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Data Scientist vs. Machine Learning Engineer. Who Has a Cooler Job?



Springboard

Chatting with Sreeta, a data scientist @Uber and Nikunj, a machine learning engineer @Facebook. Learn data science with a job guarantee: https://www.springboard.com/workshops/data-science-career-track/?utm_source=youtube&utm_campaign=youtube-sreeta-dsc&utm_medium=video&utm_term=sreeta
Learn ML engineering with a job guarantee: https://www.springboard.com/workshops/ai-machine-learning-career-track/?utm_source=youtube&utm_campaign=youtube-nikunj-aic&utm_medium=video&utm_term=nikunj

1:22 What does the future of AI look like?
2:48 Becoming a data scientist @Uber
5:15 What’s the difference between data scientist and ML engineer?
10:13 Do you need a CS degree?
12:04 Can a data scientist become a ML engineer? Vice versa?
12:42 What skills do you need to become a data scientist/ML engineer?
19:35 Who has a cooler job?
20:54 Tips and advice
22:33 Kickstart your data science/ML engineering career!

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34 thoughts on “Data Scientist vs. Machine Learning Engineer. Who Has a Cooler Job?
  1. 1:22 What does the future of AI look like?
    2:48 Becoming a data scientist @Uber
    5:15 What's the difference between data scientist and ML engineer?
    10:13 Do you need a CS degree?
    12:04 Can a data scientist become a ML engineer? Vice versa?
    12:42 What skills do you need to become a data scientist/ML engineer?
    19:35 Who has a cooler job?
    20:54 Tips and advice
    22:33 Kickstart your data science/ML engineering career

  2. I can't even Fuck her for $1,though see is dollar hungry.normally corrupt,studied in India in state run institute from tax payers money but she get skill went to fulfill self interest and physical and sexual desire ,in search of big penis.I bet you,she can replace when she find a guy with bigger penis then this bald guy with more dollars.

  3. Being an civil engineer can i study for programming…i mean does it make sense in reality….or am i just going to mess up everything….i really want to know please reply anyone

  4. She seems like she could be a very good teacher. She explains everything in detail and uses vocabulary that’s understandable to those who are not familiar with her industry. Would love to learn from her

  5. Looking at both of their profiles – the ML engineering guy has way more of real cred quals than the "Data Scientist" here. Her entire Ph.D. tenure was of two years(go figure) and they pubs are seriously hilarious. Go ahead and call me arrogant but there needs to be an ounce of humility that comes with your knowledge(looking at how the "data scientist" talks over here).

    I am part of FAANG and I tell you – ML is still growing; lot of things are being defined at the moment. Data Scientists are hyped up data analysts. At least the real ones in fintech (east companies) are fantastic and real. They have amazing creds in terms of aptitude. Their interviews literally set and raise the bar for being data analysts. Uber Data Scientists are a joke. A very good friend of mine (Who is a DS at Uber btw) laughs every time I ask her how would she compare Uber's DS interviews with the likes in real fintech ones. Seriously.

    The ML Engineer's LinkedIn profile in this video has quantifiable creds. Masters from Berkeley. Computer Science – Neat. Knows his fundamentals. Worked as an ML engineer in other comps before joining facebook. And now a Senior in FB. That's a neat trajectory. You don't do a namesake PhD and get into Data Science. I stress on this people – There's no freakin science there. You know where's real Science? – "COMPUTER SCIENCE". There's a real reason why someone has put "SCIENCE" there.

    Go learn your DS, algo – be extremely thorough in these. Using the example she has referred to in the video: Point A to Point B? Freakin Travelling Salesman. I wonder what Data Scientists do over there? All these are glamorous roles which you will definitely learn as you specialize in your career role. Personal suggestion(not an advice) – STAY AWAY from Data Science as your career. It's hogwash. ML engineering – Definitely a linear trend ahead in terms of career progression. You get to work on real life impactful problems. You can measure your career success when you look back and quantify clearly what you have achieved.

    And there's a difference between schooling and education. Indians at least are starting to understand the spectrum of how IITians end up in their career. There are these actual top AIR folks (IITD CS and IITM CS) – talking only about CS – And they end in up amazing academic tracks at Caltech or MITs(true to what they have started doing in their career). And you have these "Data Scientists" with a namesake Ph.D. starting their track in random metallurgy and civil and ending up in these hogwash roles because the economy is well enough to pay them money. Sheesh!

  6. Nonsense: 16:14 if you were to do a derivation by hand for eg doing backpropagation for CNN networks eg using Alex net or residual Networks it would totally make someone mentally ill.

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