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Scientist Interview Questions

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I was asked to complete a complex and open-ended data science task. Really used the full range of my data science skills.

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I did the usual stages of the data science process - Data Prep, EDA, Modelling, Visualisation, Contextualisation.

Can you give an example of when using the accuracy of a model would be a poor descriptor of that model?

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Talk me through how a SVM works, and what the limitations of that technique are

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Where would you see yourself in 3 years time?

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How would I go about building a formulation/analytical team to develop a formulation?

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Retro and forward synthesis

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SWOT analysis and competency based questions.

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We are very interested in your cv but our maximum we are willing to pay is my actual wage. Would you consider it?

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How will i meet project deadlines

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What are my achievements

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