Data Science vs Machine Learning Engineer: Explained

Feeling overwhelmed by all the data buzzwords? This video breaks down the key differences between Data Science and Machine Learning Engineering for those interested in tech careers.
In this video, you'll learn:
What is Data Science? We'll unveil the exciting world of data wrangling, analysis, and uncovering hidden insights.
What Does a Data Scientist Do? Discover the responsibilities of Data Engineers, Data Scientists, Data Analysts and Machine Learning Engineers
Data Science vs. Machine Learning: We'll clear up the confusion and explain how these two fields work together.
Big Tech vs Startups: Explore career paths in both big tech companies and startups.
Real-World Examples: Learn the key skills and differences from real life job postings Data Scientist and Machine Learning Engineers
Breaking In: Which is the easiest role to break into?
Let’s jump in!

🖥️ Netflix Job Postings:
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📎 Resources:
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✅ Download the FREE Job Search AI/ML Keyword Toolkit in a PDF file
✅ FREE Study Plan to Learn AI/ML Engineering FAST with ChatGPT
✅ The Ultimate Resume Handbook
✅ FREE Interview Prep Resources
✅ FREE ATS-Friendly Resume Template

🎙️Other videos you might be interested in
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👉Top AI Engineer Salary
👉Don’t Be An ML or AI Engineer If You’re Like This…
👉Learn AI/ML engineering FAST with ChatGPT
👉AI/ML Engineer path - The Harsh Truth

🖥️ My SETUP
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📣✨Connect with me
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I give advice for navigating your engineering career journey successfully.

⭐️About me
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Hi, I'm Jean, Founder of Exaltitude. I've been working in tech for the past 20 years as an engineer, an engineering manager, and a team builder. I was the 19th engineer at WhatsApp and worked with Facebook as an Engineering Manager for six years after the $19B acquisition. I'm excited to share the ins and outs of a Software Engineering career based on my experience as a hiring manager for top tech companies.

Credits
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🖼️ All images, graphics, and b-roll videos used in this video were sourced from Canva.

* I may earn a small commission for purchases made through affiliate links on this website. This commission comes at no additional cost to you. Your support helps me continue creating content for you.

Music 🎵
Positive Fuse - French Fuse
From YouTube Audio Library

Timestamp
0:00 Intro
1:01 What is Data Science?
1:17 DS Process
2:39 Data Science vs. Machine Learning
2:59 Big Tech vs Startups
3:58 Real World Examples
5:58 Finding Key Skills
6:28 Breaking In

[exaltitude]

📌 Download the FREE Job Search Keyword Toolkit in a PDF file

[by]

Data scientists are becoming more like data analysts. They answer BI questions and the ml models they develop are for self use. Where as MLE the goal of their ml model (in all kinds of modality) is to serve customers, that’s where engineering comes in, for productionalization. That’s why it’s harder.

[mahiaravaarava]

Data scientists focus on analyzing and interpreting complex data to drive business decisions, often using statistical methods and visualization. Machine learning

[isalutfi]

Hi Exaltitude. Am your new subscriber. So glad to see the notification. Currently am learning data science and love this video. Thank you for talk about data science vs machine learning. Keep it up!

[ebukachuqz]

Jean is very supportive and answers the deepest questions Noobs in the AI space would have, in the realest and clearest way possible. Thank you Jean💐💐

[geralds]

Great info shared in this video. There is definitely a distinction to be made between Data Science vs. Machine Learning. It can be pretty unclear at first glance. But a dive into the intricacies truly uncovers a few cool & unique subsets of info for each subject matter.

[rishiroy]

loved your analysis. Gained tons of insight. great video as always madam.

[newbie]

Really tough to break into, especially if your university isn't the best one in the country. Ig networking is the easiest way to get an "internship" which puts your foot in the door. Atleast in India, half of the startups are paying peanuts to do what is essentially data-entry tasks, paying close to 25% of what other established companies pay for a Software Internship :/

[iabheek]

I don't know why😂 but I restricted other yt channels discussing broadly about the future scopes and importance of Data Science and ML. I just love to enlighten my knowledge of Data Science, ML, AI only from you😂😂 I wait eagerly for your videos, I get a different vibe from your contents. I refuse to gain knowledge from other channels😂, I just want you to teach me. Please carry on making contents, otherwise I'll stay illiterate in this field throughout my whole

[chuckpg]

That’s odd. I use power bi as a part of my enterprise 365 account. I do all this without any degree. Power query extract data from SharePoint via excel or list (or any other database) i cleans and transforms the data loads it to power bi. Then I create visualization and post those a dashboard people subscribe to. I am not an engineer or scientist…. At all

[sutofana]

do you think is it possible to mix surgery and ai/ml?

[ajinkyapahinkar]

Good luck getting into these fields 😂 been at it for close to a year now😈

[HungryBen-dy]

Can you please list the data structures and algorithms student have to study and know for ML engineer?

[AishikaDas-qe]

One day I'll become an ai engineer

[InspoShreyo]

So one first becomes a data analyst to data scientists and then to ai/ml enginner right?

[gyahoo]

Hey Jean can you give some review about UChicago MS in CS program please

[vishwaprasanjana]

Can I start a career as a machine Learning Engineer?

[anonion]

Hey remember me 😀, can you give me a brief difference between Responsible AI field and NLP, their future scope extra.... I'm confused 😕

[apamwamba]

Data Scientist is becoming a controversial term. Not very exact or precise.. like ML or DE

[dhruvsoni-ekyp]

I'm from India and I'm going to start my AI and ML Btech degree of 4 years
What think I should focus on to get a good jo???