Data Scientist Salary in Indonesia, Skills Required, and Duties

Along with the development of technology, of course also develop various new professions that have sprung up. One of them is data scientist. For some you may be familiar with this one profession. The task of a data scientist is to collect and clean various irregular data, analyze several types of data in large quantities to find insight (insight or understanding of an issue). For the company, this insight will later become a strategic recommendation that will be used by the company’s shareholders to develop their business.

Meanwhile, for other institutions, generally the insights from data scientists will become strategic recommendations that will be used by policy makers to realize policies. According to the World Economic Forum (WEF) report, this profession is included in the most shining and most needed profession in 2025.

Data scientist salary in Indonesia Seeing the promising data scientist profession opportunity, what is the salary of a data scientist in Indonesia? Based on the report “Trends and Salaries of Indonesian Digital Workers 2021” compiled by job marketplace company, Glints, data scientist salaries in Indonesia range from Rp. 10,000,000 to Rp. 20,000,000.
Data scientist job
Broadly speaking, the tasks of a data scientist include: Data scientists have the task of analyzing company databases to improve product development, marketing, and business strategies Monitoring, analyzing model performance and data accuracy and analyzing data to gain insights that can be used in developing the company’s business.

Skills that a data scientist must have
1. Analyzing in mathematical and statistical concepts A person who has a profession as a data scientist must have basic skills in mathematics and statistics. Fundamentals such as calculus, linear algebra, are the most widely used parts in the analysis process. Likewise with statistics, which helps data scientists understand the meaning of data, the process of validating data hypotheses, preparing forecasts, and so on.

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