What is the hiring Process of Data Scientist?

In this post you will know the hiring process of Data Science or Data analyst job. There are 2 kinds of companies that are looking for data scientists- Startups and MNCs.Every company has a different stack and a different dataset. This means the technical portion of a data scientist job interview is the part that will vary most between companies, and is the hardest part for which to create universally relevant questions. That said, it’s also likely to be the easiest portion for which to conclude an objective fit: they can solve problems, or they can’t.

MNCs have a bit easy work culture while on the other hand, startups will make you work day and night relentlessly.

STARTUPS:

Generally they will have an Aptitude test which includes Probability, Linear Algebra, Statistics, Distance-Speed related problems and some logical reasoning questions.

This is coupled with a programming test to check your coding prowess in SQL, R or Python to ensure you have sufficient knowledge in machine learning. If selected you will move forward for a final F2F round where you can discuss the JD and further details of the profile. Some might even have a F2F technical round before this.

MNCs:

They start with an aptitude test which includes the syllabus mentioned above and if qualified you will have a technical F2F round with a senior data analyst who will analyze you for your knowledge in data science along with your approach to some analytical problems.

Getting a job in Data Science is not difficult considering the number of hirings currently happening. Always remember-PRACTICE IS THE KEY TO BEING A KICKASS DATA SCIENTIST, just hang in there while you get the right opportunity!