Why I should not be a data scientist?

The performance of your model is limited by the quality of data that was used to create it. Thus, if the “dirty work” isn’t something that you’re willing to do in order to work on machine learning models, then data science might not be the best route to take.

Is pursuing data science a good career?

Data science might be ‘the sexiest job of the 21st century’ with fat salaries, but that does not mean it is the right career choice for you. As per AIM Research, 1,400 data science professionals working in India are paid more than INR 1 crore. Data science is about defining and solving business problems.

What are the disadvantages of being a data scientist?

b. Disadvantages of Data Science

• Data Science is Blurry Term. Data Science is a very general term and does not have a definite definition.
• Mastering Data Science is near to impossible.
• Large Amount of Domain Knowledge Required.
• Arbitrary Data May Yield Unexpected Results.
• Problem of Data Privacy.

Why did you choose data science as a career?

Data Science gives meaning to raw data and converts it into meaningful insights that can be used to grow the business and recognize market trends. With so less supply of specialized Data Scientists and a rapid demand, Data Science has become a lucrative career.

Can a data scientist become a CEO?

There aren’t any barriers for data scientists to become a CEO, but they have to prove their skills in each aspect. But they will not have enough time to do data scientist’s work because to be an efficient senior manager, their time and abilities utilize in interacting with peoples.

Is Data Scientist a lonely job?

Data Science Is Siloed Most companies don’t need as many data scientists as software engineers. Other companies are hiring their first data scientist right now. For this reason, many data scientists end up working alone, even if they sit at the same table as developers.

Is data scientist hard?

Like any other field, with proper guidance Data Science can become an easy field to learn about, and one can build a career in the field. However, as it is vast, it is easy for a beginner to get lost and lose sight, making the learning experience difficult and frustrating.

How smart are data scientists?

Generally, Data Scientists and Machine learning practitioners are smart, meaning they have general technical intelligence that makes them formidable within their profession. Clever, on the other hand, goes a step beyond intellectual capabilities.

Why choose data science for your career?

Why Choose Data Science for Your Career 1 Introduction to Data Science. Data Science is the study of data. 2 Pros and Cons of Data Science. The field of Data Science is massive and has its own fair share of advantages and limitations. 3 a. Advantages of Data Science. 4 b. Disadvantages of Data Science. 5 Summary.

Can I become a data scientist with a Statistics degree?

A person with a background in Statistics may not be able to master Computer Science on short notice in order to become a proficient Data Scientist. Therefore, it is an ever-changing, dynamic field that requires the person to keep learning the various avenues of Data Science. 3.

Is there a high demand for data scientists?

The demand for data scientists has skyrocketed over the last few years but the supply for good and quality Data scientists is rather increasing at a much slower pace. About 3 years ago, a research study by professionals at IBM predicted that by 2020, the demand for data science jobs and all other jobs under it will soar by 28\%.

Is data science a dying field?

Data science is not stopping at the Business sector, it has stretched into the science and technology sector and has now become the backbone of every company that handles Big Data. Data science is not dying soon, it is birthing more technologies by the day.