Goto

Collaborating Authors

Which Career Should You Choose? Data Science vs Artificial Intelligence

#artificialintelligence

As career options, data science and artificial intelligence are very popular in the technology field. Here is the comparison between the jobs related to data science and artificial intelligence. Data scientists extensively use statistical methods, distributed architecture, visualization tools, and diverse data-oriented technologies like Hadoop, Spark, Python, SQL, R to glean insights from data. The information extracted by data scientists is used to guide various business processes, analyze user metrics, predict potential business risks, assess market trends, and make better decisions to reach organizational goals. On the other hand, an artificial intelligence engineer is responsible for the production of intelligent autonomous models and embedding them into applications.


Data Scientist vs Machine Learning Engineer Salary

#artificialintelligence

This article aims not to compare roles as if one deserves more money or not, but is instead a guide allowing professionals in these two fields to assess against their current salary. However cliche, it is still important to remember these two things when asking for a higher salary: it does not hurt to ask, and sometimes, you will not get what you do not ask for. Please keep in mind that these are more general statistics, as you could be specific as you want to be to see what your salary should be. Instead, these values are instead a directional guide for you to use. With that being said, let's discuss these two roles regarding salary at each seniority level so that you can better understand where you should be in comparison to others working as data scientists and machine learning engineers -- as well as for recruiters to gauge their companies compensation packages.


Data Scientist vs Data Engineer Salary

#artificialintelligence

This article is the third, a part of a continuing series on reported salaries between popular data/tech roles. I will link the other two at the end of this article. This article aims not to compare roles as if one deserves more money or not, but is instead a guide allowing professionals in these two fields to assess against their current salary. However cliche, it is still important to remember these two things when asking for a higher salary: it does not hurt to ask, and sometimes, you will not get what you do not ask for. Please keep in mind that these are more general statistics, as you could be specific as you want to be to see what your salary should be.


Data Scientist vs Business Analyst Salary

#artificialintelligence

This article is the fourth, a part of a continuing series on reported salaries between popular data/tech roles. I will link the other three at the end of this article. Like I have said for the previous articles in this series, this article aims not to compare roles as if one deserves more money or not, but is instead a guide allowing professionals in these two fields to assess against their current salary. However cliche, it is still important to remember these two things when asking for a higher salary: it does not hurt to ask, and sometimes, you will not get what you do not ask for. Please keep in mind that these are more general statistics, as you could be specific as you want to be to see what your salary should be.


AI Engineers: What They Do and How Much They Cost?

#artificialintelligence

"If you want to command a multiyear, seven-figure salary, you used to have only four career options: chief executive officer, banker, celebrity entertainer, or pro athlete. Imagine a glass with balls. This glass is a field of Computer science knowledge, and balls are various fields: back end, front end development, embedded. One of these balls is artificial intelligence, and it is special because there are other balls inside: machine learning, natural language processing, and a whole slew of other things. Each of these units individually -- a powerful force and new opportunities to change any sphere.