Different Data Science Roles Explained (by a Data Scientist)




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#DataScience #KenJee #DataScienceRoles

In this video I explain the different data science roles that exist under the broader data science umbrella.

Visuals By The Data Professor. Check out his channel here: https://www.youtube.com/channel/UCV8e2g4IWQqK71bbzGDEI4Q

Before explaining these, it is important to understand the data science life cycle.
1) Data Collection
2) Data Cleaning
3) Exploratory Data Analysis (EDA)
4) Model Building
5) Model Deployment

The difference in the positions is largely based on which part of the data science life cycle that they cover

Data Scientist – Generally covers the whole lifecycle. Needs the broadest array of skills.
Data Engineer – Mainly covers the data collection and cleaning phases
Data Analyst – Mainly covers the data cleaning and exploratory data analysis phases (can be flexible towards collection or model building)
Machine Learning Engineer (MLE) – Usually focuses on model building and model deployment.

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Comment List

  • Ken Jee
    January 11, 2021

    Thanks for watching everyone! Definitely check out the data professor's channel as well! More great visuals of his can be located here: https://github.com/dataprofessor/infographic/blob/master/06-Different-Data-Science-Roles-Explained.JPG

  • Ken Jee
    January 11, 2021

    First of all thx for sharing your knowledge On question,
    Which is better to deploy a model in your opinion(flask or django)
    Which is easier to deploy (flask,django)

  • Ken Jee
    January 11, 2021

    2:20 i,m newbie to data field,but i dont think data cleaning is in responsibility of data engineer of course it,s vary from company to company but it,s not a part of data engineer job
    Data engineer mostly focus on data warhousing,data pipeline,etl &… if i am wrong i dont mind if you tell me

  • Ken Jee
    January 11, 2021

    I thought business understanding /understanding the problem is the first step in a data analysis project.

  • Ken Jee
    January 11, 2021

    I’ve been kind of afraid to ask this question, but what do you think is the major difference between a data scientist and statistician? Sometimes the line gets very thin between the two

  • Ken Jee
    January 11, 2021

    Perfect, easy, short and explanatory.

  • Ken Jee
    January 11, 2021

    Thank You

  • Ken Jee
    January 11, 2021

    I have a business role in Operations / Planning, but all my major accomplishments were related to collecting, treating and analyzing data in Excel and Power BI. I am currently learning Python, R and statistics to do it more professionally, and in the future I would like to be able to do predictions/ML to bring even more value to the business. I fear that strict data roles may get me too far from the business routine, what could be a problem as I do enjoy living in the supply chain area. I am not sure if being a Data Scientist is my ultimate goal, but I also don't know which roles would be more aligned to my objectives. How do you think Data Analyst/Data Science roles would blend with more business roles?

  • Ken Jee
    January 11, 2021

    It will be great if you use slides

  • Ken Jee
    January 11, 2021

    6 july 2020
    Titip sendal

  • Ken Jee
    January 11, 2021

    Would you say that someone should start as an analyst, move into engineer and then scientist?

  • Ken Jee
    January 11, 2021

    Love this series πŸ‘πŸ‘

  • Ken Jee
    January 11, 2021

    2:38 'extract transform blowjobs'

  • Ken Jee
    January 11, 2021

    How hard is it to understand "we take your information & sell it to advertisers while giving it to the DNC for free" the end

  • Ken Jee
    January 11, 2021

    So I'm trying to be a data scientist eventually,and I know from experience I don't like software engineering but I do really enjoy the role I had as a data analyst intern.Would you say looking for a job as a data analust is a good way to gzt your foot in the door to work up to data scientist eventually? I also can't afford to do an advanced degree.

  • Ken Jee
    January 11, 2021

    I have to be an expert in python, for data analyst?

  • Ken Jee
    January 11, 2021

    Loved how you switched up the introduction of the video!
    Your getting better with each upload Ken!

  • Ken Jee
    January 11, 2021

    Great info! love how you broke this down!

  • Ken Jee
    January 11, 2021

    Hey Ken, enjoyed your vlog. I am looking into vlogging myself, just curious it looks like you are reading a tele-prompter – is that the case?

