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Hello! I recently applied for a Travel Procurement Senior Manager role at PwC (role is in NYC and I’m not NYC-based but I believe certain roles can be primarily remote). I have 5+ years of experience in this field and the description/company culture seem like a perfect match to what I’m looking for. Are there any fish from PwC and/or their talent acquisition team that can provide a reference post-submission and insight on the hiring process? Thanks!!
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What is a data lake in basic terms?
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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I see a lot of great DE work go unappreciated by clients and sometimes leadership.
Can’t do DS without quality DE. Aim to learn both. Try learning Databricks, then work your way into the underlying architecture and integrations.
Data engineering is easiest to get into because most DS roles require MS or PhD, but in my opinion data engineering is the more challenging role
I didn’t, started in SWE and transitioned to DE. Landed SWE job because of solid projects plus open source contribs. I would recommend a DE bootcamp, would save you a huge amount of headache and would provide a network of roles. Everyone is migrating to cloud rn so there’s tons of DE opportunities. There’s one called pipeline I believe
For DS, you could also start without a CS background if your math and stats is really good. Do some really interesting projects and apply to places looking for junior DS (rare)
I agree with DE1 and Consultant1&2.
DS is flashy and somewhat easy to fake (from sklearn import fancy_model, fancy_model.fit())
DE is hidden unless it’s not done correctly. So no faking it and don’t expect any praises…
And yeah, learn both would help you a lot in any case. I think we generally miss a “full stack data x” profile.