Data Science Developer with R Salary in 2024
How statistics are calculated
We count how many offers each candidate received and for what salary. For example, if a Data Science developer with R with a salary of $4,500 received 10 offers, then we would count him 10 times. If there were no offers, then he would not get into the statistics either.
The graph column is the total number of offers. This is not the number of vacancies, but an indicator of the level of demand. The more offers there are, the more companies try to hire such a specialist. 5k+ includes candidates with salaries >= $5,000 and < $5,500.
Median Salary Expectation – the weighted average of the market offer in the selected specialization, that is, the most frequent job offers for the selected specialization received by candidates. We do not count accepted or rejected offers.
Trending Data Science tech & tools in 2024
Data Science
Data science is a transdisciplinary academic field that employs the use of statistics, scientific computing, scientific methods, processes, algorithms and systems to extract or infer knowledge and insights from data that is sometimes noisy, structured or unstructured.
Data science mixes domain knowledge from the application domain, such as the natural sciences, information technology and medicine. Data science is also a science, a research paradigm, a research method, a discipline, a workflow, and profession.
According to one definition, data science is ‘a concept to unite statistics, data analysis, informatics and their relevant methods’ that attempts ‘to grasp actual phenomena and analyze them with data’. It relies on methods and theories derived from many disciplines, but found within mathematics, statistics, computer science, information science and domain knowledge.However, data science is not merely computer science or information science. In 1998, Turing Award-winning computer scientist Jim Gray envisioned data science as a ‘fourth paradigm’ of science (empirical, theoretical, computational, and now data-driven) and asserted that ‘the impact of information technology is changing everything in science’ (notably, including the ever-increasing flood of data).
A data scientist essentially writes a program, which applies statistical algorithms to the data. It ‘learns’ from these data, and can be asked to make a determination about something similar but novel.