Data Scientist Vs. Machine learning Engineer

Here are roles and responsibilities of a Data Scientist and Machine learning Engineer.

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 the process.

  1. Data scientists are not statisticians, nor data analysts, nor computer scientists, nor software engineers, nor business analysts.
  2. One of the reasons why the gap between statisticians and data scientists who publish theoretical articles and train statisticians.
  3. Many statisticians think that data science is about analyzing data, but it is more than that.
  4. It involves implementing algorithms that process data automatically to provide automated predictions and actions.

Machine Learning Engineer

Machine Learning engineer’s job role is a subset of a data scientist. These people involved in developing the models. Also, they have to write an algorithm to create a new model. After that data science, engineers join to test the machine learning model. 

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.