Nowadays more and more data scientist are looked for by employees. Data science are a combination of several disciplines, which included statistics, data analysis, machine learning, and computer science. This could be scary if you are new to data science, since it includes so many different things. However, you should keep in mind that different roles and companies emphasize some skills over the others, so you don’t have to be an expert of all these disciplines. In this article we will shed some light of four different data science jobs.
One of the most common looked for employee’s are data analyst, which is an synonymous for data scientist. Your job might consists of tasks pulling data out of SQL databases, being an Excel or Tableau master, or producing basic data visualizations and reporting dashboard. You might analyze the results of an A/B test or take the lead on your company’s google analytics account.
Another well used synonym for data scientist is a data engineer. Companies looking for a data engineer are often companies that have a lot of traffic and a lot of data and are looking for someone who can set up an infrastructure of this data in order to move forward. In this kind of job heavy statistics and machine learning expertise is less important than software engineering skills.
Machine learning Engineer
The Machine learning engineer are for companies whom their data is their product. In this case, the job as machine learning is pretty intense and most suitable for someone who has a formal mathematics, statistics, or physics background hoping to continue a more academic path.
The data scientist in general
Most of the companies are looking for generalist to join a team full of other data scientist. In this case it is important that you can perform analysis, production codes, visualize data etc.
In either cases, most data entry jobs don’t require you to know everything and to have much experience of every discipline. If you are still looking for a data entry job, then only remote jobs could help you out.