Highest Paying Jobs in Data Science

Data Science is one of the highest-paying career options today. There are many jobs in the Data Science field you can prepare for as a fresher or an experienced professional. So, if you want to know about the highest-paying career options in Data Science, this article is for you. In this article, I will take you through some of the highest-paying jobs in Data Science.

Highest Paying Jobs in Data Science

Below are some of the highest paying jobs in the Data Science field you can prepare for being an experienced professional or a fresher.

Data Engineer

A Data Engineer is a Data Science professional who collects, transforms, and process data according to the need of the business.

If you are already working in the Data Science field with experience of one year, you can prepare for the role of a Data Engineer. You need to have a good knowledge of Data Structures, databases, data cleaning and preparation, and cloud computing for this role.

Data Scientist

A Data Scientist is a Data Science professional who works with the data generated by the business to solve business problems.

If you are a fresher, you can get the job of a Junior Data Scientist or a Data Analyst. And if you have an experience of a year in the Data Science field, you can find opportunities for the role of a Data Scientist. To become a Data Scientist, you need to have good knowledge of statistics, Machine Learning, and working with data.

Data Architect

A Data Architect is a Data Science professional concerned with designing, creating, deploying, and managing an organization’s data architecture.

The role of a Data Architect is not an entry-level job. So you can only prepare for this role after having an experience of more than a year. To become a Data Architect, you need good knowledge of data architecture, data structures, databases, and cloud computing.

Data Modeler

A Data Modeler is a Data Science professional concerned with designing and constructing databases that help access and utilize data more effectively.

The role of a Data Modeler also is not an entry-level job. So you can only prepare for this role after having an experience of more than a year. To become a Data Modeler, you need good knowledge of database management, data structures, and cloud computing.

Machine Learning Engineer

A Machine Learning Engineer is a Data Science professional who uses data and algorithms to build intelligent systems.

You can get the role of a Junior Machine Learning Engineer as a fresher. And if you have an experience of one year, you can find opportunities for the role of a Machine Learning Engineer. To become a Machine Learning Engineer, you need to have good knowledge of statistics, Machine Learning algorithms and Deep Neural Network architectures.