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Why does everyone want to become a data scientist?

Why does everyone want to become a data scientist?

The top five reasons to become a data scientist are: the variety of skills you will learn along the way, uniqueness in your company, impact on your company, remote — work from home, and pay. Data science may not go away for a while and could very well become even more of a popular career.

How is data science currently being used in industry today?

Data science is used in the industry to build models, analyze optimization points, make predictions or identify patterns to ultimately improve gaming models.

What inspired you to pursue business?

The main inspiration for starting my own business is my entrepreneurial spirit. There are also successful people whom I admired in my lifetime. A history of entrepreneurs in my family has been a major influence and I have a strong desire to succeed for a purpose much bigger than myself.

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Why do junior data scientists want to get into data science?

Many junior data scientists I know (this includes myself) wanted to get into data science because it was all about solving complex problems with cool new machine learning algorithms that make huge impact on a business. This was a chance to feel like the work we were doing was more important than anything we’ve done before.

How many hours a week do data scientists spend looking for jobs?

But the truth is that data scientists typically “spend 1–2 hours a week looking for a new job” as stated in this article by the Financial Times. Furthermore, the article also states that “Machine learning specialists topped its list of developers who said they were looking for a new job, at 14.3 per cent.

Is being a data scientist a good job?

There are plenty of reasons for this (media hype being one of them) but there’s no doubt that the job of a data scientist is a highly valued one. Check out Gartner’s publishes Hype Cycle for Artificial Intelligence in 2019 below:

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Why are data scientists unhappy in their roles?

The company then get frustrated because they don’t see value being driven quickly enough and all of this leads to the data scientist being unhappy in their role. Robert Chang gave a very insightful quote in his blog post giving advice to junior data scientists: