Data Scientist Vs ML Engineer Top Differences

Here are the differences between Data scientists and Machine learning Engineers.

Data Scientist

Preparing a goal for an organization is the role of the Data Scientist. He is like a super manager. He has skills in different technologies and processes.

  1. They are not statisticians, data analysts, computer scientists, software engineers, or business analysts.
  2.  The gap between statisticians and data scientists is later one who publish theoretical articles and train statisticians.
  3.  Statisticians think that data science is about analyzing data, but it is more than that.
  4.  They implement algorithms that process data automatically to provide automated predictions and actions.

Machine learning engineer

ML engineer’s role is a subset of a data scientist. They develop the models. Also, they write algorithms to create a new model. Then data science engineers test the machine learning model together.

Roles you need to understand in machine learning jobs.
Job roles in machine learning

Stages in Machine Learning

  • Data collection
  • Data Cleaning
  • Training dataset
  • Generating Model

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Author: Srini

Experienced software developer. Skills in Development, Coding, Testing and Debugging. Good Data analytic skills (Data Warehousing and BI). Also skills in Mainframe.