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For analytics fishes that switched over to Google, I have a masters degree in engineering from UVA and over 5 years of operational data science and operations research work experience. I have finally found the courage to move to industry and could use some help in form of a referral and what a typical analytics interview entails at Google . Please help me out .
What’s the WLB like at IBM?
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People chant 80/20 3 times a day and then blame you 6 weeks later when some result seems weird.
😂 you in Gamma?
I work in a very revenue focused operations org with low headcount. We deploy almost everything, and use pilots as a safeguard. Much of our work is naïve to an extreme extent, but most of it works. This makes for two views: the business's and the craftsman's/outsider's. From our upper management's perspective, we're a leading standard in what dollar value analytics has to add. But from the ground and the outside, bastardizing statistics and ML is an obvious cardinal sin, even if it ends up making money and blowing up industry benchmarks like 80% of data science projects failing.
I'm wondering if there are other orgs successful from a business perspective that operate the same way. Or if we're just severaly understaffed and/or incompetent.
I want to feel good about our contribution, but often find this extremely difficult.
That's pretty much every client services team out there.
You and I should start our own company. We'll make no money, but at least we wont betray our true theoretical principles.
I guess I'm asking you if you want to start a public research university with me.
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