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The unspoken difference between junior and senior data scientists

 1 year ago
source link: https://towardsdatascience.com/the-unspoken-difference-between-junior-and-senior-data-scientists-f7317590a215
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The unspoken difference between junior and senior data scientists

It’s not what you think

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Photo by Christina @ wocintechchat.com on Unsplash

Being a senior data scientists is treated as a holy grail, though many do not know what it really means to hold a senior position. The most common impression is that being a senior data scientist means that you know everything there is to know about data science and you are truly an expert in it. Which is true, but only to a certain extent because learning in data science never ends. Moreover, there is so much more to being a senior data scientist than just technical knowledge.

You might be thinking, yes, but why should I care just yet? I believe it is important to know the standard path data scientists follow so that you can make smarter decisions about which side of this path you want to be. Simply, the more informed you are, the easier it will be to choose your side when deciding between two companies, two positions or two projects.

[Take the free Data Science Kick-starter mini-course to have a better idea on what data science is, how it’s positioned in the greater world of AI and what requirements there are for becoming a data scientist.]

Let’s take a look at what a data scientist’s usual career looks like.

Junior Data Scientist

Background

As a junior data scientist what is expected of you is to have fundamental data science knowledge. Your capability should be enough to conduct your tasks alone or with help from your more senior colleagues. At this point in time, you will not have much professional hands-on experience.

Learning

You should be open to learning and not be afraid of asking a lot of questions. More senior colleagues will be happy to help you along with your learning. It would not be surprising if you learned something new every day as a junior data scientist.

Projects

Your main responsibility will be the tasks that are assigned to you. You will get assistance from more senior data scientists when you encounter problems. Apart from your technical capabilities, you will be expected to have a good understanding of the parts of the domain that is related to your specific tasks.


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