Why Companies aren’t looking for Data Scientists — The Holy Grail of Data Science Career
Have you ever threw yourself into the interview process and failed? Here are the ten secrets increasing your odds of getting a dream job.
Do you find yourself stacked in business intelligence reporting, data pipelining, or software engineering routines and feel that you were born for something more?
Or, did you ever get rejected from the candidates’ pool, and you feel that you have done everything right?
Those situations appear from time to time and force us to think about what we could do better or differently to get a dream job or contract.
It is not only about building hard and soft skills, learning about the potential employer or client, and practicing interviews. It requires holistic reflection around ten key concepts to make it happen. Let’s explore the first one in this article.
1. Firms are not hiring Data Scientists
This subtitle sounds crazy as, according to Gartner, it is the sexiest job in the 21st century.
Has the hiring manager ever asked you if you are a good data scientist?
Most probably not. But he would certainly ask how you would improve the accuracy of convolutional neural network recognizing faces if you would be applying for the position of computer vision engineer. It could be a start-up entering a market with a new face recognition solution for smart buildings.
Becoming a passionate problem solver and expert in a particular industry is the key to success. Think about the following questions to find your niche in the broad data science universe:
- What area of data science excites me?
- What industry do I want to be in?
- What are the major trends affecting my ideal profession? How might it change in the future?
- What hot topics in my field I should address to stay competitive?
- What is the compensation ranges of my target profession?
- What education and training are required?
