5 pillars of data scientist career

data scientist career

  1. Genetically Modified Leadership
  2. Great Power Great Responsibility
  3. Big Picture in Big Data
  4. KISS
  5. Feedback

 

  1. Genetically Modified Leadership:

Genetically Modified Leadership You and you alone there to guide and lead yourself. To get noticed by the world you have to modify well exactly like GMO food. Tackle weakness and polishing your strengths lead you to greatness. By concurrently being the best mentor and best student you can possibly be, you will bring forth your GM leadership skills. Leadership will remove self-doubt and motivate you with a heightened self-worth. Control and create your own views to be more positive and productive. The daily intensity of the data scientist role can be increasingly stressful because they have data and data is power.

2. Great Power Great Responsibility:
Great Power Great Responsibility
Power and responsibility always exist in parallel. Nowadays data is power and here comes the responsibility. So, calm yourself being the highest priority then and only then other thing goes well.

3. Big Picture in Big Data:
Big Picture in Big Data
In the age of big data, it is essential to converge your environment into manageable points so that you can keep up a big picture perspective.

4. KISS(keep it short and simple):
KISS
The KISS principle states that most systems work best if they are kept simple than made complicated. So, keep rules and procedure of any model short and simple so that it will not burn your ass in coming future. And always keep in mind Albert Einstein quotes – “If you can’t explain it simply, you don’t understand it well”. and “Make things as simple as possible, but not simpler.”

5. Feedback:
Feedback
Here comes the blood of data scientist i.e feedback. After countless efforts, data scientist waited for feedback to come. Feedback acts like oxygen, blood, all things which make you alive every moment. The more feedback the more powerful you and your work will be.

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