LinkedIn data scientist inference and algorithms
What is LinkedIn data scientist, inference and algorithms like? Is this a track within linkedin ds family? What’s the difference between this position and ds analytics? Is this one mainly focused on ab tests and ml? And any diff between this one and ml engineer? #datascience #linkedin
This is the engineering/infra track. If you want the ML track make sure you’re interviewing with track 2. DS is not standard ML engineering but there’s a track who focuses more on it vs standard ab testing etc
What is the track 2? Do you mean that inference and algorithms track is actually 2 tracks, one is focused on ab testing and the other is focused on ml? How can I know which one it is? Also what’s the difference between this role and ml engineering?
This is what I heard from a recruiter.. Track 1: Data Scientist - Strategy and Insights that focuses on driving business decisions, AB testing, product analytics etc. less tech focused. Track 2: Data Scientist- Inference and Algorithms: Builds tools and infra for AB testing, machine learning etc. More towards coding but not at the level of production grade code Track 3: Machine Learning Engineer: Builds production systems based on the algorithms developed by DS.
I have heard something similar, but the third track should be data engineering. MLE should be a separate to DS.
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