data scientist

Description

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.

EssentialOptional

Theoretical Knowledge

Practical Skills

design database scheme mentor individuals normalise data manage personal professional development develop professional network with researchers and scientists manage research data evaluate research activities integrate gender dimension in research promote the transfer of knowledge manage open publications speak different languages synthesise information apply for research funding collect ICT data deliver visual presentation of data think abstractly operate open source software perform project management build recommender systems promote open innovation in research draft scientific or academic papers and technical documentation establish data processes apply research ethics and scientific integrity principles in research activities promote the participation of citizens in scientific and research activities handle data samples execute analytical mathematical calculations manage findable accessible interoperable and reusable data use databases develop data processing applications implement data quality processes interact professionally in research and professional environments report analysis results communicate with a non-scientific audience manage data collection systems interpret current data write scientific publications perform data cleansing perform scientific research use data processing techniques conduct research across disciplines manage intellectual property rights increase the impact of science on policy and society demonstrate disciplinary expertise disseminate results to the scientific community publish academic research define data quality criteria make data-driven decisions integrate ICT data manage ICT data architecture design database in the cloud teach in academic or vocational contexts manage data manage ICT data classification apply blended learning create data models perform data mining use spreadsheets software