From data quality specialist to data scientist
11 of the 63 essential skills of a data scientist are already essential for a data quality specialist — about 17% of the job, before you learn anything new.
These numbers compare two occupations, not you and a job. What you personally already cover depends on what you have actually done.
- 11
- skills carry over
- 52
- would be new
- 17%
- of the target job covered
- 63
- essential skills of a data scientist
What a data scientist does
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.
What carries over
11 skillsEssential in both jobs. This is the part of the move you have already made.
What would be new
52 skillsEssential for a data scientist and not for a data quality specialist. Note that the taxonomy describes activities rather than tools, so some of these may be things you already do under a different name.
- 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
- data engineering
- data mining
- data models
- data science
- data visualisation software
- deliver visual presentation of data
- demonstrate disciplinary expertise
- 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
- empirical analysis
- evaluate research activities
- execute analytical mathematical calculations
- increase the impact of science on policy and society
- information categorisation
- information extraction
- 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
- mathematical modelling
- mentor individuals
- online analytical processing
- operate open source software
- perform project management
- perform scientific research
- promote open innovation in research
- promote the participation of citizens in scientific and research activities
and 12 more
Other moves from data quality specialist
1 roles- data analyst12 skills in common
← data quality specialistdata scientist →The other way round
No account needed to start
How far are you from being a data scientist?
MyNodes reads your CV once, maps it to this same taxonomy, and shows you which roles you are already closest to and the few skills that would open the most doors. The file is deleted as soon as it has been read.