  • Ken Jee
    January 11, 2021

    Hello sir I know this question is coming out from no where, but I feel you are the right person to ask the question so I'm asking
    how to select best 'Categorical features' in classification problem? is there any way to find which categorical feature is contributing more in terms of predicting?

  • Ken Jee
    January 11, 2021

    πŸ™‚ Thanks for the video

  • Ken Jee
    January 11, 2021

    It is possible freelance on data analysis and data science?

  • Ken Jee
    January 11, 2021

    Hey Ken, great video as always. Just a small question, im currently an industrial engineering student (so i have a good background in statistics) and have enrolled in the EDX IBM data science certificate program. I have finished all the courses (excpet for the SQL one which i will start soon) and feel like im fine with the coding and concepts (regressions, clustering, classification, etc. ) but do not know where to go from here since i have only worked on 1 project (the capstone from the course). As a next step i am thinking of learning tableau (for data visualization) and SQL, but apart from that what do you suggest i do ?
    Thanks

  • Ken Jee
    January 11, 2021

    Good stuff, man. I'm interning as a Data Engineer this summer, and was also one last summer(i actually really enjoyed it). Mainly focused on ETL's and automation using Python and AWS… Do you have any tips on resources where I can better my SQL knowledge?

  • Ken Jee
    January 11, 2021

    It takes how much time to become a data scientist?

  • Ken Jee
    January 11, 2021

    I really appreciate your content Ken. I have a question and will appreciate an answer from anyone .My background is in Petroleum Engineering and want to switch towards Data Scientist there is an online boot camp of 3 months from brainstation( 15000 $cad) to help me become a data scientist. Do you think it's worth it? Once you are a Data Scientist is it easy to transit to data engineer?

  • Ken Jee
    January 11, 2021

    Great video, thanks for explain it so simple

  • Ken Jee
    January 11, 2021

    Thanks for this video. I reminded me of this book "Making sense of Data" by Glenn J. Myatt and Wayne P. Johnson
    It's focused mostly on the first four parts from what I saw.

  • Ken Jee
    January 11, 2021

    What are your thoughts on engineers (chemical) transitioning to a career in CompSci specifically in Data Science?

  • Ken Jee
    January 11, 2021

    hey, you said before you work with 365. is there an affliction code for me to use?

  • Ken Jee
    January 11, 2021

    Thanks for clarification!

  • Ken Jee
    January 11, 2021

    Thank you for the break of each role! Now I know what to expect when I apply for internships in the Data Field later down the road :'))

  • Ken Jee
    January 11, 2021

    Really good and clear eplanation

  • Ken Jee
    January 11, 2021

    I am currently taking a Data science cousre and I'm at regression ,suggest something for me to sharpen my skills.😝

  • Ken Jee
    January 11, 2021

    Do I need to learn Data Collection, cleaning and EDA before moving to build ML models? Or can I directly start with ML and build models?

  • Ken Jee
    January 11, 2021

    Thanks Keen for clear descriptions. Looking for more useful videos further :))

  • Ken Jee
    January 11, 2021

    What's the difference between someone with a masters or PHD in Math who is a data scientist and someone that doesn't have a math background and is calling themselves a Data Scientist because of their experience in the field and some of the classes they have taken in data science?

  • Ken Jee
    January 11, 2021

    Nicely broken down!! As someone who just landed in this industry, it was very interesting!

    Like the visualizations and the new style as well!!

  • Ken Jee
    January 11, 2021

    Thank you again for this video, Ken. We can say that I already work as a data analyst, however my tools are restricted to BI and excel. It turns out that I have the business core, lacking programming and math skills. Your videos have been helping me to create a plan in this process to become a data cientist. thank again bro

  • Ken Jee
    January 11, 2021

    23k subscribers! You are really blowing up. Not long ago you were under 3k, then 10k, then wow! It's great to see you are growing. Keep up the great content.

  • Ken Jee
    January 11, 2021

    Great explanation!

  • Ken Jee
    January 11, 2021

    Wow!
    This video was definitely an up in production. It is really awesome to see you smile when you discuss your favourite topics in DS or f.e. when you did the intro, it really shows that you're passionate about what you do and you enjoy making videos. The nice graphics were a great addition to your video, especially since they really fit well with a topic like this one – showing what role is located where in the project lifecycle. I'm excited to se what you come up with next! πŸ˜€

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