Senior solutions engineer Interview Questions | Glassdoor

Senior solutions engineer Interview Questions

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If you're only given the data without knowing anything about the dataset, how would build a machine learning model from it?

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The first step is to review the distributions, understand the data types, visualize, etc. This is a pretty straightforward Data Science question

If all the variables are numerical: 4 steps: 1. Matrix Scatterplot, 2. Center and Scale the features , 3. Either dimension reduction (PCA or T-SNET depending on the data) and 4. cluster . One can also use an encoder to reduce the dimension space. If all the variables are binary (one-hot encoder) you can just use Boltzmann Machine to reduce your space and find clusters. However, it all depends on the characteristics of the data, I found out while this technic may work in most cases, I still stumbled into a case where such technic failed.

How will you contribute to our culture (paraphrased)?

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How did we contribute at old employers ...

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Why did I leave the last 3 places in such a short time was not too bad

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Case study related to a fictitious hospital

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"I heard salesforce.com went down last week; How can we trust the product? our business needs to be live constantly." [paraphrase]

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During the Demo - a question was asked about integrations with legacy systems

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How familiar are you with the technical side?

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Why you, why the role, why the company?

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Why should we hire you?

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