Data Scientist vs. ML Engineer: Career in Tech

Опубликовано: 09 Май 2024
на канале: Exaltitude

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Decoded! Data Scientist vs. ML Engineer.

Confused about Data Science and Machine Learning careers? You're not alone!

Here is an analogy. Imagine you're a chef crafting a signature dish:
Data Scientist (The Chef): Gathers data (ingredients & recipes), analyzes successful dishes (high ratings), identifies patterns (popular ingredients & techniques).
Machine Learning Engineer (The Sous Chef with a Tech Twist): Uses data from the Chef, builds models (recipes) to predict success (popular dishes!), trains & tests models (refines recipes), and deploys models (implements the winning recipe!).

Here's the key:
Data Science is broader, focusing on the entire data analysis process (wrangling, analyzing, extracting insights).
Machine Learning is a subset of Data Science, building models that learn and make data-driven predictions.

Just starting out?
Data Scientist roles might offer more opportunities for junior engineers!

Want to explore these exciting tech careers in more depth?

Download the FREE 4-page PDF with the full keyword lists for top engineering roles on my website!
https://www.exaltitude.io/resume-hand...

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