What should a resume look like for an entry-level data scientist?

An ideal resume for an entry level data scientist should be more granular and action oriented as compared to other business analyst roles. In this, the recruiters scan for real-time projects that the candidate has worked on and check if the candidate has worked on similar business problems as they are currently facing in their business. Other than that, the visual representation of the resume holds a lot of focus for the interviewers as well as they always prefer someone who has more organized thought process over others.
Last but not the least, a sneak-peak to the LinkedIn profile of the candidate is always on the cards before recruiting an entry level data scientist.

Here are seven “powerful” terms in Data Science landscape that makes your CV impressive and outstanding for that coveted job you are applying to.

  1. Augmented Intelligence
  2. Blockchain
  3. Native Cloud Application
  4. Quantum Computing
  5. Advanced Python Topics
  6. Robotic Process Automation
  7. R

I’ve seen job postings that specifically state that Kaggle experience is a plus. In any case, it won’t hurt. A strong candidate would also include their GitHub repository with a couple of projects just to give the idea of their level as a programmer.