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Is a Data Scientist Job Stressful

Why do people think being a data scientist is a stressful job? What does the job look like in real life? Before we get into answering these questions in detail in the later sections, let’s address the main question that this topic is all about. Is a data scientist job stressful? 

A data scientist job is definitely not stressful if you satisfy the following criteria:

  • You have a flair for numbers and are good at establishing patterns & trends from large volumes of data.
  • You are a critical thinker, and always come up with out-of-the-box, practical solutions for any problem.
  • You are passionate about data science, and are excited about being allowed to draw useful insights from data.
  • You have strong knowledge of mathematical, statistical and computing concepts.    

Why is a data scientist’s job perceived to be stressful?

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Why do many people think that being a data scientist is a stressful job? As a data scientist, your main role involves handling large volumes of structured and unstructured data. Applying computing, math and statistics tools to this data to add value to them while presenting to the management is generally thought of as a highly challenging and stressful job profile.

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Though not exactly a cakewalk, your job profile as a data scientist will include a few challenges such as the following:

  • Rigorous data mining

You may have extremely good data science skills, but if haven’t collected the raw data properly, these skills will not be of any use. The process of collecting structured and unstructured data from various sources is called data mining. This is usually the most important challenge that you will face in your job, as it involves coordinating with people from different departments. So, the first point to remember if you don’t want a stressful data science career is to collect as much raw data as possible. The more extensive your data is, the more accurate your results!

  • Learning is an ongoing process

A data science job is anything but mundane. You get to learn new things every day. This can work both ways based on your mindset. If you fulfill all the criteria we mentioned right at the beginning of this article, you will thrive at the excitement this job provides. You will be self-motivated to upgrade your skills and learn the latest trends in tools like Python, R, SQL, Power BI, Tableau, coding techniques, and other math and statistical concepts.

Another important point to note is that the data science job is growing phenomenally over the last few years. With trillions of bytes of data being generated in the recent past, the demand for data scientists is at an all-time high. So, as a data scientist, you will face stiff competition in this field. If you are not smart enough to upskill yourself, you will find yourself on the losing side of this competition. 

The outside world may find it a stressful process to keep learning continuously, and upgrade your knowledge. However, the major USP of data science is that it never gets boring. So, if you have a flair for it, you will never experience any kind of stress.

  • High expectations from data scientists

Many people think that a data scientist job is stressful because the expectation from this profile is quite a lot. However, as a passionate scientist, you would agree that this is only a matter of pride for you, and not a matter of stress. When the top management depends on your presentation for making crucial, data-driven decisions, you feel extremely valuable. This motivates you to work harder, and draw up accurate predictive & analytical models for the business to take the right decisions at the right time.

Actual, real-world problems faced by data scientists

Contrary to popular belief, you will never face any stress in your job profile, if you are a smart and passionate data scientist. Having said that, we also should warn you that your life will definitely not be a bed of roses in this field. Some thorns you may have to overcome along the way are explained here. These cannot be termed as challenges per se, but are small hiccups that you might have to experience in your day-to-day job as a data scientist.

  • Troubleshooting problems

One of the worst nightmares you will experience as a data scientist is debugging an error. Imagine doing everything that is needed only to find that your analytical model doesn’t work! Yes, it is very tough to go back to step 1 and try to identify the error. The smart thing you could do in this case would be to rebuild the model. However, if you have a very short delivery timeline, redoing the entire stuff may not be an option. So, you have to be quick enough to come up with alternate solutions for such scenarios.

  • Collaborating with different teams

As a data scientist, you will be required to collaborate with different departments within your company,  stakeholders and other businesses for collecting raw data, and for incorporating their opinions in your final report. Understanding how different niche industries work, and formulating reports accordingly in an easy-to-understand format for the management may take a lot of time. While it may not lead to stress, it may definitely require more time management and communication skills from you.

Bottom Line

As you can see, the job of a data scientist is not stressful, provided you are mentally prepared for it. Yes, you may face some challenges and obstacles in your day-to-day job as a data scientist; however, you can easily overcome them with your soft skills and technical knowledge. Data scientists are paid well, and a lot of expectation rides on them. 

Due to the volumes of data they work with, and the skills they need to learn continuously, their job is usually perceived to be complex and stressful. In reality, data scientists enjoy the pressure and challenges of their job. They never experience any stress, as they feel important and respected in their organization. They know that their job is important for the potential well-being of the business; therefore, they do their jobs with passion and love.

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