Emerging Occupations
Data Scientists
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, present and communicate data insights and findings, and recommend ways to apply data.
Main tasks
Data Scientists' main tasks include developing machine learning models, data mining, data analytics, visualisation, reporting and consultation.
This graph shows the number of persons employed in this occupation from 2015 to 2019.
This chart includes two measures of average (median and mean) weekly wage for this occupation, as well as the 25th and 75th percentile. These latter two figures represent the wages that the top 75 per cent and the top 25 per cent of employees can expect to earn equal to or more than, respectively.
This infographic shows the demographic characteristics of persons employed in this occupation. It shows the average age of all workers, the average hours worked per week, the percentage that work full time, and the percentage of the workforce that is female.
This chart shows the proportion of workers employed in this occupation by their highest qualification level. As these are emerging occupations, the links between qualification level and employment are not always clear cut, explaining why some occupations have a mix of employees with higher education qualifications and some employees have no post-school qualifications.
These skills are those most frequently mentioned in Australian job advertisements for this occupation – they do not represent the full set of skills or qualifications required to undertake this role, or the most important skills. Sometimes, skills that are critical to perform a role are not expressed in a job ad as they are considered common knowledge, or a qualification is used as a proxy for these skills.