5 Reasons NOT to Become a Data Scientist

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Here I present five reasons why you may not want to become a data scientist. The idea is to make sure your expectations are grounded in reality -- something that is increasingly difficult in this era where there's so much different and occasionally conflicting information on the field.

1. You want to make big, huge, sweeping change.
It's easy to come out of school thinking you'll be spending a lot of time implementing cool machine learning techniques daily and changing the world. That's almost never the case though (and if it was, you'd get tired of it!). Unfortunately businesses move a lot slower than that, and doing all the on-paper "fun" stuff is only a part of the equation. Luckily though, if your company knows what they're doing, they'll let you know how you're moving the needle.

2. You want to be a task taker.
Problems in data science tend to be very unstructured and open. It's your job to find the best way to solve these problems, because there's usually more than one. This means it's rare for your boss just to tell you what to do -- you'll have to be a creative problem solver and find the best way for attacking problems. This can often involve going down some roads which don't end anywhere -- so you have to be okay with occasional failure.

3. You don't like working with other people.
Data science is an IMMENSELY multi-disciplinary and collaborative field. If you're not working in the tiniest startup, you're going to be collaborating with analysts, product specialists, and other data scientists. You also have some kind of stakeholder or client that you need to engage with. If you want to just be a "code monkey" you'll probably not be thrilled with data science, because the work requires you to be more of a jack of all trades than that.

4. You don't like keeping up with industry trends.
It's become a bit of a joke the ridiculous number of programming languages and skills that data scientists are expected to be familiar with. While this is heavily exaggerated, there's no question you need to have at least some understanding of the latest and greatest things people in the broader industry are working with. The truth is, learning NEVER stops. If you're in college, it's only beginning.

5. You don't like coding, or math.
The whole process of data science matters! If you're in school in math or statistics but hate programming, you might hate your data science job. Similarly, if you're some kind of programmer who doesn't trust their math or stats skills, just know that you're going to have to flex those muscles, and even if you can quickly prototype tons of linear or ML models, lack of math has the potential to hold you back.

#datascience #BreakingIntoDataScience #DataScienceCareer

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I really appreciate your honesty.

There are too many gurus on youtube with over 100k subscribers who are all like "yea bro you don't need much math man to become a data scientist and still get paid a ton. Buy my course bro."

You are really underrated. But I guess people on youtube only want to hear the good stuff.

We need more people like you in this community. Not some scammer or doxxers like engineered truth.

axisepsilon

I liked your 1st point...we do get bored running/fitting models again and again over time... that's true..

puro-hit

@richardondata Please do a video on the difference between Data Analysis and Data Science, and what it takes to be a Data Analyst

MrLionfox

I don't like to talk to people so this is not for me. I used to be a people person but people messed that up.

Phoenixspin

How much stressful data scientist job ? As compared to web developer

ayeshashaikh

Would you mind sharing how you got into data science? As in what was your path to this career and what you suggest for someone still deciding where to go to college.

tanushreemehta

Nicely done! Good, informative, sincere advice! Thank you!

ahsanmohammed

Thank you. I don't love coding much. I like maths part but I'm not comfortable writing lines of code everyday. Do you still recommend data science as a career for me otherwise I will go into Devops .Please help me with this decision.

srujithsunny

I am trying to make a financial projection for my startup
And i wish i knew data science

qkixsfe

RichardOnData what do You think is Business Analysis or Data Analysis"easier" than Data Science? Thanks for you videos!

arpadnagy

Hello
I am above 50 years old - I have Master degrees in Business Administration and Statistics . I have also done programming at the initial stage of my career and had been working in the ICT area. Recently I have acquired knowledge of ML with Python. I wonder why I didnt think about being a data scientist earlier ! Anyway I want to be one one now - almost at the fang end of my career.. I have worked in the Middle East and India and in the UK for only 1 year after MBA.
I am a very fast learner .
Can anyone help me in getting data scientist or analyst or business analyst job anywhere in the world? I know my age maybe a negative point but then I have vast experience of working in different business area.

MsSha