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What is a data lake in basic terms?
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Thought this was interesting. Across 160 teams of researchers, just about all failed to make good life outcome predictions on things like GPA, evictions, layoffs, and others. Data followed 4.5k families across 15 years, with 13k features (varied over time). Haven't looked at it directly yet, but will be turning the docs and data inside out... In the meantime, authors claim this as showing the limits of ML. Oh, and it's published in PNAS, so you know there's some big publication energy there.
https://www.pnas.org/content/117/15/8398
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The real answer is that they’re hiring a data analyst and included the data science term to attract more candidates
There are roles that used to be analysts that are now called data scientist. When I interviewed with Facebook, they had me interview for the applied scientist track because I was overqualified for data scientist
And to be fair to you, a good data analyst should be a ‘data scientist lite’. But the updated title is meaningless
It’s really depends on the company. I work for Accenture Intelligence field. I would consider myself a Data Science Analyst because I do not do the task of data scientists but I do work with them pretty heavily. I would probably assume that is what the companies are looking for. Someone who knows about data science but maybe not the technical skills.
Sort of like a project management role or requirements gathering role who can work cross functionally. Data Scientists tend to only work in data science but I can work with the client and product team and design team to figure out the needs so I can turn them around on the data science team to produce what is required.
I always thought it meant the company wants someone with data science abilities but only want to pay at the analyst rate. I
In my experience it’s a real data science role, but lower on the track for people who don’t yet have a postgrad degree. Can probably be high or low expectations depending on the environment.
Definitely have grad school on the mind! Should clarify, a lot of the DS Analysts I work have Masters degrees—it’s not all undergrad only, but pre-Doctorate. And yeah, always either stats econ or a physical science (pure CS usually leads to engineering).
Many multidisciplinary firms use the term “Analyst” to distinguish a level (not familiar with what levels mean in FAANG but similar to L1-L7). So ones official internal title may be “Analyst, Data Science” while effectively playing an analyst-level Data Scientist role. McKinsey for example offers synonymous Data Science titles that we can use externally to avoid confusion (e.g. Analyst, Data Science is the first Data Scientist position at McKinsey).
Unfortunately I wouldn’t be surprised if companies where titles are less structured see people misusing these, but at least at McKinsey there’s a pretty direct translation.
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What A2 said, I like that answer
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Like what A1 said it’s all BS Buzzwords