
- conduct research across disciplines
- handle data samples
- normalise data
- think abstractly
- mentor individuals
- promote open innovation in research
- promote the transfer of knowledge
- deliver visual presentation of data
- publish academic research
- perform data cleansing
- draft scientific or academic papers and technical documentation
- collect ICT data
- apply for research funding
- use databases
- use data processing techniques
Transversal competences
- execute analytical mathematical calculations
- increase the impact of science on policy and society
- manage intellectual property rights
- manage personal professional development
- perform project management
- report analysis results
- interpret current data
- think analytically
- promote the participation of citizens in scientific and research activities
- synthesise information
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What to assess for this role
Assess statistical solidity, experimentation, communicating uncertainty and data ethics.
See psychometric assessmentLo que más nos preguntan
Common questions about this role when you are hiring or writing the job profile.
- What does a data scientist do?
- Forms hypotheses, builds and validates models, and works with engineering to productionise them when relevant.
- Is ML always required?
- No. Many problems need classical statistics and good experiment design; ML is a tool, not the whole job.
- What to assess when hiring?
- Quality of reasoning, reproducibility and the ability to say when a model should not be used.
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Sources
This service uses the ESCO classification of the European Commission and the Mapha Taxonomy developed by OTIC SOFOFA (CC BY 4.0), in an adapted version. Group codes come from the ILO's ISCO-08. See sources and licences