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Your guide to become an Data Scientist in Malaysia

  • Average Salary

    1,900 - 3,000

  • Job Demand

Who is an Data Scientist

Computer Scientists are now known as the elusive “mathemagical unicorns” with the skills to “extract and interpret the explosion of data from Internet clicks, machines and smartphones,” and are being sought by many industries.

Are you excelling in Mathematics? Attentive to even the smallest details? Likes looking for solutions towards a computer-based problem? Then you are a candidate of high potential for this career! As a Computer Scientist, you will be developing new computer technology with the research that you have conducted to combat several issues from distinct fields. You will usually be working with a team of other professionals to conduct multiple research on numerous area such as computer programmes and softwares.

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The pros and cons of being an Data Scientist

Pros
  • Expect a higher than average salary as you obtain more experience
  • Technological development enables you to finish your work with less effort and more efficiently
  • Perfect for homebodies, this work requires less travel
Cons
  • Deadlines may require you to work for more than 40 hours per week
  • Most of the work is done on a computer, potentially leading to eye or wrist strain

What are all the responsibilities of an Data Scientist ?

  • Attain large amounts of data to study
  • Use analytics programmes to sort data
  • Analyse data to determine trends in the data
  • Create algorithms to solve problems
  • Present your predictions to management
  • Recommend cost effective changes

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What skills do you need to become an Data Scientist?

Being able to present and explain data to people who do not understand technical terms

Keep the jargons hush-hush as normal people will not be able to fully understand what it means. Hence, you will need to simplify the terms or use another way to explain the data to them. As much as they are interested in your data, you will seem like you are speaking an entirely different language from them. Keep it simple and hopefully there will be no miscommunications or misunderstanding regarding the research or the data.

Good with computers

We all know one person who do not see the necessity to go to the computer repair technician his whole life because chances are he already got everything under control. If you are that person, this is the right career for you!

Being able to work with various programming languages

If you are to deal with computers, it is a given that you should be able to apply and use programming languages such as JAVA and C++. These are the languages that you will need to operate a computer programme, software and hardware. The more you know and is proficient at, the better it will be since research of higher levels will require more programming languages as they get more complex.

What field(s) of study should you choose to become an Data Scientist?

  • Statistics
  • Computer Science
  • Information Technology

What are the requirements to be an Data Scientist?

Data science is a combination of statistics and programming, a degree in related field such as Computer Science, Statistics and Information Technology will be useful . Besides that, if you further your studies to the next level such as Master’s Degree or a Doctorate will put you in a better demand as you possess in-depth knowledge and skills of a certain area.

What are the working hours of an Data Scientist

The working hours of a Computer Scientist is regular working hours but you will be required to work overtime or even during a weekends to meet deadlines. Depending on your project or research, you will be required to sacrifice more time to complete them.

Related Jobs

  • Computer System Analyst
  • Computer System Engineer
  • Computer Programmer
  • Database Administrator

Quote

quote
“The rise of Google, the rise of Facebook, the rise of Apple, I think are proof that there is a place for computer science as something that solves problems that people face every day.”
Eric Schmidt

(Former Executive Chairman of Google)

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